[{"data":1,"prerenderedAt":2774},["ShallowReactive",2],{"active-banner":3,"navbar-featured-partner-blog":24,"navbar-pricing-featured":306,"press-releases-listing":1086},{"id":4,"title":5,"date":6,"dismissible":7,"extension":8,"link":9,"link2":10,"linkText":11,"linkText2":12,"meta":13,"stem":21,"variant":22,"__hash__":23},"banners\u002Fbanners\u002Flakestream-ufk-launch.md","StreamNative Introduces Lakestream Architecture and Launches Native Kafka Service","2026-04-07",true,"md","\u002Fblog\u002Ffrom-streams-to-lakestreams","https:\u002F\u002Fconsole.streamnative.cloud\u002Fsignup?from=banner_lakestream-launch","Read Announcement","Sign Up Now",{"body":14},{"type":15,"value":16,"toc":17},"minimark",[],{"title":18,"searchDepth":19,"depth":19,"links":20},"",2,[],"banners\u002Flakestream-ufk-launch","default","zRueBGutATZB0ZnFFHwaEV7F0Di4tnZUHhgOiI4cu6k",{"id":25,"title":26,"authors":27,"body":29,"category":289,"createdAt":290,"date":291,"description":292,"extension":8,"featured":7,"image":293,"isDraft":294,"link":290,"meta":295,"navigation":7,"order":296,"path":297,"readingTime":298,"relatedResources":290,"seo":299,"stem":300,"tags":301,"__hash__":305},"blogs\u002Fblog\u002Fstreamnative-recognized-in-the-forrester-wave-streaming-data-platforms-2025.md","StreamNative Recognized as a Contender in The Forrester Wave™: Streaming Data Platforms, Q4 2025",[28],"David Kjerrumgaard",{"type":15,"value":30,"toc":276},[31,39,47,51,67,73,78,81,87,102,109,115,118,124,127,134,140,143,146,157,163,169,172,175,178,184,191,194,197,204,207,210,224,229,233,237,241,245,249,251,268,270],[32,33,35],"h3",{"id":34},"receives-highest-possible-scores-in-both-the-messaging-and-resource-optimization-criteria",[36,37,38],"em",{},"Receives Highest Possible Scores in BOTH the Messaging and Resource Optimization Criteria",[40,41,43],"h2",{"id":42},"introduction",[44,45,46],"strong",{},"Introduction",[48,49,50],"p",{},"Real-time data has become the backbone of modern innovation. As artificial intelligence (AI) and digital services demand instantaneous insights, organizations are realizing that streaming data is no longer optional – it's essential for delivering timely, context-rich experiences. StreamNative's data streaming platform is built precisely for this reality, ensuring data is immediate, reliable, and ready to power critical applications.",[48,52,53,54,63,64],{},"Today, we're excited to announce that Forrester Research has named StreamNative as a Contender in its evaluation, ",[55,56,58],"a",{"href":57},"\u002Freports\u002Frecognized-in-the-forrester-wave-tm-streaming-data-platforms-q4-2025",[36,59,60],{},[44,61,62],{},"The Forrester Wave™: Streaming Data Platforms, Q4 2025",". This report evaluated 15 top streaming data platform providers, and we're proud to share that ",[44,65,66],{},"StreamNative received the highest scores possible—5 out of 5—in both the Messaging and Resource Optimization criteria.",[48,68,69,70],{},"***Forrester's Take: ***",[36,71,72],{},"\"StreamNative is a good fit for enterprises that want an Apache Pulsar implementation that is also compatible with Kafka APIs.\"",[48,74,75],{},[36,76,77],{},"— The Forrester Wave™: Streaming Data Platforms, Q4 2025",[48,79,80],{},"Being recognized in the Forrester Wave is a proud milestone, and for us, it highlights how far StreamNative has come in enabling enterprises to unlock the power of real-time data. In the sections below, we'll dive into what we believe sets StreamNative apart—from our modern architecture and cloud-native design to our open-source foundation and real-time use cases—and how we see these strengths aligning with Forrester's findings.",[40,82,84],{"id":83},"trusted-by-industry-leaders",[44,85,86],{},"Trusted by Industry Leaders",[48,88,89,90,93,94,97,98,101],{},"Companies across industries are already leveraging StreamNative to drive real-time outcomes. Global enterprises like ",[44,91,92],{},"Cisco"," rely on StreamNative to handle massive IoT telemetry, supporting 245 million+ connected devices. Martech leaders such as ",[44,95,96],{},"Iterable"," process billions of events per day with StreamNative for hyper-personalized customer engagement. And in financial services, ",[44,99,100],{},"FICO"," trusts StreamNative to power its real-time fraud detection and analytics pipelines with a secure, scalable streaming backbone.",[48,103,104,105,108],{},"The Forrester report notes that, “",[36,106,107],{},"Customers appreciate the lower infrastructure costs that result from StreamNative’s cost-efficient, Kafka-compatible architecture. Customers note excellent support responsiveness…","”",[40,110,112],{"id":111},"modern-cloud-native-architecture-built-for-scale",[44,113,114],{},"Modern, Cloud-Native Architecture Built for Scale",[48,116,117],{},"From day one, StreamNative was designed with a modern architecture to meet the demanding scale and flexibility requirements of real-time data. Unlike legacy streaming systems that often rely on tightly coupled storage and compute, StreamNative's platform takes a cloud-native approach: it decouples these layers to enable elastic scalability and efficient resource utilization across any environment. The core is powered by Apache Pulsar—a distributed messaging and streaming engine—enhanced with multi-protocol support (including native Apache Kafka API compatibility) to unify diverse data streams under one roof. This means organizations can consolidate siloed messaging systems and handle both high-volume event streams and traditional message queues on a single platform, without sacrificing performance or reliability.",[48,119,120,121,108],{},"Forrester's evaluation described that “",[36,122,123],{},"StreamNative aims to provide a high-performance, multi-protocol streaming data platform: It uses Apache Pulsar with Kafka API compatibility to deliver cost-efficient, real-time applications for enterprises. It appeals to organizations that want a flexible, low-cost streaming solution, due to its focus on scalability and resource optimization, while its investments in Pulsar’s open-source ecosystem and performance optimization make it the primary platform for enterprises wishing to implement Pulsar.",[48,125,126],{},"Our cloud-first, leaderless architecture (with no single broker bottlenecks) and tiered storage model were built to maximize throughput and cost-efficiency for real-time workloads. By separating compute from storage and leveraging distributed object storage, StreamNative can retain huge volumes of event data indefinitely while keeping compute costs in check—effectively providing a flexible, low-cost streaming solution.",[48,128,129,130,133],{},"This modern design not only delivers high performance, but also ensures fault tolerance and geo-distribution out of the box, so enterprises can trust their streaming data is always available and durable. As Forrester’s evaluation noted, StreamNative ",[36,131,132],{},"\"excels at messaging and resource optimization\" and “Its platform supports use cases like real-time analytics and event-driven architectures with robust scalability.","” Our architecture provides the strong foundation that today's real-time applications demand, from ultra-fast data ingestion to seamless scale-out across hybrid and multi-cloud environments.",[40,135,137],{"id":136},"open-source-foundation-and-pulsar-expertise",[44,138,139],{},"Open Source Foundation and Pulsar Expertise",[48,141,142],{},"StreamNative's DNA is rooted in open source innovation. Our founders are the original creators of Apache Pulsar, and we've built our platform with the same open principles: freedom, flexibility, and community-driven innovation. For developers and data teams, this means adopting StreamNative comes with no proprietary lock-in—instead, you get a platform built on open standards and a thriving ecosystem. We offer broad API compatibility (Pulsar, Kafka, JMS, MQTT, and more) so that teams can work with familiar interfaces and integrate StreamNative into existing systems with ease.",[48,144,145],{},"StreamNative is the primary commercial contributor to the Apache Pulsar project and its surrounding ecosystem. We invest heavily in Pulsar's ongoing improvements our investments in Pulsar's open-source ecosystem and performance optimization bolster StreamNative's value. We also foster a vibrant community through initiatives like the Data Streaming Summit and free training resources.",[48,147,148,149,152,153,156],{},"Forrester's assessment noted that StreamNative’s “",[36,150,151],{},"events-driven agents, extensibility, and performance architecture are solid,","” and we're continuing to build on that foundation. ",[44,154,155],{},"We're actively investing in expanding our tooling for observability, governance, schema management, and developer productivity","—areas we recognize as critical for enterprise adoption and where we're committed to accelerating our roadmap.",[48,158,159,160],{},"Being open also means embracing an open ecosystem of technologies. StreamNative actively integrates with the tools and platforms that matter most to our users. We partner with industry leaders like Snowflake, Databricks, Google, and Ververica to ensure our streaming platform works seamlessly with data warehouses, lakehouse storage, and stream processing frameworks. Forrester’s evaluation observed that StreamNative’s ",[36,161,162],{},"\"investments in Pulsar’s open-source ecosystem and performance optimization make it the primary platform for enterprises wishing to implement Pulsar.\"",[40,164,166],{"id":165},"powering-real-time-use-cases-across-industries",[44,167,168],{},"Powering Real-Time Use Cases Across Industries",[48,170,171],{},"One of the greatest validations of StreamNative's approach is the success our customers are achieving with real-time data. StreamNative's platform is versatile and use-case agnostic—if an application demands high-volume, low-latency data movement, we can power it. This flexibility is why our customer base spans industries from finance and IoT to major automobile manufacturers and online gaming. The common thread is that these organizations need to process and react to data in milliseconds, and StreamNative is delivering the capabilities to make that possible.",[48,173,174],{},"Cisco uses StreamNative to underpin an IoT telemetry system of colossal scale, connecting hundreds of millions of devices and thousands of enterprise clients with real-time data streams. The platform's multi-tenant design and proven reliability allow Cisco to offer its customers a live feed of device data with unwavering confidence. In the financial sector, FICO has built streaming pipelines on StreamNative to detect fraud as transactions happen and to monitor systems in real time. With StreamNative's strong guarantees around message durability and ordering, FICO can catch anomalies or suspicious patterns within seconds. And in digital customer engagement, Iterable relies on StreamNative to process billions of events every day—clicks, views, purchases—so that marketers can trigger personalized campaigns instantly based on user behavior.",[48,176,177],{},"Our customers uniformly deal with mission-critical data streams, where downtime or delays are unacceptable. StreamNative's fault-tolerant, scalable infrastructure has proven equal to the task, handling scenarios like bursting to millions of events per second or seamlessly spanning multiple cloud regions. Forrester's report recognized StreamNative for supporting event-driven architectures with robust scalability—which for us is a reflection of our platform's ability to meet the most demanding enterprise requirements.",[40,179,181],{"id":180},"continuing-to-innovate-ursa-orca-and-the-road-ahead",[44,182,183],{},"Continuing to Innovate: Ursa, Orca, and the Road Ahead",[48,185,186,187,190],{},"While we are thrilled to be recognized in Forrester's Streaming Data Platforms Wave, we view this as just the beginning. StreamNative's vision has always been bold: to ",[44,188,189],{},"provide a unified platform that not only handles today's streaming needs but also anticipates the emerging requirements of tomorrow",".",[48,192,193],{},"One key area of focus is the convergence of streaming data with advanced analytics and AI. As Forrester points out in the report, technology leaders should look for platforms that natively integrate messaging, stream processing, and analytics to provide AI agents with real-time, contextualized information. We couldn't agree more. Our award-winning Ursa Engine and Orca Agent Engine are aimed at extending our platform up the stack—bridging the gap between data streams and data lakes, and between event streams and intelligent processing.",[48,195,196],{},"Our new Ursa Engine introduces a lakehouse-native approach to streaming: it can write events directly to table formats like Iceberg on cloud storage, eliminating entire classes of ETL jobs and making fresh data instantly available for analytics queries. By integrating streaming and lakehouse technologies, we help customers collapse data silos and accelerate their AI\u002FML pipelines.",[48,198,199,200,203],{},"Beyond analytics integration, we are also enhancing StreamNative with more out-of-the-box processing and governance capabilities. In the coming months, we plan to introduce new features for lightweight stream processing and transformation, making it easier to build reactive applications directly on the platform. We're also expanding our ecosystem of connectors and integrations, so that whether your data lands in Snowflake, Databricks, or an AI model, StreamNative will seamlessly feed it. ",[44,201,202],{},"We're investing significantly in enterprise features including security, schema registry, governance, and monitoring tooling","—capabilities that are essential for mission-critical deployments and where we're committed to continued improvement.",[48,205,206],{},"This recognition from Forrester energizes us to keep innovating at full speed. We're sharing this honor with our amazing customers, community, and partners who drive us forward every day. Your feedback and real-world challenges have helped shape StreamNative into what it is today, and together, we will shape the future of streaming data. Thank you for joining us on this journey—we're just getting started, and we can't wait to deliver even more value as we continue to evolve our platform. Onward to real-time everything!",[208,209],"hr",{},[32,211,213],{"id":212},"streamnative-in-the-forrester-wave-evaluation-findings",[44,214,215,216,223],{},"StreamNative in ",[44,217,218],{},[55,219,220],{"href":57},[44,221,222],{},"The Forrester Wave™",": Evaluation Findings",[225,226,228],"h5",{"id":227},"recognized-as-a-contender-among-15-streaming-data-platform-providers","• Recognized as a Contender among 15 streaming data platform providers",[225,230,232],{"id":231},"received-the-highest-scores-possible-50-in-both-the-messaging-and-resource-optimization-criteria","* Received the highest scores possible (5.0) in both the Messaging and Resource Optimization criteria",[225,234,236],{"id":235},"cited-as-the-primary-platform-for-enterprises-wishing-to-implement-pulsar","• Cited as the primary platform for enterprises wishing to implement Pulsar",[225,238,240],{"id":239},"noted-for-excelling-at-messaging-and-resource-optimization","• Noted for excelling at messaging and resource optimization",[225,242,244],{"id":243},"customers-cited-lower-infrastructure-costs-and-excellent-support-responsiveness","• Customers cited lower infrastructure costs and excellent support responsiveness",[225,246,248],{"id":247},"recognized-for-supporting-event-driven-architectures-with-robust-scalability","• Recognized for supporting event-driven architectures with robust scalability",[208,250],{},[252,253,255,256,259,260,190],"h6",{"id":254},"forrester-disclaimer-forrester-does-not-endorse-any-company-product-brand-or-service-included-in-its-research-publications-and-does-not-advise-any-person-to-select-the-products-or-services-of-any-company-or-brand-based-on-the-ratings-included-in-such-publications-information-is-based-on-the-best-available-resources-opinions-reflect-judgment-at-the-time-and-are-subject-to-change-for-more-information-read-about-forresters-objectivity-here","**Forrester Disclaimer: **",[36,257,258],{},"Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change",". *For more information, read about Forrester’s objectivity *",[55,261,265],{"href":262,"rel":263},"https:\u002F\u002Fwww.forrester.com\u002Fabout-us\u002Fobjectivity\u002F",[264],"nofollow",[36,266,267],{},"here",[208,269],{},[252,271,273],{"id":272},"apache-apache-pulsar-apache-kafka-apache-flink-and-other-names-are-trademarks-of-the-apache-software-foundation-no-endorsement-by-apache-or-other-third-parties-is-implied",[36,274,275],{},"Apache®, Apache Pulsar®, Apache Kafka®, Apache Flink® and other names are trademarks of The Apache Software Foundation. No endorsement by Apache or other third parties is implied.",{"title":18,"searchDepth":19,"depth":19,"links":277},[278,280,281,282,283,284,285],{"id":34,"depth":279,"text":38},3,{"id":42,"depth":19,"text":46},{"id":83,"depth":19,"text":86},{"id":111,"depth":19,"text":114},{"id":136,"depth":19,"text":139},{"id":165,"depth":19,"text":168},{"id":180,"depth":19,"text":183,"children":286},[287],{"id":212,"depth":279,"text":288},"StreamNative in The Forrester Wave™: Evaluation Findings","Company",null,"2025-12-16","StreamNative is recognized in The Forrester Wave™: Streaming Data Platforms, Q4 2025. Discover why Forrester highlights StreamNative's high-performance messaging, efficient resource use, and cost-effective Kafka API compatibility for real-time innovation.","\u002Fimgs\u002Fblogs\u002F693bd36cf01b217dcb67278f_Streamnative_blog_thumbnail.png",false,{},0,"\u002Fblog\u002Fstreamnative-recognized-in-the-forrester-wave-streaming-data-platforms-2025","10 mins read",{"title":26,"description":292},"blog\u002Fstreamnative-recognized-in-the-forrester-wave-streaming-data-platforms-2025",[302,303,304],"Announcements","Real-Time","Forrester","sOeeJtEO3O-IIfTPJjY1AFOMawZ_rf8FOH8A98NEKgU",{"id":307,"title":308,"authors":309,"body":314,"category":1073,"createdAt":290,"date":1074,"description":1075,"extension":8,"featured":7,"image":1076,"isDraft":294,"link":290,"meta":1077,"navigation":7,"order":296,"path":1078,"readingTime":1079,"relatedResources":290,"seo":1080,"stem":1081,"tags":1082,"__hash__":1085},"blogs\u002Fblog\u002Fhow-we-run-a-5-gb-s-kafka-workload-for-just-50-per-hour.md","How We Run a 5 GB\u002Fs Kafka Workload for Just $50 per Hour",[310,311,312,313],"Matteo Meril","Neng Lu","Hang Chen","Penghui Li",{"type":15,"value":315,"toc":1043},[316,319,322,325,328,331,335,338,348,354,357,365,370,374,381,384,387,395,399,402,407,411,414,417,420,423,432,436,439,450,453,457,460,463,474,477,481,485,493,496,500,508,537,541,544,549,553,556,560,563,566,571,580,585,588,591,602,606,609,620,624,627,630,635,638,667,671,673,679,682,687,692,695,699,713,717,728,732,747,756,767,770,773,777,780,783,794,797,800,803,808,813,817,821,838,842,856,861,865,876,879,895,899,910,915,920,928,932,935,939,946,950,953,962,967,976,982,991,1000,1009,1018,1027,1035],[48,317,318],{},"The rise of DeepSeek has shaken the AI infrastructure market, forcing companies to confront the escalating costs of training and deploying AI models. But the real pressure point isn’t just compute—it’s data acquisition and ingestion costs.",[48,320,321],{},"As businesses rethink their AI cost-containment strategies, real-time data streaming is emerging as a critical enabler. The growing adoption of Kafka as a standard protocol has expanded cost-efficient options, allowing companies to optimize streaming analytics while keeping expenses in check.",[48,323,324],{},"Ursa, the data streaming engine powering StreamNative’s managed Kafka service, is built for this new reality. With its leaderless architecture and native lakehouse storage integration, Ursa eliminates costly inter-zone network traffic for data replication and client-to-broker communication while ensuring high availability at minimal operational cost.",[48,326,327],{},"In this blog post, we benchmarked the infrastructure cost and total cost of ownership (TCO) for running a 5GB\u002Fs Kafka workload across different Kafka vendors, including Redpanda, Confluent WarpStream, and AWS MSK. Our benchmark results show that Ursa can sustain 5GB\u002Fs Kafka workloads at just 5% of the cost of traditional streaming engines like Redpanda—making it the ideal solution for high-performance, cost-efficient ingestion and data streaming for data lakehouses and AI workloads.",[48,329,330],{},"Note: We also evaluated vanilla Kafka in our benchmark; however, for simplicity, we have focused our cost comparison on vendor solutions rather than self-managed deployments. That said, it is important to highlight that both Redpanda and vanilla Kafka use a leader-based data replication approach. In a data-intensive, network-bound workload like 5GB\u002Fs streaming, with the same machine type and replication factor, Redpanda and vanilla Kafka produced nearly identical cost profiles.",[40,332,334],{"id":333},"key-benchmark-findings","Key Benchmark Findings",[48,336,337],{},"Ursa delivered 5 GB\u002Fs of sustained throughput at an infrastructure cost of just $54 per hour. For comparison:",[339,340,341,345],"ul",{},[342,343,344],"li",{},"MSK: $303 per hour → 5.6x more expensive compared to Ursa",[342,346,347],{},"Redpanda: $988 per hour → 18x more expensive compared to Ursa",[48,349,350],{},[351,352],"img",{"alt":18,"src":353},"\u002Fimgs\u002Fblogs\u002F679c71b67d9046f26edc7977_AD_4nXfvTqyBNUBu2lObdkKAx-5UNkpNP8UYULLZyOcixE6z99VMZUUEsUqWjzexI7vjyNGRNSAUoM9smYvdTP55ctAhIbrs5lmQgcSVMWdaoigbWouCl95DVSQsxooY-qqfGcYqS4g4zA.png",[48,355,356],{},"Beyond infrastructure costs, when factoring in both storage pricing, vendor pricing and operational expenses, Ursa’s total cost of ownership (TCO) for a 5GB\u002Fs workload with a 7-day retention period is:",[339,358,359,362],{},[342,360,361],{},"50% cheaper than Confluent WarpStream",[342,363,364],{},"85% cheaper than MSK and Redpanda",[48,366,367],{},[351,368],{"alt":18,"src":369},"\u002Fimgs\u002Fblogs\u002F679c602d77e9c706de5343b8_AD_4nXeDv8rrv_C1CTCCiqYo1zpvlGYbdBk1r0VEqovAPu22iFMQZgh54Hfw9PBMLzM7jDFxKwAFDxbdG0np4XVk_tGsWhEKMloLRcmmea7lvueCx-0cFsyaE3Mya4Mxc1Dox95A6JEc.png",[40,371,373],{"id":372},"ursa-highly-cost-efficient-data-streaming-at-scale","Ursa: Highly Cost-Efficient Data Streaming at Scale",[48,375,376,380],{},[55,377,379],{"href":378},"\u002Fblog\u002Fursa-reimagine-apache-kafka-for-the-cost-conscious-data-streaming","Ursa"," is a next-generation data streaming engine designed to deliver high performance at a fraction of the cost of traditional disk-based solutions. It is fully compatible with Apache Kafka and Apache Pulsar APIs, while leveraging a leaderless, lakehouse-native architecture to maximize scalability, efficiency, and cost savings.",[48,382,383],{},"Ursa’s key innovation is separating storage from compute and decoupling metadata\u002Findex operations from data operations by utilizing cloud object storage (e.g., AWS S3) instead of costly inter-zone disk-based replication. It also employs open lakehouse formats (Iceberg and Delta Lake), enabling columnar compression to significantly reduce storage costs while maintaining durability and availability.",[48,385,386],{},"In contrast, traditional streaming systems—like Kafka and Redpanda—depend on leader-based architectures, which drive up inter-zone traffic costs due to replication and client communication. Ursa mitigates these costs by:",[339,388,389,392],{},[342,390,391],{},"Eliminating inter-zone traffic costs via a leaderless architecture.",[342,393,394],{},"Replacing costly inter-zone replication with direct writes to cloud storage using open lakehouse formats.",[40,396,398],{"id":397},"how-ursa-eliminates-inter-zone-traffic","How Ursa Eliminates Inter-Zone Traffic",[48,400,401],{},"Ursa minimizes inter-zone traffic by leveraging a leaderless architecture, which eliminates inter-zone communication between clients and brokers, and lakehouse-native storage, which removes the need for inter-zone data replication. This approach ensures high availability and scalability while avoiding unnecessary cross-zone data movement.",[48,403,404],{},[351,405],{"alt":18,"src":406},"\u002Fimgs\u002Fblogs\u002F679c602e21b3571bb7117dca_AD_4nXd7Oahc77NjRLNvA9clLt0tsyU6MrIqVibFYv5pW5giTIcCHPr3EA_yTGzfVEUIVO3VXK56qWK8zmBCp5lY0E_4nmlWIPFrHjtHylA5NhwELjn-UB0fLG2h_kbrxrc7Cs_edvveNA.png",[32,408,410],{"id":409},"leaderless-architecture","Leaderless architecture",[48,412,413],{},"Traditional streaming engines such as Kafka, Pulsar, or RedPanda rely on a leader-based model, where each partition is assigned to a single leader broker that handles all writes and reads.",[48,415,416],{},"Pros of Leader-Based Architectures:\n✔ Maintains message ordering via local sequence IDs\n✔ Delivers low latency and high performance through message caching",[48,418,419],{},"Cons of Leader-Based Architectures:\n✖ Throughput bottlenecked by a single broker per partition\n✖ Inter-zone traffic required for high availability in multi-AZ deployments",[48,421,422],{},"While Kafka and Pulsar offer partial solutions (e.g., reading from followers, shadow topics) to reduce read-related inter-zone traffic, producers still send data to a single leader.",[48,424,425,426,431],{},"Ursa removes the concept of topic ownership, allowing any broker in the cluster to handle reads or writes for any partition. The primary challenge—ensuring message ordering—is solved with ",[55,427,430],{"href":428,"rel":429},"https:\u002F\u002Fgithub.com\u002Fstreamnative\u002Foxia",[264],"Oxia",", a scalable metadata and index service created by StreamNative in 2022.",[32,433,435],{"id":434},"oxia-the-metadata-layer-enabling-leaderless-architecture","Oxia: The Metadata Layer Enabling Leaderless Architecture",[48,437,438],{},"Ensuring message ordering in a leaderless architecture is complex, but Ursa solves this with Oxia:",[339,440,441,444,447],{},[342,442,443],{},"Handles millions of metadata\u002Findex operations per second",[342,445,446],{},"Generates sequential IDs to maintain strict message ordering",[342,448,449],{},"Optimized for Kubernetes with horizontal scalability",[48,451,452],{},"Producers and consumers can connect to any broker within their local AZ, eliminating inter-zone traffic costs while maintaining performance through localized caching.",[32,454,456],{"id":455},"zero-interzone-data-replication","Zero interzone data replication",[48,458,459],{},"In most distributed systems, data replication from a leader (primary) to followers (replicas) is crucial for fault tolerance and availability. However, replication across zones can inflate infrastructure expenses substantially.",[48,461,462],{},"Ursa avoids these costs by writing data directly to cloud storage (e.g., AWS S3, Google GCS):",[339,464,465,468,471],{},[342,466,467],{},"Built-In Resilience: Cloud storage inherently offers high availability and fault tolerance without inter-zone traffic fees.",[342,469,470],{},"Tradeoff: Slightly higher latency (sub-second, with p99 at 500 milliseconds) compared to local disk\u002FEBS (single-digit to sub-100 milliseconds), in exchange for significantly lower costs (up to 10x lower).",[342,472,473],{},"Flexible Modes: Ursa is an addition to the classic BookKeeper-based engine, providing users with the flexibility to optimize for either cost or low latency based on their workload requirements.",[48,475,476],{},"By foregoing conventional replication, Ursa slashes inter-zone traffic costs and associated complexities—making it a compelling option for organizations seeking to balance high-performance data streaming with strict budget constraints.",[40,478,480],{"id":479},"how-we-ran-a-5-gbs-test-with-ursa","How We Ran a 5 GB\u002Fs Test with Ursa",[32,482,484],{"id":483},"ursa-cluster-deployment","Ursa Cluster Deployment",[339,486,487,490],{},[342,488,489],{},"9 brokers across 3 availability zones, each on m6i.8xlarge (Fixed 12.5 Gbps bandwidth, 32 vCPU cores, 128 GB memory).",[342,491,492],{},"Oxia cluster (metadata store) with 3 nodes of m6i.8xlarge, distributed across three availability zones (AZs).",[48,494,495],{},"During peak throughput (5 GB\u002Fs), each broker’s network usage was about 10 Gbps.",[32,497,499],{"id":498},"openmessaging-benchmark-workers-configuration","OpenMessaging Benchmark Workers & Configuration",[48,501,502,503,507],{},"The OpenMessaging Benchmark(OMB) Framework is a suite of tools that make it easy to benchmark distributed messaging systems in the cloud. Please check ",[55,504,505],{"href":505,"rel":506},"https:\u002F\u002Fopenmessaging.cloud\u002Fdocs\u002Fbenchmarks\u002F",[264]," for details.",[339,509,510,525,534],{},[342,511,512,513,518,519,524],{},"12 OMB workers: 6 for ",[55,514,517],{"href":515,"rel":516},"https:\u002F\u002Fgist.github.com\u002Fcodelipenghui\u002Fd1094122270775e4f1580947f80c5055",[264],"producers",", 6 for ",[55,520,523],{"href":521,"rel":522},"https:\u002F\u002Fgist.github.com\u002Fcodelipenghui\u002F06bada89381fb77a7862e1b4c1d8963d",[264],"consumers"," across 3 availability zones, on m6i.8xlarge instances. Each worker is configured with 12 CPU cores and 48 GB memory.",[342,526,527,528,533],{},"Sample YAML ",[55,529,532],{"href":530,"rel":531},"https:\u002F\u002Fgist.github.com\u002Fcodelipenghui\u002F204c1f26c4d44a218ae235bf2de99904",[264],"scripts"," provided for Kafka-compatible configuration and rate limits.",[342,535,536],{},"Achieved consistent 5 GB\u002Fs publish\u002Fsubscribe throughput.",[40,538,540],{"id":539},"ursa-benchmark-tests-results","Ursa Benchmark Tests & Results",[48,542,543],{},"The following diagram demonstrates that Ursa can consistently handle 5 GB\u002Fs of traffic, fully saturating the network across all broker nodes.",[48,545,546],{},[351,547],{"alt":18,"src":548},"\u002Fimgs\u002Fblogs\u002F679c602d7b261bac1113f7d6_AD_4nXdDPsRc3koXICiFF0bqSmGWbJt_RlUy4FE3ruuWOfbCfpcqZ1dejjqGbkaCJv2hQFL1nirRouBVRW2l5uMWBvY9naMqGB_wHcLI14dBM0f85TXhmdm3UxEv1yGX9Y4hf5FttSkZew.png",[40,550,552],{"id":551},"comparing-infrastructure-cost","Comparing Infrastructure Cost",[48,554,555],{},"This benchmark first evaluates infrastructure costs of running a 5 GB\u002Fs streaming workload (1:1 producer-to-consumer ratio) across different data streaming engines, including Ursa, Redpanda, and AWS MSK, with a focus on multi-AZ deployments to ensure a fair comparison.",[32,557,559],{"id":558},"test-setup-key-assumptions","Test Setup & Key Assumptions",[48,561,562],{},"All tests use multi-AZ configurations, with clusters and clients distributed across three AWS availability zones (AZs). Cluster size scales proportionally to the number of AZs, and rack-awareness is enabled for all engines to evenly distribute topic partitions and leaders.",[48,564,565],{},"To ensure a fair comparison, we selected the same machine type capable of fully utilizing both network and storage bandwidth for Ursa and Redpanda in this 5GB\u002Fs test:",[339,567,568],{},[342,569,570],{},"9 × m6i.8xlarge instances",[48,572,573,574,579],{},"However, MSK's storage bandwidth limits vary depending on the selected instance type, with the highest allowed limit capped at 1000 MiB\u002Fs per broker, according to",[55,575,578],{"href":576,"rel":577},"https:\u002F\u002Fdocs.aws.amazon.com\u002Fmsk\u002Flatest\u002Fdeveloperguide\u002Fmsk-provision-throughput-management.html#throughput-bottlenecks",[264]," AWS documentation",". Given this constraint, achieving 5 GB\u002Fs throughput with a replication factor of 3 required the following setup:",[339,581,582],{},[342,583,584],{},"15 × kafka.m7g.8xlarge (32 vCPUs, 128 GB memory, 15 Gbps network, 4000 GiB EBS).",[48,586,587],{},"This configuration was necessary to work around MSK's storage bandwidth limitations, ensuring a comparable cost basis to other evaluated streaming engines.",[48,589,590],{},"Additional key assumptions include:",[339,592,593,596,599],{},[342,594,595],{},"Inter-AZ producer traffic: For leader-based engines, two-thirds of producer-to-broker traffic crosses AZs due to leader distribution.",[342,597,598],{},"Consumer optimizations: Follower fetch is enabled across all tests, eliminating inter-AZ consumer traffic.",[342,600,601],{},"Storage cost exclusions: This benchmark only evaluates streaming costs, assuming no long-term data retention.",[32,603,605],{"id":604},"inter-broker-replication-costs","Inter-Broker Replication Costs",[48,607,608],{},"Inter-broker (cross-AZ) replication is a major cost driver for data streaming engines:",[339,610,611,614,617],{},[342,612,613],{},"RedPanda: Inter-broker replication is not free, leading to substantial costs when data must be copied across multiple availability zones.",[342,615,616],{},"AWS MSK: Inter-broker replication is free, but MSK instance pricing is significantly higher (e.g., $3.264 per hour for kafka.m7g.8xlarge vs $1.306 per hour for an on-demand m7g.8xlarge). The storage price of MSK is $0.10 per GB-month which is significantly higher than st1, which costs $0.045 per GB-month. Even though replication is free, client-to-broker traffic still incurs inter-AZ charges.",[342,618,619],{},"Ursa: No inter-broker replication costs due to its leaderless architecture, eliminating inter-zone replication costs entirely.",[32,621,623],{"id":622},"zone-affinity-reducing-inter-az-costs","Zone Affinity: Reducing Inter-AZ Costs",[48,625,626],{},"We evaluated zone affinity mechanisms to further reduce inter-AZ data transfer costs.",[48,628,629],{},"Consumers:",[339,631,632],{},[342,633,634],{},"Follower fetch is enabled across all tests, ensuring consumers fetch data from replicas in their local AZ—eliminating inter-zone consumer traffic except for metadata lookups",[48,636,637],{},"Producers:",[339,639,640,649,658],{},[342,641,642,643,648],{},"Kafka protocol lacks an easy way to enforce producer AZ affinity (though ",[55,644,647],{"href":645,"rel":646},"https:\u002F\u002Fcwiki.apache.org\u002Fconfluence\u002Fdisplay\u002FKAFKA\u002FKIP-1123:+Rack-aware+partitioning+for+Kafka+Producer",[264],"KIP-1123"," aims to address this). And it only works with the default partitioner (i.e., when no record partition or record key is specified).",[342,650,651,652,657],{},"Redpanda recently introduced ",[55,653,656],{"href":654,"rel":655},"https:\u002F\u002Fdocs.redpanda.com\u002Fredpanda-cloud\u002Fdevelop\u002Fproduce-data\u002Fleader-pinning\u002F",[264],"leader pinning",", but this only benefits setups where producers are confined to a single AZ—not applicable to our multi-AZ benchmark.",[342,659,660,661,666],{},"Ursa is the only system in this test with ",[55,662,665],{"href":663,"rel":664},"https:\u002F\u002Fdocs.streamnative.io\u002Fdocs\u002Fconfig-kafka-client#eliminate-cross-az-networking-traffic",[264],"built-in zone affinity for both producers and consumers",". It achieves this by embedding producer AZ information in client.id, allowing metadata lookups to route clients to local-AZ brokers, eliminating inter-AZ producer traffic.",[32,668,670],{"id":669},"cost-comparison-results","Cost Comparison Results",[48,672,337],{},[339,674,675,677],{},[342,676,344],{},[342,678,347],{},[48,680,681],{},"Ursa’s leaderless architecture, zone affinity, and native cloud storage integration deliver unparalleled cost efficiency, making it the most cost-effective choice for high-throughput data streaming workloads.",[48,683,684],{},[351,685],{"alt":18,"src":686},"\u002Fimgs\u002Fblogs\u002F679c72208198ca36a352f228_AD_4nXeeZuM8T-xBlD4Vf3j67K618n08qh8wIDLLtiLJG0ssA1Wj1V26u7wIDTX9sqLrtw8mB2c299dwzarGen62CG0Vh7nWstn5qbPGFcBaKJYEepTsLr5fHWv1U8uqbg8Y0UOK6fJ7.png",[48,688,689],{},[351,690],{"alt":18,"src":691},"\u002Fimgs\u002Fblogs\u002F679c625978031f40229de484_AD_4nXdLkLLJ30KKr-_A_rN1j8akVwBYacAWIPzWHoOReJF421890kfByZoQQxkLczihVSmiw5Q9J51-V9I2SEKITbwsYnANDDTlAVL5nQ_jfaHNTe9VEWhSoa7DZooCnilDYL6l6msmJg.png",[48,693,694],{},"The detailed infrastructure cost calculations for each data streaming engine are listed below:",[32,696,698],{"id":697},"streamnative-ursa","StreamNative - Ursa",[339,700,701,704,707,710],{},[342,702,703],{},"Server EC2 costs: 9 * $1.536\u002Fhr = $14",[342,705,706],{},"Client EC2 costs: 9 * $1.536\u002Fhr =$14",[342,708,709],{},"S3 write requests costs: 1350 r\u002Fs * $0.005\u002F1000r * 3600s = $24",[342,711,712],{},"S3 read requests costs: 1350 r\u002Fs * $0.0004\u002F1000r * 3600s = $2",[32,714,716],{"id":715},"aws-msk","AWS MSK",[339,718,719,722,725],{},[342,720,721],{},"Server EC2 costs: 15 * $3.264\u002Fhr = $49",[342,723,724],{},"Client side EC2 costs: 9 * $1.536\u002Fhr =$14",[342,726,727],{},"Interzone traffic - producer to broker: 5GB\u002Fs * ⅔ * $0.02\u002FG(in+out) * 3600 = $240",[32,729,731],{"id":730},"redpanda","RedPanda",[339,733,734,736,738,741,744],{},[342,735,703],{},[342,737,706],{},[342,739,740],{},"Interzone traffic - producer to broker: 5GB\u002Fs * ⅔ * $0.02\u002FGB(in+out) * 3600 = $240",[342,742,743],{},"Interzone traffic - replication: 10GB\u002Fs * $0.02\u002FGB(in+out) * 3600 = $720",[342,745,746],{},"Interzone traffic - broker to consumer: $0 (fetch from local zone)",[48,748,749,750,755],{},"Please note that we were unable to test ",[55,751,754],{"href":752,"rel":753},"https:\u002F\u002Fwww.redpanda.com\u002Fblog\u002Fcloud-topics-streaming-data-object-storage",[264],"Redpanda with Cloud Topics",", as it remains an announced but unreleased feature and is not yet available for evaluation. Based on the limited information available, while Cloud Topics may help optimize inter-zone data replication costs, producers still need to traverse inter-availability zones to connect to the topic partition owners and incur inter-zone traffic costs of up to $240 per hour.",[339,757,758,764],{},[342,759,760,763],{},[55,761,647],{"href":645,"rel":762},[264]," (when implemented) will help mitigate producer-to-broker inter-zone traffic, but it is not yet available. And it only works with the default partitioner (no record partition or key is specified).",[342,765,766],{},"Redpanda’s leader pinning helps only when all producers for the pinned topic are confined to a single AZ. In multi-AZ environments (like our benchmark), inter-zone producer traffic remains unavoidable.",[48,768,769],{},"Additionally, Redpanda’s Cloud Topics architecture is not documented publicly. Their blog mentions \"leader placement rules to optimize produce latency and ingress cost,\" but it is unclear whether this represents a shift away from a leader-based architecture or if it uses techniques similar to Ursa’s zone-aware approach.",[48,771,772],{},"We may revisit this comparison as more details become available.",[40,774,776],{"id":775},"comparing-total-cost-of-ownership","Comparing Total Cost of Ownership",[48,778,779],{},"As highlighted earlier, with a BYOC Ursa setup, you can achieve 5 GB\u002Fs throughput at just 5% of the infrastructure cost of a traditional leader-based data streaming engine, such as Kafka or RedPanda, while managing the infrastructure yourself. This significant cost reduction is enabled by Ursa’s leaderless architecture and lakehouse-native storage design, which eliminate overhead costs such as inter-zone traffic and leader-based data replication. By leveraging a lakehouse-native, leaderless architecture, Ursa reduces resource requirements, enabling you to handle high data throughput efficiently and at a fraction of the cost of RedPanda.",[48,781,782],{},"Now, let’s examine the total cost comparison, evaluating Ursa alongside other vendors, including those that have adopted a leaderless architecture (e.g., Confluent WarpStream). This comparison is based on a 5GB\u002Fs workload with a 7-day retention period, factoring in both storage cost and vendor costs Here are the key findings:",[339,784,785,788,791],{},[342,786,787],{},"Ursa ($164,353\u002Fmonth) is: 50% cheaper than Confluent WarpStream ($337,068\u002Fmonth)",[342,789,790],{},"85% cheaper than AWS MSK ($1,115,251\u002Fmonth)",[342,792,793],{},"86% cheaper than Redpanda ($1,202,853\u002Fmonth)",[48,795,796],{},"In addition to Ursa’s architectural advantages—eliminating most inter-AZ traffic and leveraging lakehouse storage for cost-effective data retention—it also adopts a more fair and cost-efficient pricing model: Elastic Throughput-based pricing. This approach aligns costs with actual usage, avoiding unnecessary overhead.",[48,798,799],{},"Unlike WarpStream, which charges for both storage and throughput, Ursa ensures that customers only pay for the throughput they actively use. Ursa’s pricing is based on compressed data sent by clients, meaning the more data compressed on the client side, the lower the cost. In contrast, WarpStream prices are based on uncompressed data, unfairly inflating expenses and failing to incentivize customers to optimize their client applications.",[48,801,802],{},"This distinction is crucial, as compressed data reduces both storage and network costs, making Ursa’s pricing model not only more cost-effective but also more transparent and predictable.",[48,804,805],{},[351,806],{"alt":18,"src":807},"\u002Fimgs\u002Fblogs\u002F679c602d194800c9206d9d58_AD_4nXcFlf755xgyz7htxhMhBV5fGrsxy642mQNodt61DTok_z1dwkw5A6lkO5hatXVneCaB0anbZPAyvLI3MlIMuQEYLEACHHvQMOr5UfaB37dfzkdqewDEvcT-20VGd_zzvJsuA00zGA.png",[48,809,810],{},[351,811],{"alt":18,"src":812},"\u002Fimgs\u002Fblogs\u002F679c62594e9c2e629fae73aa_AD_4nXeU6cOgItnjLsEZCOf13TEvMY_SHWWIxYP2OYUj-B1GUPyWO78OG08K_v03hwYSVcg06f9dqDiGmdwy76vynjmiDGL5bluZ5_XF4nSU_r59oOZdfViXndXt6s11vVOY7qwfZN8v.png",[32,814,816],{"id":815},"cost-breakdown","Cost Breakdown",[818,819,820],"h4",{"id":697},"StreamNative – Ursa",[339,822,823,826,829,832,835],{},[342,824,825],{},"EC2 (Server): 9 × $1.536\u002Fhr × 24 hr × 30 days = $9,953.28",[342,827,828],{},"S3 Write Requests: 1,350 r\u002Fs × $0.005\u002F1,000 r × 3,600 s × 24 hr × 30 days = $17,496",[342,830,831],{},"S3 Read Requests: 1,350 r\u002Fs × $0.0004\u002F1,000 r × 3,600 s × 24 hr × 30 days = $1,400",[342,833,834],{},"S3 Storage Costs: 5 GB\u002Fs × $0.021\u002FGB × 3,600 s × 24 hr × 7 days = $63,504",[342,836,837],{},"Vendor Cost: 200 ETU × $0.50\u002Fhr × 24 hr × 30 days = $72,000",[818,839,841],{"id":840},"warpstream","WarpStream",[339,843,844,847],{},[342,845,846],{},"Based on WarpStream’s pricing calculator (as of January 29, 2025), we assume a 4:1 client data compression ratio, meaning 20 GB\u002Fs of uncompressed data translates to 5 GB\u002Fs of compressed data.",[342,848,849,850,855],{},"It's important to note that WarpStream’s pricing structure has fluctuated frequently throughout January. We observed the cost reported by their calculator changing from $409,644 per month to $337,068 per month. This variability has been previously highlighted in the blog post “",[55,851,854],{"href":852,"rel":853},"https:\u002F\u002Fbigdata.2minutestreaming.com\u002Fp\u002Fthe-brutal-truth-about-apache-kafka-cost-calculators",[264],"The Brutal Truth About Kafka Cost Calculators","”. To ensure transparency, we have documented the pricing as of January 29, 2025.",[48,857,858],{},[351,859],{"alt":18,"src":860},"\u002Fimgs\u002Fblogs\u002F679c602e42713e0028e9af5e_AD_4nXcu5_VWTLu9jRYs6zX1MBAOtLQEo5gyfNSWPcbpnQHXTa8qNCFAXezRR2E8daygzYTTwd4dhJjaLaLM8C6y_3OGbu2NS7pdvEv3a8-ptNKOg7AeKnYqPQCAYvQ5EuxzuI3JYIvY.png",[818,862,864],{"id":863},"msk","MSK",[339,866,867,870,873],{},[342,868,869],{},"EC2 (Server): 15 * $3.264\u002Fhr × 24 hr × 30 days = $35,251",[342,871,872],{},"Interzone Traffic (Client-Server): 5 GB\u002Fs × ⅔ × $0.02\u002FGB (in+out) × 3,600 s × 24 hr × 30 days = $172,800",[342,874,875],{},"Storage: 5 GB\u002Fs × $0.1\u002FGB-month × 3,600 s × 24 hr × 7 days * 3 replicas = $907,200",[818,877,731],{"id":878},"redpanda-1",[339,880,881,884,886,889,892],{},[342,882,883],{},"EC2 (Server): 9 × $1.536\u002Fhr × 24 hr × 30 days = $9953",[342,885,872],{},[342,887,888],{},"Interzone Traffic (Replication): 5 GB\u002Fs × 2 × $0.02\u002FGB (in+out) × 3,600 s × 24 hr × 30 days = $518,400",[342,890,891],{},"Storage: 5 GB\u002Fs × $0.045\u002FGB-month(st1) × 3,600 s × 24 hr × 7 days * 3 replicas = $408,240",[342,893,894],{},"Vendor Cost: $93,333 per month (based on limited information. See additional notes below).",[818,896,898],{"id":897},"additional-notes","Additional Notes",[339,900,901],{},[342,902,903,904,909],{},"Redpanda does not publicly disclose its BYOC pricing, making it difficult to accurately assess its total costs. We refer to information from the whitepaper “",[55,905,908],{"href":906,"rel":907},"https:\u002F\u002Fwww.redpanda.com\u002Fresources\u002Fredpanda-vs-confluent-performance-tco-benchmark-report#form",[264],"Redpanda vs. Confluent: A Performance and TCO Benchmark Report by McKnight Consulting Group.","” for estimation purposes. Based on the Tier-8 pricing model in the whitepaper,  the estimated cost to support a 5GB\u002Fs workload would be $1.12 million per year ($93,333 per month). However, since this calculation is based on an estimation, we will revisit and refine the cost assessment once Redpanda publishes its BYOC pricing.",[48,911,912],{},[351,913],{"alt":18,"src":914},"\u002Fimgs\u002Fblogs\u002F679c602dc8a9859eed89a0ef_AD_4nXdbcO8vsNNPy4GtkNLlmNKf22fjxRvzLzH7CtOna1L08sTbvnZx3HhufeFqc1w4K2gEF7lxO2IR5supotxebAiGnA07Qa8Yr3Rd1pVK2LYKK4WurlJGwgdwwucZIFoF-N_2oBjY.png",[48,916,917],{},[351,918],{"alt":18,"src":919},"\u002Fimgs\u002Fblogs\u002F679c602d6bc1c2287e012540_AD_4nXfcHZnLfjbjIr3ZAgoQXT9dwP3aQCOQPmGZZJUtpNZSwE6qY6M3yehIaBxCwxEIeu5PVdUPY0zhyjnow26YfgjdYgSG4GnV9ibxu0YWTIpwng6z_F6FUGJMpERMKtpsFESzXSN_Sw.png",[339,921,922,925],{},[342,923,924],{},"When estimating the storage costs for Kafka and Redpanda, we assume the use of HDD storage at $0.045\u002FGB, based on the premise that both systems can fully utilize disk bandwidth without incurring the higher costs associated with GP2 or GP3 volumes. However, in practice, many users opt for GP2 or GP3, significantly increasing the total storage cost for Kafka and Redpanda.",[342,926,927],{},"Unlike disk-based solutions, S3 storage does not require capacity preallocation—Ursa only incurs costs for the actual data stored. This contrasts with Kafka and Redpanda, where preallocating storage can drive up expenses. As a result, the real-world storage costs for Kafka and Redpanda are often 50% higher than the estimates above.",[40,929,931],{"id":930},"conclusion","Conclusion",[48,933,934],{},"Ursa represents a transformative shift in streaming data infrastructure, offering cost efficiency, scalability, and flexibility without compromising durability or reliability. By leveraging a leaderless architecture and eliminating inter-zone data replication, Ursa reduces total cost of ownership by over 90% compared to traditional leader-based streaming engines like Kafka and Redpanda. Its direct integration with cloud storage and scalable metadata & index management via Oxia ensure high availability and simplified infrastructure management.",[32,936,938],{"id":937},"balancing-latency-and-cost","Balancing Latency and Cost",[48,940,941,945],{},[55,942,944],{"href":943},"\u002Fblog\u002Fcap-theorem-for-data-streaming","Ursa trades off slightly higher latency for ultra low cost",", making it an ideal choice for the majority of streaming workloads, especially those that prioritize throughput and cost savings over ultra-low latency. Meanwhile, StreamNative’s BookKeeper-based engine remains the preferred solution for real-time, latency-sensitive applications. By combining these two approaches, StreamNative empowers customers with the flexibility to choose the right engine for their specific needs—whether it's maximizing cost savings or achieving ultra low-latency real-time performance.",[32,947,949],{"id":948},"the-future-of-streaming-infrastructure","The Future of Streaming Infrastructure",[48,951,952],{},"In an era where data fuels AI, analytics, and real-time decision-making, managing infrastructure costs is critical to sustaining innovation. Ursa is not just a cost-cutting alternative—it is a forward-thinking, lakehouse-native platform that redefines how modern data streaming infrastructure should be built and operated.",[48,954,955,956,961],{},"Whether your priority is reducing costs, improving flexibility, or ingesting massive data into lakehouses, Ursa delivers a future-proof solution for the evolving demands of real-time data streaming. ",[55,957,960],{"href":958,"rel":959},"https:\u002F\u002Fconsole.streamnative.cloud\u002F",[264],"Get started"," with StreamNative Ursa today!",[963,964,966],"h1",{"id":965},"references","References",[48,968,969,972,973],{},[970,971,430],"span",{}," ",[55,974,975],{"href":975},"\u002Fblog\u002Fintroducing-oxia-scalable-metadata-and-coordination",[48,977,978,972,980],{},[970,979,379],{},[55,981,378],{"href":378},[48,983,984,972,987],{},[970,985,986],{},"StreamNative pricing",[55,988,989],{"href":989,"rel":990},"https:\u002F\u002Fdocs.streamnative.io\u002Fdocs\u002Fbilling-overview",[264],[48,992,993,972,996],{},[970,994,995],{},"WarpStream pricing",[55,997,998],{"href":998,"rel":999},"https:\u002F\u002Fwww.warpstream.com\u002Fpricing#pricingfaqs",[264],[48,1001,1002,972,1005],{},[970,1003,1004],{},"AWS S3 pricing",[55,1006,1007],{"href":1007,"rel":1008},"https:\u002F\u002Faws.amazon.com\u002Fs3\u002Fpricing\u002F",[264],[48,1010,1011,972,1014],{},[970,1012,1013],{},"AWS EBS pricing",[55,1015,1016],{"href":1016,"rel":1017},"https:\u002F\u002Faws.amazon.com\u002Febs\u002Fpricing\u002F",[264],[48,1019,1020,972,1023],{},[970,1021,1022],{},"AWS MSK pricing",[55,1024,1025],{"href":1025,"rel":1026},"https:\u002F\u002Faws.amazon.com\u002Fmsk\u002Fpricing\u002F",[264],[48,1028,1029,972,1032],{},[970,1030,1031],{},"The Brutal Truth about Kafka Cost Calculators",[55,1033,852],{"href":852,"rel":1034},[264],[48,1036,1037,972,1040],{},[970,1038,1039],{},"Redpanda vs. Confluent: A Performance and TCO Benchmark Report by McKnight Consulting Group",[55,1041,906],{"href":906,"rel":1042},[264],{"title":18,"searchDepth":19,"depth":19,"links":1044},[1045,1046,1047,1052,1056,1057,1066,1069],{"id":333,"depth":19,"text":334},{"id":372,"depth":19,"text":373},{"id":397,"depth":19,"text":398,"children":1048},[1049,1050,1051],{"id":409,"depth":279,"text":410},{"id":434,"depth":279,"text":435},{"id":455,"depth":279,"text":456},{"id":479,"depth":19,"text":480,"children":1053},[1054,1055],{"id":483,"depth":279,"text":484},{"id":498,"depth":279,"text":499},{"id":539,"depth":19,"text":540},{"id":551,"depth":19,"text":552,"children":1058},[1059,1060,1061,1062,1063,1064,1065],{"id":558,"depth":279,"text":559},{"id":604,"depth":279,"text":605},{"id":622,"depth":279,"text":623},{"id":669,"depth":279,"text":670},{"id":697,"depth":279,"text":698},{"id":715,"depth":279,"text":716},{"id":730,"depth":279,"text":731},{"id":775,"depth":19,"text":776,"children":1067},[1068],{"id":815,"depth":279,"text":816},{"id":930,"depth":19,"text":931,"children":1070},[1071,1072],{"id":937,"depth":279,"text":938},{"id":948,"depth":279,"text":949},"StreamNative Cloud","2025-01-31","Discover how Ursa achieves 5GB\u002Fs Kafka workloads at just 5% of the cost of traditional streaming engines like Redpanda and AWS MSK. See our benchmark results comparing infrastructure costs, total cost of ownership (TCO), and performance across leading Kafka vendors.","\u002Fimgs\u002Fblogs\u002F679c6593d25099b1cdcec4ca_image-31.png",{},"\u002Fblog\u002Fhow-we-run-a-5-gb-s-kafka-workload-for-just-50-per-hour","30 min",{"title":308,"description":1075},"blog\u002Fhow-we-run-a-5-gb-s-kafka-workload-for-just-50-per-hour",[1083,1084,303],"TCO","Apache Kafka","A0o_2xdJiLI6rf6xj4RKsxJNo_A6QN2fYzCp6gaLrFw",[1087,1287,1354,1461,1579,1661,1714,1799,1879,1985,2061,2097,2188,2233,2298,2360,2427,2500,2572,2623,2709],{"id":1088,"title":1089,"authors":290,"body":1090,"category":290,"createdAt":290,"date":6,"description":1276,"extension":8,"featured":7,"image":1277,"isDraft":294,"link":290,"mediaContact":1278,"meta":1279,"navigation":7,"order":296,"path":1280,"readingTime":290,"relatedResources":290,"seo":1281,"stem":1282,"tags":1283,"__hash__":1286},"pressReleases\u002Fpress-releases\u002Fstreamnative-introduces-lakestream-architecture-and-launches-native-kafka-service.md","StreamNative Introduces Lakestream Architecture and Launches Native Kafka Service, Unifying Streaming and the Lakehouse",{"type":15,"value":1091,"toc":1268},[1092,1096,1117,1121,1124,1127,1130,1134,1137,1140,1143,1147,1155,1164,1167,1171,1194,1203,1212,1226,1229,1233,1236,1243,1247,1255,1262],[818,1093,1095],{"id":1094},"new-architectural-paradigm-makes-streams-first-class-lakehouse-primitives-ursa-for-kafka-delivers-up-to-95-cost-reduction-as-the-first-proof-point","New architectural paradigm makes streams first-class lakehouse primitives; Ursa For Kafka delivers up to 95% cost reduction as the first proof point",[48,1097,1098,1099,1104,1105,1110,1111,1116],{},"SAN JOSE, Calif., April 7, 2026 --- ",[55,1100,1103],{"href":1101,"rel":1102},"https:\u002F\u002Fstreamnative.io\u002F",[264],"StreamNative",", founded by the creators of Apache Pulsar, today ",[55,1106,1109],{"href":1107,"rel":1108},"https:\u002F\u002Fstreamnative.io\u002Fblog\u002Ffrom-streams-to-lakestreams",[264],"introduced Lakestream",", a new architectural paradigm for lakehouse-native streaming, alongside the ",[55,1112,1115],{"href":1113,"rel":1114},"https:\u002F\u002Fstreamnative.io\u002Fblog\u002Fursa-for-kafka-native-apache-kafka-service-on-lakestream",[264],"launch of Ursa For Kafka (UFK)"," --- a native Apache Kafka service that puts the Lakestream vision into practice. After seven years building streaming infrastructure from the ground up, from Apache Pulsar's compute-storage separation to lakehouse-native storage, StreamNative is challenging that assumption from a place no connector-first vendor can.",[40,1118,1120],{"id":1119},"the-streaming-lakehouse-divide","The Streaming-Lakehouse Divide",[48,1122,1123],{},"Today's data architectures operate in a split world. Streaming data lives in Kafka or Pulsar. Analytics lives in the lakehouse like Databricks, Snowflake, or data lake platforms. Connecting the two requires layers of connectors, ETL pipelines, and materialization jobs that add cost, complexity, latency, and fragility.",[48,1125,1126],{},"The industry has tried to close this gap from both sides: Streaming vendors build connectors to the lakehouse, while lakehouse platforms add streaming features. But these approaches share a fundamental assumption: streaming and the lakehouse are separate systems that need to be bridged.",[48,1128,1129],{},"StreamNative is challenging that assumption.",[40,1131,1133],{"id":1132},"introducing-lakestream-streams-as-lakehouse-primitives","Introducing Lakestream: Streams as Lakehouse Primitives",[48,1135,1136],{},"Lakestream is a new architectural paradigm that unifies data streaming and the lakehouse, not by building better bridges between them, but by making them one and the same. Just as the lakehouse paradigm proved that data warehouses and data lakes don't need to be separate, Lakestream proves that streaming and the lakehouse don't need to be separate either.",[48,1138,1139],{},"The core insight: traditional streaming systems push interoperability up to the protocol layer, creating data silos for each protocol. Lakestream pushes interoperability down to the storage and catalog layers - achieving unification through a shared lakehouse-native storage foundation and unified metadata catalog. Streams become first-class lakehouse primitives alongside tables. The protocol becomes a choice of interface, not a choice of data silo.",[48,1141,1142],{},"In practice, this means a Kafka topic and an Iceberg table can be the same object: no movement, no connectors, no waiting. The Lakestream architecture that makes this possible is built on three layers: cloud-native stream storage that writes directly to object storage in open formats (Iceberg, Delta Lake); a Lakestream Catalog that federates with Databricks Unity Catalog, Snowflake Horizon Catalog, and AWS S3 Tables; and stateless protocol servers that let Kafka, Pulsar, and other protocols all write to the same underlying storage.",[40,1144,1146],{"id":1145},"ursa-for-kafka-lakestream-in-action","Ursa For Kafka: Lakestream in Action",[48,1148,1149,1150,1154],{},"As the first major proof point of the Lakestream architecture, StreamNative is simultaneously launching Ursa For Kafka (UFK), a native Apache Kafka service entering Limited Public Preview. UFK is an Apache Kafka 4.2+ fork powered by ",[55,1151,379],{"href":1152,"rel":1153},"https:\u002F\u002Fstreamnative.io\u002Fproducts\u002Fursa",[264],", StreamNative's lakehouse-native stream storage engine. With UFK, every native Kafka topic is simultaneously a lakehouse table, queryable from Spark, Snowflake, and Databricks with zero code changes, no connectors, and no ETL.",[48,1156,1157,1158,1163],{},"Ursa's architecture eliminates cross-AZ replication (the single largest cost driver in cloud-deployed streaming) delivering up to 95% cost reduction validated at 5 GB\u002Fs sustained throughput. The architecture earned the ",[55,1159,1162],{"href":1160,"rel":1161},"https:\u002F\u002Fstreamnative.io\u002Fblog\u002Fursa-wins-vldb-2025-best-industry-paper-the-first-lakehouse-native-streaming-engine-for-kafka",[264],"Best Industry Paper award at VLDB 2025",", selected over submissions from many industry leaders.",[48,1165,1166],{},"\"We've spent years building toward this moment. Lakestream is the realization that streaming and the lakehouse aren't two systems that need to be connected, they're one system that was never designed to be unified -- until now. Ursa For Kafka proves that even the world's most popular streaming protocol can become a native lakehouse citizen without sacrificing anything. The protocol stays the same. The data becomes lakehouse-native. The boundary simply disappears,\" said Sijie Guo, CEO and Co-Founder, StreamNative",[40,1168,1170],{"id":1169},"key-capabilities-of-ursa-for-kafka","Key Capabilities of Ursa For Kafka",[339,1172,1173,1176,1179,1182,1185,1188,1191],{},[342,1174,1175],{},"Native Apache Kafka Protocol --- Apache Kafka 4.2+ fork; every existing Kafka client, tool, and connector works with zero code changes",[342,1177,1178],{},"Lakehouse-Native Storage --- Every topic stored as Iceberg or Delta Lake tables on object storage; query streaming data from Spark, Snowflake, Databricks, and Trino",[342,1180,1181],{},"Up to 95% Cost Reduction --- Leaderless architecture eliminates cross-AZ replication, validated at 5 GB\u002Fs sustained throughput",[342,1183,1184],{},"Zero-Connector Lakehouse Integration --- No Kafka Connect, no materialization pipelines, no sink connectors; Kafka topics ARE lakehouse tables",[342,1186,1187],{},"Catalog Integrations --- Works with Databricks Unity Catalog, Snowflake Horizon Catalog, and AWS S3 Tables out of the box",[342,1189,1190],{},"Mixed Storage Flexibility --- Run cost-optimized (lakehouse-native) and latency-optimized (disk-based) topic profiles in the same cluster",[342,1192,1193],{},"Available on AWS and GCP --- With Azure expansion planned",[48,1195,1196,1197,1202],{},"\"StreamNative and ",[55,1198,1201],{"href":1199,"rel":1200},"https:\u002F\u002Fwww.starburst.io\u002F",[264],"Starburst"," bring together real-time streaming and seamless Iceberg ingestion to simplify how data moves and becomes usable. Together, we create an open, AI-ready foundation. With Starburst, organizations can query that data directly at scale for real-time analytics and AI,\" said Jitender Aswani - Senior Vice President, Engineering at Starburst.",[48,1204,1205,1206,1211],{},"\"Real-time applications depend on fast, reliable streaming data. With ",[55,1207,1210],{"href":1208,"rel":1209},"https:\u002F\u002Fstartree.ai\u002F",[264],"StarTree","'s native integration with StreamNative Kafka powered by the Ursa engine, organizations can transform event streams into real-time analytics. StarTree also enables customers to query Kafka data written as Iceberg tables by StreamNative, bringing real-time insights to open lakehouse environments,\" said Chinmay Soman, VP Product at StarTree.",[48,1213,1214,1215,1220,1221,1225],{},"UFK demonstrates that any streaming protocol can become lakehouse-native through the Lakestream paradigm. The ",[55,1216,1219],{"href":1217,"rel":1218},"https:\u002F\u002Fstreamnative.io\u002Fursa",[264],"same architecture"," already powers Apache Pulsar workloads on ",[55,1222,1073],{"href":1223,"rel":1224},"https:\u002F\u002Fstreamnative.io\u002Fcloud\u002Foverview",[264],", and is designed to support any protocol that needs lakehouse-native streaming.",[48,1227,1228],{},"StreamNative will open source Ursa and key Lakestream components in the coming months, reflecting the company's belief that this architectural paradigm belongs to the community rather than any single vendor. Apache Pulsar continues to be fully supported on StreamNative Cloud for mission-critical messaging and streaming workloads.",[40,1230,1232],{"id":1231},"availability","Availability",[48,1234,1235],{},"Ursa For Kafka is entering Limited Public Preview today available on AWS and GCP through StreamNative Cloud. UFK works with existing Kafka clients version 0.9 and above --- no code changes required.",[48,1237,1238,1239,190],{},"Early enrollees who sign up by April 15, 2026 will receive $1,000 in credits to use exclusively for Kafka clusters on StreamNative Cloud. To learn more and sign up, visit ",[55,1240,1073],{"href":1241,"rel":1242},"https:\u002F\u002Fconsole.streamnative.cloud\u002Fsignup?from=pr_ufk_launch",[264],[40,1244,1246],{"id":1245},"additional-resources","Additional Resources",[48,1248,1249,1250,190],{},"Today's announcement includes several launch partners that have validated technical integration. For more information on StreamNative's launch partners, ",[55,1251,1254],{"href":1252,"rel":1253},"https:\u002F\u002Fstreamnative.io\u002Fblog\u002Fannouncing-streamnative-kafka-service-launch-partners",[264],"visit this link",[48,1256,1257,1258,190],{},"For more information on Lakestream, read StreamNative's ",[55,1259,1261],{"href":1107,"rel":1260},[264],"blog post",[48,1263,1264,1265,190],{},"For more information on UFK, read StreamNative's ",[55,1266,1261],{"href":1113,"rel":1267},[264],{"title":18,"searchDepth":19,"depth":19,"links":1269},[1270,1271,1272,1273,1274,1275],{"id":1119,"depth":19,"text":1120},{"id":1132,"depth":19,"text":1133},{"id":1145,"depth":19,"text":1146},{"id":1169,"depth":19,"text":1170},{"id":1231,"depth":19,"text":1232},{"id":1245,"depth":19,"text":1246},"StreamNative introduces Lakestream, a new architectural paradigm making streams first-class lakehouse primitives, and launches Ursa For Kafka (UFK) in Limited Public Preview with up to 95% cost reduction.","\u002Fimgs\u002Fpress-releases\u002Fstreamnative-lakestream-ursa-for-kafka-launch.png","press@streamnative.io",{},"\u002Fpress-releases\u002Fstreamnative-introduces-lakestream-architecture-and-launches-native-kafka-service",{"title":1089,"description":1276},"press-releases\u002Fstreamnative-introduces-lakestream-architecture-and-launches-native-kafka-service",[1084,379,1284,1285],"Data Streaming","Company News","iUabKAGdimd0wq8fAajgGO9pagjI1SNVG5mdFCsgokQ",{"id":1288,"title":1289,"authors":290,"body":1290,"category":290,"createdAt":290,"date":291,"description":1345,"extension":8,"featured":7,"image":293,"isDraft":294,"link":290,"mediaContact":1278,"meta":1346,"navigation":7,"order":296,"path":1347,"readingTime":1348,"relatedResources":290,"seo":1349,"stem":1350,"tags":1351,"__hash__":1353},"pressReleases\u002Fpress-releases\u002Fstreamnative-recognized-as-a-contender-in-streaming-data-platforms-q4-2025-analyst-evaluation.md","StreamNative Recognized as a Contender in Streaming Data Platforms, Q4 2025 Analyst Evaluation",{"type":15,"value":1291,"toc":1342},[1292,1302,1305,1312,1315,1317,1331,1333],[48,1293,1294,1297,1298,1301],{},[44,1295,1296],{},"San Francisco - December 16, 2025"," - ",[55,1299,1103],{"href":1300},"\u002F",", the cloud-native data streaming company, today announced it was named a Contender by Forrester Research in The Forrester Wave™: Streaming Data Platforms, Q4 2025. The report evaluated the 15 most significant streaming data platform providers. StreamNative scored the highest score possible in two criteria Forrester evaluated, including messaging and resource optimization, within the current offering category.",[48,1303,1304],{},"Built on Apache Pulsar and the Ursa Engine, StreamNative offers a cloud-native, multi-protocol streaming data platform engineered for scale, resilience, and performance. The platform empowers enterprises to process, route, and store high-volume, real-time data for both legacy messaging infrastructure modernization and next-generation AI applications.",[48,1306,1307,1308,1311],{},"“StreamNative aims to provide a high-performance, cloud-native multi-protocol streaming data platform…” The Forrester Wave™: Streaming Data Platforms, Q4 2025 also cites “",[970,1309,1310],{},"StreamNative’s"," focus on scalability and resource optimization, while its investments in Pulsar’s open-source ecosystem and performance optimization  make it the primary platform for enterprises wishing to implement Pulsar.”",[48,1313,1314],{},"\"To us, this recognition acknowledges our vision that enterprises need a modern streaming platform built for cloud-native scale and real-time AI workloads,\" said Sijie Guo, CEO and co-founder of StreamNative. \"Our customers are processing billions of events daily across IoT, financial services, and digital engagement use cases. For us, being recognized by Forrester reflects the real-world impact StreamNative delivers - from millions of connected devices to real-time fraud detection pipelines.\"",[32,1316,1246],{"id":1245},[339,1318,1319,1325],{},[342,1320,1321,1322],{},"Access a complimentary copy of the full Forrester Wave™: Streaming Data Platforms, Q4 2025 report. ",[55,1323,1324],{"href":57},"Get the Report Here",[342,1326,1327,1328],{},"Read the blog for more details on StreamNative’s placement in The Forrester Wave™: Streaming Data Platforms, Q4 2025. ",[55,1329,1330],{"href":297},"Read the Blog Here",[208,1332],{},[252,1334,1336],{"id":1335},"forrester-does-not-endorse-any-company-product-brand-or-service-included-in-its-research-publications-and-does-not-advise-any-person-to-select-the-products-or-services-of-any-company-or-brand-based-on-the-ratings-included-in-such-publications-information-is-based-on-the-best-available-resources-opinions-reflect-judgment-at-the-time-and-are-subject-to-change-for-more-information-read-about-forresters-objectivity-here",[36,1337,1338,1339,190],{},"Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity ",[55,1340,267],{"href":262,"rel":1341},[264],{"title":18,"searchDepth":19,"depth":19,"links":1343},[1344],{"id":1245,"depth":279,"text":1246},"StreamNative is recognized in The Forrester Wave™: Streaming Data Platforms, Q4 2025. Discover why Forrester highlights our high-performance messaging, efficient resource use, and cost-effective Kafka API compatibility for real-time innovation.",{},"\u002Fpress-releases\u002Fstreamnative-recognized-as-a-contender-in-streaming-data-platforms-q4-2025-analyst-evaluation","6 min read",{"title":1289,"description":1345},"press-releases\u002Fstreamnative-recognized-as-a-contender-in-streaming-data-platforms-q4-2025-analyst-evaluation",[1284,1352],"Analyst Recognition","bUPe9SAhrdyu5FPEfpIu4ga9qE5VXjUs30mjc9ubmeM",{"id":1355,"title":1356,"authors":290,"body":1357,"category":290,"createdAt":290,"date":1451,"description":1452,"extension":8,"featured":7,"image":1453,"isDraft":294,"link":290,"mediaContact":1278,"meta":1454,"navigation":7,"order":296,"path":1455,"readingTime":1348,"relatedResources":290,"seo":1456,"stem":1457,"tags":1458,"__hash__":1460},"pressReleases\u002Fpress-releases\u002Fstreamnative-delivers-industrys-first-complete-answer-to-real-time-ai-demands-with-lakehouse-native-streaming-and-event-driven-agent-infrastructure.md","StreamNative Delivers Industry's First Complete Answer to Real-Time AI Demands with Lakehouse-Native Streaming and Event-Driven Agent Infrastructure",{"type":15,"value":1358,"toc":1445},[1359,1363,1375,1379,1382,1393,1396,1400,1407,1410,1414,1417,1420,1423,1426,1430,1438],[818,1360,1362],{"id":1361},"company-eliminates-90-of-streaming-costs-while-bridging-data-silos-and-enabling-production-ready-ai-agents","Company eliminates 90% of streaming costs while bridging data silos and enabling production-ready AI agents",[48,1364,1365,1366,1368,1369,1374],{},"San Francisco - September 30, 2025 - ",[55,1367,1103],{"href":1300},", the cloud-native data streaming company, today made a series of announcements at ",[55,1370,1373],{"href":1371,"rel":1372},"https:\u002F\u002Fdatastreaming-summit.org\u002Fevent\u002Fdata-streaming-sf-2025",[264],"the Data Streaming Summit"," in San Francisco that solve the three-part infrastructure crisis blocking enterprise Artificial Intelligence (AI) adoption at scale. The company unveiled Ursa lakehouse-native streaming across all deployment models and introduced Orca - an Event-Driven Agent Engine for production AI agents, delivering the industry's first unified platform for real-time AI at enterprise scale.",[40,1376,1378],{"id":1377},"the-real-time-ai-infrastructure-crisis","The Real-Time AI Infrastructure Crisis",[48,1380,1381],{},"The explosion of real-time AI is creating unprecedented demands on data streaming infrastructure that traditional architectures simply cannot meet. Organizations deploying AI agents, real-time analytics and autonomous systems face three critical bottlenecks that are fundamentally incompatible with legacy streaming designs.",[339,1383,1384,1387,1390],{},[342,1385,1386],{},"First, streaming costs scale exponentially with AI workloads as legacy systems with leader-based replication and separate ETL pipelines can't handle AI's massive data throughput demands economically, often creating cost structures that become prohibitive at scale.",[342,1388,1389],{},"Second, streaming and analytics systems remain disconnected, creating data silos that force AI agents to work with stale data snapshots instead of live context. This prevents AI from accessing the real-time information streams it needs to make informed decisions.",[342,1391,1392],{},"Third, while agent frameworks proliferate in research labs and demos, production environments lack the event-driven runtime, persistent memory and observability that autonomous systems require to operate reliably at enterprise scale.",[48,1394,1395],{},"StreamNative's announcements today deliver the industry's first complete solution to this crisis with two products that redesign how enterprises approach real-time AI.",[40,1397,1399],{"id":1398},"ursa-everywhere-lakehouse-native-streaming-across-all-deployments","Ursa Everywhere – Lakehouse-Native Streaming Across All Deployments",[48,1401,1402,1403,1406],{},"StreamNative is announcing that ",[55,1404,379],{"href":1405},"\u002Fproducts\u002Fursa",", its lakehouse-native streaming engine, is now available across all deployment models, including Serverless, Dedicated and Bring-Your-Own-Cloud (BYOC) environments. Ursa's architecture eliminates separate Extract, Transform, and Load (ETL) pipelines by writing streaming data directly to open table formats like Apache Iceberg and Delta Lake in cloud object storage. This approach delivers up to 90-95% cost reduction compared to traditional streaming systems while maintaining full Kafka API compatibility.",[48,1408,1409],{},"The lakehouse-native design bridges the streaming-analytics divide by ensuring events become immediately queryable tables in data lakehouses without additional engineering overhead. Organizations can now stream once and immediately access that data through SQL, analytics tools and AI systems without building separate batch processing pipelines.",[40,1411,1413],{"id":1412},"orca-agent-engine-enters-private-preview","Orca Agent Engine Enters Private Preview",[48,1415,1416],{},"StreamNative also announced the Private Preview of Orca Agent Engine, the industry's first event-driven runtime designed specifically for production AI agents.",[48,1418,1419],{},"Orca transforms AI agents from stateless, request-response functions into always-on, event-driven services with persistent streaming memory and built-in observability. The platform is framework-agnostic, allowing organizations to bring existing agents built with OpenAI Agents SDK, Google Agent Development Kit (ADK) or custom Python code without modification. The support for LangGraph and other agent frameworks is on the company’s roadmap and forthcoming.",[48,1421,1422],{},"Orca leverages Pulsar or Kafka as a shared event bus to enable agent collaboration and tool discovery via the Model Context Protocol (MCP), creating an \"agent mesh\" where autonomous systems can coordinate actions and share context in real time. Enterprise-grade governance provides full audit trails of agent decisions and actions, addressing the transparency and accountability requirements for production AI deployments.",[48,1424,1425],{},"“Unify Data. Accelerate Insights. Autonomous Actions. That’s the bar for the next generation of data systems,” said Sijie Guo, CEO and co-founder of StreamNative. “Today’s announcements show we’re not tackling streaming, analytics, and AI in isolation—we’re delivering a single, unified foundation that removes the boundaries between them.”",[40,1427,1429],{"id":1428},"availability-and-getting-started","Availability and Getting Started",[48,1431,1432,1433],{},"Ursa lakehouse storage is available today across all StreamNative Cloud deployments, allowing existing customers to immediately benefit from cost reductions and analytics integration without migration. For more information,",[55,1434,1437],{"href":1435,"rel":1436},"http:\u002F\u002Fstreamnative.io\u002Fblog\u002Fursa-everywhere-lakehouse-native-future-data-streaming",[264]," read this blog.",[48,1439,1440,1441],{},"Orca Agent Engine Private Preview launches with BYOC deployments and will expand to all deployment modes in the next few months. Organizations can join the preview program through their StreamNative account teams. For more information, ",[55,1442,1444],{"href":1443},"\u002Fblog\u002Fintroducing-orca-agent-engine-private-preview","read this blog.",{"title":18,"searchDepth":19,"depth":19,"links":1446},[1447,1448,1449,1450],{"id":1377,"depth":19,"text":1378},{"id":1398,"depth":19,"text":1399},{"id":1412,"depth":19,"text":1413},{"id":1428,"depth":19,"text":1429},"2025-09-30","StreamNative unveils Ursa lakehouse-native streaming and Orca Event-Driven Agent Engine, delivering the industry's first unified platform for real-time AI at enterprise scale, eliminating 90% of streaming costs and bridging data silos.","\u002Fimgs\u002Fblogs\u002F68db7b1670511318e32f31dd_Ursa-every-where_no-logo.png",{},"\u002Fpress-releases\u002Fstreamnative-delivers-industrys-first-complete-answer-to-real-time-ai-demands-with-lakehouse-native-streaming-and-event-driven-agent-infrastructure",{"title":1356,"description":1452},"press-releases\u002Fstreamnative-delivers-industrys-first-complete-answer-to-real-time-ai-demands-with-lakehouse-native-streaming-and-event-driven-agent-infrastructure",[1459,379,1284],"Agentic AI","EXYaV9ITqphn9P-d2g0OKZ1B3n6_WDnoXDOFa674luQ",{"id":1462,"title":1463,"authors":290,"body":1464,"category":290,"createdAt":290,"date":1568,"description":1569,"extension":8,"featured":294,"image":1570,"isDraft":294,"link":290,"mediaContact":1278,"meta":1571,"navigation":7,"order":296,"path":1572,"readingTime":1573,"relatedResources":290,"seo":1574,"stem":1575,"tags":1576,"__hash__":1578},"pressReleases\u002Fpress-releases\u002Fdata-streaming-summit-2025-returns-to-san-francisco-with-30-plus-sessions-across-four-tracks.md","Data Streaming Summit 2025 Returns to San Francisco with 30-Plus Sessions Across Four Tracks",{"type":15,"value":1465,"toc":1563},[1466,1470,1480,1483,1487,1490,1495,1510,1518,1521,1525,1528,1532,1541,1548,1551],[818,1467,1469],{"id":1468},"the-industrys-most-open-data-streaming-forum-tackles-rising-costs-streaming-lakehouse-unification-and-real-time-ai","The industry’s most open data streaming forum tackles rising costs, streaming-lakehouse unification, and real-time AI",[48,1471,1472,1473,1475,1476,1479],{},"San Francisco - August 27, 2025 - ",[55,1474,1103],{"href":1300},", the cloud-native data streaming company, today announced ",[55,1477,1373],{"href":1371,"rel":1478},[264]," is returning to San Francisco on Sept. 29-30, 2025, at the Grand Hyatt at SFO with its most comprehensive agenda to date. This year's summit addresses three critical challenges facing data streaming platforms: escalating infrastructure costs, persistent data silos between operational streams and analytical systems, and the growing demand for real-time AI capabilities that deliver insights in milliseconds rather than minutes.",[48,1481,1482],{},"The Data Streaming Summit is an annual conference dedicated to advancing the practice and technology of real-time data processing. The event brings together engineers, architects and data leaders to share practical insights and drive innovation in streaming platforms, lakehouse architectures and AI-powered data systems.",[40,1484,1486],{"id":1485},"summit-agenda-highlights","Summit Agenda Highlights",[48,1488,1489],{},"An opening keynote on industry trends anchors the event, followed by 30-plus breakout sessions across four tracks delivering practical architectures, benchmarks, and takeaways. Highlights include:",[339,1491,1492],{},[342,1493,1494],{},"Four tracks for practitioners and decision-makers:",[1496,1497,1498,1501,1504,1507],"ol",{},[342,1499,1500],{},"Deep Dive — Architecture internals, performance, and operations.",[342,1502,1503],{},"Use Cases — Real-world implementations and measurable outcomes.",[342,1505,1506],{},"AI + Stream Processing — Pipelines for intelligent systems and agentic workloads.",[342,1508,1509],{},"Streaming Lakehouse — Unifying real-time and historical data under consistent governance.",[339,1511,1512,1515],{},[342,1513,1514],{},"Pre-conference training and workshops (Sept. 29) for beginner and advanced audiences.",[342,1516,1517],{},"Main conference (Sept. 30) with multi-track sessions and community networking.",[48,1519,1520],{},"“We’re at a pivotal moment for real-time data,” said Sijie Guo, Co-founder & CEO of StreamNative. “Teams are under pressure to lower costs, eliminate streaming-analytics silos, and power AI on fresh data. Data Streaming Summit is designed as an open, vendor-neutral forum where the community can compare notes and leave with practical approaches that work across ecosystems.”",[40,1522,1524],{"id":1523},"summit-openness-by-design","Summit Openness by Design",[48,1526,1527],{},"Data Streaming Summit is intentionally vendor-neutral and multi-technology. Innovation - rather than allegiance to a single logo - is driving rapid architectural change. While the Kafka API remains a de facto standard, the rise of agentic AI is pushing platforms to support both queue and stream semantics within the same system, embrace multi-protocol runtimes (Kafka-compatible, Pulsar-native, and beyond), and adopt new designs such as leaderless engines and disaggregated storage. The Summit will convene leaders from across the ecosystem, including contributors and practitioners from StreamNative, alongside invited technology leaders from OpenAI, Netflix, LinkedIn, Uber, Confluent, Redpanda, and more to examine these shifts and the future direction of data streaming. Sponsors for the Summit include AWS, Ververica, Redpanda, RisingWave, VeloDB, and others.",[40,1529,1531],{"id":1530},"streamnative-ursa-bridging-streaming-and-the-lakehouse-in-the-open","StreamNative Ursa: Bridging Streaming and the Lakehouse - In the Open",[48,1533,1534,1535,1540],{},"Coinciding with the summit, StreamNative is also announcing its Ursa research paper has been accepted by ",[55,1536,1539],{"href":1537,"rel":1538},"https:\u002F\u002Fvldb.org\u002F2025\u002F?program-schedule-2025#Industry-1",[264],"VLDB (Very Large Data Bases)",". This recognition places Ursa’s architecture within the broader discourse on next-generation data systems and reinforces its role as a practical blueprint for a streaming-augmented lakehouse. Ursa is one innovation among many that will be featured at The Data Streaming Summit.",[48,1542,1543,1544,1547],{},"Within this open, multi-technology context, ",[55,1545,1546],{"href":1405},"StreamNative’s Ursa ","serves as a reference implementation for the agentic era built to lower cost, eliminate streaming-analytics silos, and enable real-time AI. Its design centers on leaderless architecture, lakehouse-native storage, and one durable data copy that can be consumed by multiple engines and accessed through multiple protocols. By aligning with open standards and table formats, Ursa lets teams run streams and tables as a continuum rather than separate stacks.",[48,1549,1550],{},"Ursa reflects the Summit’s commitment to interoperability. It is engineered for multi-protocol usage and cross-engine workloads, so organizations can adopt modern patterns without locking into a single vendor or API. With availability across multiple cloud providers, practitioners can choose the deployment model that fits their governance and performance needs while preserving portability.",[48,1552,1553,1554,1557,1558],{},"For more information on the Data Streaming Summit, ",[55,1555,1254],{"href":1371,"rel":1556},[264],". To register for the Summit, ",[55,1559,1562],{"href":1560,"rel":1561},"https:\u002F\u002Fwww.eventbrite.com\u002Fe\u002Fdata-streaming-summit-san-francisco-2025-tickets-1432401484399",[264],"visit this link.",{"title":18,"searchDepth":19,"depth":19,"links":1564},[1565,1566,1567],{"id":1485,"depth":19,"text":1486},{"id":1523,"depth":19,"text":1524},{"id":1530,"depth":19,"text":1531},"2025-08-27","The Data Streaming Summit 2025 is back in San Francisco with 30+ sessions across four tracks. Join engineers, architects, and data leaders to explore cutting costs, unifying streaming and lakehouse systems, and powering real-time AI. Sept. 29–30, Grand Hyatt SFO. Register today!","\u002Fimgs\u002Fpress-releases\u002F68b99f5b4dc2f17841943e4e_DSS-Agenda_four-tracks-1.png",{},"\u002Fpress-releases\u002Fdata-streaming-summit-2025-returns-to-san-francisco-with-30-plus-sessions-across-four-tracks","5 min read",{"title":1463,"description":1569},"press-releases\u002Fdata-streaming-summit-2025-returns-to-san-francisco-with-30-plus-sessions-across-four-tracks",[1284,1577,379],"Events","iiT6dKN8IsDoniWf-BO0DcP1wgft1B-coaxyqj3kCVM",{"id":1580,"title":1581,"authors":290,"body":1582,"category":290,"createdAt":290,"date":1651,"description":1652,"extension":8,"featured":7,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":1654,"navigation":7,"order":296,"path":1655,"readingTime":1573,"relatedResources":290,"seo":1656,"stem":1657,"tags":1658,"__hash__":1660},"pressReleases\u002Fpress-releases\u002Fstreamnative-announces-ursa-engine-ga-on-aws-and-unilink-migration-tool.md","StreamNative Announces Ursa Engine GA on AWS and UniLink Migration Tool, Slashing Data Streaming Costs 10x for AI-Ready Lakehouses",{"type":15,"value":1583,"toc":1646},[1584,1593,1596,1600,1603,1606,1610,1613,1617,1620,1626,1632,1638],[48,1585,1586,1589,1590,1592],{},[44,1587,1588],{},"SAN FRANCISCO, March 18, 2025"," -- ",[55,1591,1103],{"href":1300},", the cloud-native data streaming company, announced the General Availability (GA) of Ursa Engine for Bring Your Own Cloud (BYOC) on Amazon Web Services (AWS). The engine integrates natively with Snowflake Open Catalog, Databricks Unity Catalog, and Amazon S3 Tables to stream real-time data into AI-ready data lakehouses.",[48,1594,1595],{},"Alongside this announcement, StreamNative introduced UniLink (Universal Linking) in public preview. This tool helps customers migrate from legacy data streaming platforms to Ursa. The company states these offerings reduce infrastructure costs, simplify Apache Kafka migrations, and unify governance across streaming and batch workloads.",[40,1597,1599],{"id":1598},"ursa-engine-architecture-and-advantages","Ursa Engine Architecture and Advantages",[48,1601,1602],{},"Ursa Engine employs a leaderless architecture that eliminates traditional Kafka inefficiencies. The system removes leader elections, reducing operational complexity and inter-availability zone traffic. By adopting lakehouse-native storage design, organizations can store data directly in object storage using Apache Iceberg and Delta Lake open table formats.",[48,1604,1605],{},"The engine achieves approximately tenfold cost reduction compared to traditional Kafka solutions. Data flows seamlessly to object storage, compacts automatically into Iceberg tables, and becomes immediately available for data teams using Snowflake.",[40,1607,1609],{"id":1608},"integration-with-data-catalogs","Integration with Data Catalogs",[48,1611,1612],{},"Ursa Engine natively integrates with modern data catalogs including Snowflake Open Catalog, Databricks Unity Catalog, and AWS S3 Tables. This integration provides end-to-end data governance for both streaming and batch workloads, eliminating the need for custom integrations or connectors. Organizations achieve consistent security, access control, and lineage tracking.",[40,1614,1616],{"id":1615},"unilink-migration-tool","UniLink Migration Tool",[48,1618,1619],{},"UniLink enables seamless Kafka topic and metadata replication to Ursa Engine without downtime. The tool converts Kafka topics directly into Iceberg or Delta tables, ensuring full compatibility with modern data lakehouses while significantly reducing operational costs.",[48,1621,1622,1623],{},"\"As a longtime StreamNative customer running its classic Apache Pulsar engine in production for our ultra-low-latency workloads, I couldn't be more excited about the new Ursa Engine GA. It opens up entirely new possibilities for data-intensive, latency-relaxed workloads, all while simplifying our enterprise data architecture. You don't have to worry about cost anymore—just pump all your streaming data into Ursa. Our evaluation shows it to be 10 times more cost-efficient than other Kafka solutions. Everything is seamlessly written to object storage, automatically compacted into Iceberg tables, and made immediately available for our data teams using Snowflake. Ursa Engine delivers the performance, cost-efficiency, and scalability we need to stay ahead in our industry.\" -- ",[44,1624,1625],{},"Christos A, Enterprise Architect at F500 company",[48,1627,1628,1629],{},"\"Real-time data ingestion is a critical component of modern AI and analytics. Ursa Engine's integration with Snowflake Open Catalog and Apache Iceberg will allow businesses to stream data into their lakehouses more seamlessly, reducing costs while maintaining and prioritizing unified governance, interoperability, and performance. We're excited to see StreamNative bring this powerful solution to the market.\" -- ",[44,1630,1631],{},"Christian Kleinerman, EVP of Product at Snowflake",[48,1633,1634,1635],{},"\"For too long, high costs have kept real-time data streaming out of reach for many organizations. With today's announcements and our catalog integrations, we're making data streaming more affordable, scalable, and AI-ready—without disrupting existing Kafka workloads.\" -- ",[44,1636,1637],{},"Sijie Guo, CEO & Co-Founder, StreamNative",[48,1639,1640,1641,190],{},"Organizations can experience Ursa and explore StreamNative's solutions with a $200 credit at ",[55,1642,1645],{"href":1643,"rel":1644},"https:\u002F\u002Fconsole.streamnative.cloud",[264],"console.streamnative.cloud",{"title":18,"searchDepth":19,"depth":19,"links":1647},[1648,1649,1650],{"id":1598,"depth":19,"text":1599},{"id":1608,"depth":19,"text":1609},{"id":1615,"depth":19,"text":1616},"2025-03-18","StreamNative announced the General Availability of Ursa Engine for BYOC on AWS, natively integrating with Snowflake Open Catalog, Databricks Unity Catalog, and Amazon S3 Tables to stream real-time data into AI-ready data lakehouses.","\u002Fimgs\u002Fpress-releases\u002Fpr-default.webp",{},"\u002Fpress-releases\u002Fstreamnative-announces-ursa-engine-ga-on-aws-and-unilink-migration-tool",{"title":1581,"description":1652},"press-releases\u002Fstreamnative-announces-ursa-engine-ga-on-aws-and-unilink-migration-tool",[379,1284,1659],"Cloud","RlKWMtd43mUNPFF4kWfKZILzl99mp-cxN6mzvgIgmO0",{"id":1662,"title":1663,"authors":290,"body":1664,"category":290,"createdAt":290,"date":1706,"description":1663,"extension":8,"featured":294,"image":1707,"isDraft":294,"link":290,"mediaContact":1278,"meta":1708,"navigation":7,"order":296,"path":1709,"readingTime":1573,"relatedResources":290,"seo":1710,"stem":1711,"tags":1712,"__hash__":1713},"pressReleases\u002Fpress-releases\u002Fstreamnative-earns-50-best-startup-places-to-work-in-san-francisco-on-built-ins-best-places-to-work-list.md","StreamNative Earns 50 Best Startup Places to Work in San Francisco on Built In’s Best Places to Work List",{"type":15,"value":1665,"toc":1702},[1666,1669,1672,1675,1678,1682,1690,1694],[48,1667,1668],{},"San Francisco, CA 1\u002F9\u002F2025 — Built In today announced that StreamNative was honored in its 2025 Best Places To Work Awards. Specifically, StreamNative earned a place on 50 Best Startup Places to Work in San Francisco. The annual awards program includes companies of all sizes, from startups to those in the enterprise, and honors both remote-first employers as well as companies in large tech markets across the U.S.",[48,1670,1671],{},"“We are honored to be recognized as one of the 50 Best Startup Places to Work in San Francisco for 2025 by BuiltIn. It’s humbling to stand alongside so many innovative companies that are shaping the future. This recognition is a reflection of the incredible team we have at StreamNative, who bring passion, creativity, and a shared sense of purpose to everything we do. Our commitment to building a workplace where people feel valued and inspired remains at the heart of our journey, and we’re excited to keep raising the bar as we grow together.” - Sijie Guo, CEO and Founder of StreamNative",[48,1673,1674],{},"Built In determines the winners of Best Places to Work based on an algorithm, using company data about compensation and benefits. To reflect the benefits candidates are searching for more frequently on Built In, the program also weighs criteria like remote and flexible work opportunities, programs for DEI and other people-first cultural offerings.",[48,1676,1677],{},"“Being recognized as a Best Place to Work is a testament to these companies' commitment to building a workplace where individuals and innovation thrive,\" says Built In CEO and Founder, Maria Christopoulos Katris. “At Built In, we understand that great companies are powered by great teams, and this achievement showcases their dedication to fostering a culture of growth, inclusivity, and excellence. Congratulations on this well-deserved honor.”",[40,1679,1681],{"id":1680},"about-built-in","ABOUT BUILT IN",[48,1683,1684,1685],{},"Built In is the “always on” recruiting platform that reaches the tech professionals that other leading recruiting platforms don’t. Designed to help companies hire expert tech talent, Built In continuously drives brand awareness with content. Monthly, millions of the industry’s most in-demand global tech professionals visit our site to stay ahead of tech trends and news, learn skills to accelerate their careers, find the right job opportunities, and get hired. Thousands of companies, from fast-growing startups to the largest enterprises, rely on Built In. By putting their stories in front of our uniquely engaged audience, we help them hire otherwise hard-to-reach technical and expert talent. ",[55,1686,1689],{"href":1687,"rel":1688},"http:\u002F\u002Fwww.builtin.com",[264],"www.builtin.com",[40,1691,1693],{"id":1692},"about-built-ins-best-places-to-work","ABOUT BUILT IN’S BEST PLACES TO WORK",[48,1695,1696,1697],{},"Built In’s annual Best Places to Work program honors companies with the best total rewards packages across the U.S. and in the following tech hubs: Atlanta, Austin, Boston, Chicago, Colorado, Dallas, Houston, Los Angeles, Miami, New York, San Diego, San Francisco, Seattle and Washington DC. Best Places to Work is distinct because its algorithm selects tech companies that build their offerings specifically around what tech professionals value in a workplace. ",[55,1698,1701],{"href":1699,"rel":1700},"https:\u002F\u002Femployers.builtin.com\u002Fbest-places-to-work\u002F",[264],"https:\u002F\u002Femployers.builtin.com\u002Fbest-places-to-work ",{"title":18,"searchDepth":19,"depth":19,"links":1703},[1704,1705],{"id":1680,"depth":19,"text":1681},{"id":1692,"depth":19,"text":1693},"2025-01-09","\u002Fimgs\u002Fblogs\u002F678006684b6b5080730f9009_Builtin-width.png",{},"\u002Fpress-releases\u002Fstreamnative-earns-50-best-startup-places-to-work-in-san-francisco-on-built-ins-best-places-to-work-list",{"title":1663,"description":1663},"press-releases\u002Fstreamnative-earns-50-best-startup-places-to-work-in-san-francisco-on-built-ins-best-places-to-work-list",[1285],"wzx7pJJDneoQaoqET0340C0pOjU0miKOBWTrsR2c52M",{"id":1715,"title":1716,"authors":290,"body":1717,"category":290,"createdAt":290,"date":1791,"description":1792,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":1793,"navigation":7,"order":296,"path":1794,"readingTime":1573,"relatedResources":290,"seo":1795,"stem":1796,"tags":1797,"__hash__":1798},"pressReleases\u002Fpress-releases\u002Fstreamnative-announces-ursa-engine-public-preview-at-data-streaming-summit-2024.md","StreamNative Announces Ursa Engine Public Preview at Data Streaming Summit 2024",{"type":15,"value":1718,"toc":1787},[1719,1727,1730,1741,1744,1748,1751,1754,1757,1761,1764,1770,1773],[48,1720,1721,1589,1724,1726],{},[44,1722,1723],{},"SAN FRANCISCO, October 30, 2024",[55,1725,1103],{"href":1300},", the cloud-native data streaming company founded by the original creators of Apache Pulsar, today made a series of announcements at this week's Data Streaming Summit 2024, including the public preview of Ursa Engine, designed to address the need for cost-effective, future-proof streaming data platforms.",[48,1728,1729],{},"The Ursa Engine, built upon Apache Pulsar's cloud-native architecture, is a 100% Kafka-compatible engine that is built on data lakehouses. It brings the power of real-time data streaming to data lakehouses and augments it to create a single, unified platform for greater flexibility, scalability, and cost-efficiency. Ursa shifts from the ZooKeeper and BookKeeper-based architecture toward a headless stream storage architecture, using Oxia as a metadata store, Object Storage as data storage and making BookKeeper optional. By leveraging the Ursa Engine, users will:",[339,1731,1732,1735,1738],{},[342,1733,1734],{},"Reduce costs associated with scaling streaming data infrastructure",[342,1736,1737],{},"Eliminate the need for costly data transfers between streaming and batch systems",[342,1739,1740],{},"Seamlessly integrate real-time and historical data, allowing for more efficient AI workflows",[48,1742,1743],{},"Utilizing Ursa Engine will reduce data streaming infrastructure costs for customers, with 10x cost-savings, making it ideal for a real-time data streaming infrastructure. By bringing data streaming closer to data lakehouses, it is designed to meet the unique demands for the age of AI—whether it's training large models, running real-time AI applications, or handling mission-critical transactional workloads. Ursa Engine is available for public preview on StreamNative Cloud. It's available starting today on BYOC (Bring Your Own Cloud), and will soon be available for Dedicated and Private Cloud.",[40,1745,1747],{"id":1746},"universal-linking-unilink","Universal Linking (UniLink)",[48,1749,1750],{},"Today StreamNative also introduced Universal Linking (UniLink), a service that simplifies how organizations handle data replication and migration between different streaming platforms, offering a more cost-effective approach compared to traditional methods. By leveraging object storage instead of direct network connections, UniLink enables seamless data sharing between Kafka and Pulsar environments, eliminating the traditional barriers between these platforms. This innovation is particularly valuable for organizations managing hybrid cloud environments or those looking to migrate between different streaming platforms without service disruption.",[48,1752,1753],{},"UniLink marks a significant shift in how streaming data can be replicated across different environments, addressing a long-standing challenge in the industry. While traditional replication methods rely on expensive network transfers, UniLink's innovative approach uses cloud storage as an intermediate layer, significantly reducing costs while maintaining data consistency.",[48,1755,1756],{},"UniLink is available today as a Private Preview feature on StreamNative Cloud for the company's early access partners.",[40,1758,1760],{"id":1759},"data-streaming-summit","Data Streaming Summit",[48,1762,1763],{},"Today's announcements were made at the sold-out Data Streaming Summit in San Francisco, a community that came together to share best practices and discuss the future of streaming technologies. Sponsors include PingCAP, Ververica, Google Cloud, Nexaminds, Snowflake, and more while speakers at the conference include executives from FICO, Uber, Pinterest, Databricks, Iterable and more. The Data Streaming Summit, previously named the Pulsar Summit, has been a semi-annual event since 2020, gathering more than 2,000 technologists from more than 170 countries around the world.",[48,1765,1766,1767],{},"\"The data streaming industry is at a pivotal moment as organizations build their AI infrastructure and seek more cost-effective, scalable solutions. With this week's announcements including Ursa Engine, we're fundamentally reimagining data streaming architecture by unifying streaming and batch data processing in a single platform. This innovation allows organizations to reduce their infrastructure costs by up to 90% while maintaining the performance and reliability they need for mission-critical workloads. We're not just improving existing technologies—we're creating the foundation for the next generation of AI-powered data streaming.\" -- ",[44,1768,1769],{},"Sijie Guo, CEO and co-founder of StreamNative",[48,1771,1772],{},"For more information:",[339,1774,1775,1781],{},[342,1776,1777],{},[55,1778,1780],{"href":1779},"\u002Fblog\u002Fannouncing-the-ursa-engine-public-preview-for-streamnative-byoc-clusters","Blog post on Ursa Engine Public Preview",[342,1782,1783],{},[55,1784,1786],{"href":1785},"\u002Fblog\u002Fintroducing-universal-linking-revolutionizing-data-replication-and-interoperability-across-data-streaming-systems","Blog post on UniLink",{"title":18,"searchDepth":19,"depth":19,"links":1788},[1789,1790],{"id":1746,"depth":19,"text":1747},{"id":1759,"depth":19,"text":1760},"2024-10-30","StreamNative announced the public preview of Ursa Engine and Universal Linking at Data Streaming Summit 2024, transforming data streaming economics with cloud-native architecture.",{},"\u002Fpress-releases\u002Fstreamnative-announces-ursa-engine-public-preview-at-data-streaming-summit-2024",{"title":1716,"description":1792},"press-releases\u002Fstreamnative-announces-ursa-engine-public-preview-at-data-streaming-summit-2024",[379,1284,1577],"iVeGJjer8Dd1C0v_i5rwOmCfnbKeOaYExn80pXFDrKQ",{"id":1800,"title":1801,"authors":290,"body":1802,"category":290,"createdAt":290,"date":1869,"description":1870,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":1871,"navigation":7,"order":296,"path":1872,"readingTime":1873,"relatedResources":290,"seo":1874,"stem":1875,"tags":1876,"__hash__":1878},"pressReleases\u002Fpress-releases\u002Fstreamnative-launches-managed-flink-byoc-offerings.md","StreamNative Launches Managed Flink BYOC Offerings",{"type":15,"value":1803,"toc":1866},[1804,1812,1815,1818,1821,1826,1832,1836,1839,1850,1852],[48,1805,1806,1589,1809,1811],{},[44,1807,1808],{},"SAN FRANCISCO, October 17, 2024",[55,1810,1103],{"href":1300},", the cloud-native data streaming company founded by the original creators of Apache Pulsar, announced a managed Apache Flink BYOC product offering available to StreamNative customers in private preview. The offering is powered by Ververica, the original creators of Apache Flink. Businesses worldwide have extensively used Pulsar or Kafka with Flink, and this new managed service provides simplicity when deploying real-time applications in the cloud.",[48,1813,1814],{},"StreamNative's managed service will first be available in Bring Your Own Cloud (BYOC) deployment. Integrating Flink's advanced stream processing capabilities with StreamNative's robust streaming data storage layer in the same Virtual Private Cloud (VPC) ensures data sovereignty across the entire data processing lifecycle, simplifying streaming processing implementation and lowering barriers to adopting data streaming. The offering will soon be available in other StreamNative Cloud offerings, including Serverless, Dedicated, and private cloud.",[48,1816,1817],{},"StreamNative customers use an optimized version of Apache Pulsar run by Ursa engine, which advances Pulsar as a versatile data streaming platform built on lakehouse storage that seamlessly integrates multiple tenants and data types. It supports various protocols including Apache Kafka while unifying streaming and tabular data at the storage level. StreamNative's offering combines with Ververica's VERA engine, optimized for best Flink performance.",[48,1819,1820],{},"Integrations between separate cloud platforms typically require complex networking setup and inter-account or inter-AZ traffic, creating exorbitant cloud vendor costs. Data sovereignty is a major concern when stream processing vendors don't offer BYOC. This collaboration combines two best-in-class technologies to deliver simple, powerful, secure, and cost-efficient stream processing. Integrating Ververica's VERA engine with StreamNative's data streaming platform simplifies stream processing implementation.",[48,1822,1823,1824],{},"\"Apache Pulsar provides fundamental real-time data serving and storage ability while Apache Flink provides critical computing ability for both streaming and batch use cases. Together, these technologies enable powerful applications such as real-time fraud detection in financial services, dynamic inventory management in retail, and predictive maintenance in manufacturing. This offering is a major step forward in StreamNative's mission to make data streaming accessible, affordable, and reliable for all organizations.\" -- ",[44,1825,1769],{},[48,1827,1828,1829],{},"\"We are thrilled to partner with StreamNative to bring Apache Flink's powerful stream processing capabilities to their cloud platform. By combining Ververica's deep Flink expertise with StreamNative's innovative Pulsar-based infrastructure, we're helping companies build applications that perform even faster and at a lower total cost of ownership than options available until this point, all with unprecedented ease and efficiency. This partnership represents a significant step forward in making advanced stream processing accessible and manageable for businesses of all shapes and sizes.\" -- ",[44,1830,1831],{},"Alexander Walden, CEO at Ververica",[40,1833,1835],{"id":1834},"core-features","Core Features",[48,1837,1838],{},"The managed Flink solution includes:",[339,1840,1841,1844,1847],{},[342,1842,1843],{},"Ability to run Flink SQL queries",[342,1845,1846],{},"Ability to deploy Flink jobs",[342,1848,1849],{},"Platform management capabilities via Command Line Interface and APIs",[48,1851,1772],{},[339,1853,1854,1860],{},[342,1855,1856],{},[55,1857,1859],{"href":1858},"\u002Fblog\u002Fintroducing-managed-apache-flink-in-streamnative-cloud","StreamNative blog post on managed Flink",[342,1861,1862],{},[55,1863,1865],{"href":1864},"\u002Fisvs\u002Fververica","Ververica partnership details",{"title":18,"searchDepth":19,"depth":19,"links":1867},[1868],{"id":1834,"depth":19,"text":1835},"2024-10-17","StreamNative announced a managed Apache Flink BYOC product offering powered by Ververica, enabling trusted deployment for Pulsar and Flink in one platform.",{},"\u002Fpress-releases\u002Fstreamnative-launches-managed-flink-byoc-offerings","4 min read",{"title":1801,"description":1870},"press-releases\u002Fstreamnative-launches-managed-flink-byoc-offerings",[1877,1284,1659],"Flink","LS8ERcQWLDFsHy7s_zyxJlWgywL8dAP6KXrWSBhQMH8",{"id":1880,"title":1881,"authors":290,"body":1882,"category":290,"createdAt":290,"date":1976,"description":1977,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":1978,"navigation":7,"order":296,"path":1979,"readingTime":1980,"relatedResources":290,"seo":1981,"stem":1982,"tags":1983,"__hash__":1984},"pressReleases\u002Fpress-releases\u002Fstreamnative-removes-data-streaming-barriers-to-entry.md","StreamNative Removes Data Streaming Barriers to Entry with Universal Connectivity and Serverless Offerings",{"type":15,"value":1883,"toc":1971},[1884,1892,1895,1898,1901,1905,1908,1911,1915,1918,1921,1924,1927,1944,1949,1955,1961,1965,1968],[48,1885,1886,1589,1889,1891],{},[44,1887,1888],{},"SAN FRANCISCO, September 10, 2024",[55,1890,1103],{"href":1300},", the cloud-native data streaming company founded by the original creators of Apache Pulsar, today announced two product launches and a Partner Program to make data streaming more approachable and cost-effective. Just two months after the launch of Ursa, a Kafka-compatible data streaming engine built on top of lakehouse storage, StreamNative is continuing its mission to make streaming technology easier to use.",[48,1893,1894],{},"Data streaming has become a critical technology for modern enterprises, enabling real-time analysis and decision-making across a wide range of use cases. However, the complexities and operational overhead associated with implementing and managing data streaming infrastructure have often presented significant barriers to adoption. 76% of IT leaders cite five or more data-related challenges impacting their organizations, including siloed data and governance -- yet 94% cite five or more areas where data streaming platforms can help combat these challenges.",[48,1896,1897],{},"Connecting disparate data sources, provisioning the right compute and storage resources, and ensuring scalability and reliability can be daunting challenges, especially for organizations without extensive data engineering expertise. As a result, many businesses have struggled to fully capitalize on the transformative potential of data streaming, hindering their ability to derive insights and drive innovation from their information assets. Overcoming these hurdles is essential for democratizing data streaming and empowering organizations of all sizes to harness the power of real-time data.",[48,1899,1900],{},"Today, StreamNative is launching two products to combat the difficulty:",[40,1902,1904],{"id":1903},"streamnative-serverless","StreamNative Serverless",[48,1906,1907],{},"StreamNative is launching their new Serverless capability, which is an ideal way to begin an organization's streaming journey. StreamNative Serverless delivers instant provisioning, allowing users to get started within seconds, without the need for a complex sizing exercise, which was a major hurdle for trying data streaming technology. This streamlined approach is designed to enhance users' operational efficiency and reduce costs, helping them to get the most value from running StreamNative Cloud while saving time and resources.",[48,1909,1910],{},"StreamNative Serverless utilizes Apache Pulsar as its underlying architecture. Apache Pulsar is designed with features that support multi-tenancy and scalability, which differentiates it from some other data streaming serverless products. Serverless features include autoscaling based on workloads, elastic consumption-based pricing, and a new user interface with enhanced navigation.",[40,1912,1914],{"id":1913},"streamnative-universal-connectivity-uniconn","StreamNative Universal Connectivity (UniConn)",[48,1916,1917],{},"Today StreamNative is also launching Universal Connectivity (UniConn) in Private Preview for StreamNative Cloud. UniConn expands users' data streaming possibilities by democratizing connector experiences for all the streaming workloads. UniConn provides a consistent experience to connect, process, debug, and monitor data pipelines powered by Kafka Connect (an open-source framework) and\u002For Pulsar IO (a framework for building connectivity with Apache Pulsar).",[48,1919,1920],{},"StreamNative has long supported Pulsar IO, a framework for building connectivity with Apache Pulsar. With the launch of UniConn, StreamNative now has the capability to run Kafka Connect-based connectors in StreamNative Cloud. Users will benefit from increased flexibility to choose between Pulsar or Kafka connectors, leveraging the best of both worlds as they are not locked into one ecosystem. By supporting Kafka Connect, StreamNative cloud users gain access to a wide array of pre-built connectors available in the Kafka ecosystem.",[48,1922,1923],{},"With UniConn, customers gain access to over 50 connectors in the StreamNative Hub and more than 100 connectors from the open-source community and other Independent Software Vendors who have developed Kafka-based integrations.",[48,1925,1926],{},"StreamNative is launching five connectors within its built-in catalog, now available with Kafka Connect support in StreamNative Cloud. These connectors enable seamless integration and data flow between Kafka and popular data stores and services:",[339,1928,1929,1932,1935,1938,1941],{},[342,1930,1931],{},"Milvus Sink",[342,1933,1934],{},"MongoDB Sink",[342,1936,1937],{},"MongoDB Source",[342,1939,1940],{},"Iceberg (OSS)",[342,1942,1943],{},"Yugabyte CDC Source",[48,1945,1946,1947],{},"\"StreamNative's mission is to democratize data streaming and make this powerful technology accessible to organizations of all sizes. With the launch of our Universal Connectivity and Serverless offerings, we are breaking down the barriers that have historically made data streaming complex and resource-intensive. By providing a simplified, declarative experience and instant provisioning, we are empowering our customers to unlock the full value of their data without the need for specialized expertise or costly infrastructure.\" -- ",[44,1948,1769],{},[48,1950,1951,1952],{},"\"Partnering with StreamNative has significantly enhanced our ability to deliver real-time data solutions to our clients. Their robust and scalable streaming platform seamlessly integrates with our services, enabling us to process and analyze data with unprecedented speed and efficiency. StreamNative's commitment to innovation and performance aligns perfectly with our mission to provide cutting-edge technology solutions, making them an invaluable partner in driving success for our customers.\" -- ",[44,1953,1954],{},"Parag Kulkarni, Chief Operating Officer at CalSoft",[48,1956,1957,1958],{},"\"StreamNative's data streaming platform handles real-time data at scale with high reliability. It's a critical piece in the data infrastructures of GenAI stack. Together with the high performance vector search of Milvus and Zilliz Cloud (fully managed Milvus), developers can build production-ready AI applications such as RAG chatbots that can utilize time-sensitive information. StreamNative's support for Kafka Connect makes it easy for developers to ingest data to Milvus and Zilliz Cloud via their Kafka Connect connector in real-time. StreamNative's open protocol approach to data streaming complements our mission of building an unstructured data platform, making them an essential partner in our journey to deliver next-generation AI solutions.\" -- ",[44,1959,1960],{},"Jiang Chen, Engineering Lead at Zilliz",[40,1962,1964],{"id":1963},"streamnative-partner-program","StreamNative Partner Program",[48,1966,1967],{},"Today, StreamNative is also launching its partner programs, one for technology and one for services. StreamNative's diverse partner ecosystem is driving adoption across multiple sectors, including AI, stream processing, and various industries. From finance to healthcare, StreamNative partners are implementing tailored data streaming solutions that address sector-specific challenges. This growing ecosystem of technology integrations and domain expertise is continuously evolving, providing users with a rich array of options to implement sophisticated, scalable data streaming solutions that meet their unique needs.",[48,1969,1970],{},"Signed partners to date include Calsoft, Nexamind, Pinecone, Risingwave, Timeplus and Zilliz.",{"title":18,"searchDepth":19,"depth":19,"links":1972},[1973,1974,1975],{"id":1903,"depth":19,"text":1904},{"id":1913,"depth":19,"text":1914},{"id":1963,"depth":19,"text":1964},"2024-09-10","StreamNative announced two product launches and a Partner Program to make data streaming more approachable and cost-effective, including Universal Connectivity and Serverless offerings.",{},"\u002Fpress-releases\u002Fstreamnative-removes-data-streaming-barriers-to-entry","7 min read",{"title":1881,"description":1977},"press-releases\u002Fstreamnative-removes-data-streaming-barriers-to-entry",[1284,1659,1084],"ARyDg2deA1-m5p449tcSICvZ0kadRcgjUTtRcQ-BFKU",{"id":1986,"title":1987,"authors":290,"body":1988,"category":290,"createdAt":290,"date":2053,"description":2054,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":2055,"navigation":7,"order":296,"path":2056,"readingTime":1573,"relatedResources":290,"seo":2057,"stem":2058,"tags":2059,"__hash__":2060},"pressReleases\u002Fpress-releases\u002Fstreamnative-launches-ursa-kafka-compatible-data-streaming-engine.md","StreamNative Launches Ursa, a Kafka-Compatible Data Streaming Engine",{"type":15,"value":1989,"toc":2047},[1990,1998,2001,2004,2008,2011,2015,2018,2022,2025,2031,2037,2041,2044],[48,1991,1992,1589,1995,1997],{},[44,1993,1994],{},"SAN FRANCISCO, May 14, 2024",[55,1996,1103],{"href":1300},", the cloud-native data streaming company founded by the original creators of Apache Pulsar, today launched Ursa, a Kafka-compatible data streaming engine built on top of lakehouse storage. Ursa is advancing Apache Pulsar with added functionality in public and private cloud environments to take data streaming to its next-generation.",[48,1999,2000],{},"Although cloud computing reduced operational cost in the last decade, there has been increased cost in infrastructure, especially networking. For technologies like data streaming and analytics where networking costs roughly 80% of entire IT spend, optimizing networking became a primary concern for many companies. Additionally, most cloud vendors charge high fees for egress traffic which makes it harder to aggregate data from multiple sources. These compounding factors drove the emergence of the \"lakehouse\" paradigm for unified batch and streaming data destinations. Data streaming capabilities must continue advancing to meet modern demands for building real-time analytics on large-scale cloud data platforms.",[48,2002,2003],{},"Ursa leverages Apache Pulsar's architectural principles and benefits, such as separate compute from storage, a rebalance-free architectural design, and cloud-first storage. Yet, Ursa has three significant updates:",[40,2005,2007],{"id":2006},"kafka-api-compatibility","Kafka API Compatibility",[48,2009,2010],{},"Ursa is completely compatible with Kafka API. This allows users to migrate to StreamNative without rewriting applications and continue to use the entire Kafka ecosystem out-of-the-box.",[40,2012,2014],{"id":2013},"a-departure-from-zookeeper-and-bookkeeper","A Departure from ZooKeeper and BookKeeper",[48,2016,2017],{},"Users no longer have to manage ZooKeeper and have the ability to opt out BookKeeper for cost optimized workloads, enabling easier deployments in modern containerized environments, such as Kubernetes. Ursa leverages commodity object storage for cost-effective data replication, eliminating the excessive inter-AZ traffic traditionally seen in other data streaming technologies.",[40,2019,2021],{"id":2020},"lakehouse-first","Lakehouse First",[48,2023,2024],{},"Lakehouse is the destination of all the analytical data, and streaming data will eventually land in a lakehouse. With the Ursa engine, data can be made immediately available in lakehouse formats, eliminating the complex and costly data movement between Pulsar, Kafka and your lakehouse. This allows for faster and cost-effective data processing and analysis with other tools, in addition to no longer needing data tiering between different storage systems. The use of lakehouse storage formats such as Delta Lake, Apache Hudi and Apache Iceberg for long term retention keeps costs to a minimum.",[48,2026,2027,2028],{},"\"We are thrilled to see StreamNative adopt the Delta Lake format in lakehouse storage, a commitment to forward-thinking data management. Delta Lake's popularity reflects robust capabilities, and this integration signifies significant advancement for users.\" -- ",[44,2029,2030],{},"Himanshu Raja, Director of Product Management at Databricks",[48,2032,2033,2034],{},"\"When we founded StreamNative, our vision was to provide truly modern cloud data streaming, leveraging architectural benefits from Apache Pulsar. With Ursa, we've advanced the core engine across dimensions, representing major progress toward our mission of creating the premier cloud-native platform.\" -- ",[44,2035,2036],{},"Sijie Guo, Co-founder & CEO at StreamNative",[40,2038,2040],{"id":2039},"pulsar-virtual-summit-europe-2024","Pulsar Virtual Summit Europe 2024",[48,2042,2043],{},"Today's announcement is made in tandem with the Pulsar Virtual Summit Europe 2024, an event dedicated to Apache Pulsar and the messaging and event streaming community. The conference gathers an international audience of CTOs, CIOs, developers, data architects, data scientists, Apache Pulsar committers and contributors, and the data streaming community, to share experiences, exchange ideas and knowledge.",[48,2045,2046],{},"Prior Pulsar Summit events have featured 200+ interactive sessions by tech leads, open-source developers, software engineers, and software architects from Cisco, Salesforce, Splunk, Verizon Media, Iterable, Yahoo! JAPAN, TIBCO, Intuit, and more. The conferences have garnered 3,000+ attendees around the globe, including attendees from top tech, fintech and media companies, such as AWS, Google, Uber, Microsoft, AMEX, Salesforce, Disney, and Paypal.",{"title":18,"searchDepth":19,"depth":19,"links":2048},[2049,2050,2051,2052],{"id":2006,"depth":19,"text":2007},{"id":2013,"depth":19,"text":2014},{"id":2020,"depth":19,"text":2021},{"id":2039,"depth":19,"text":2040},"2024-05-14","StreamNative launched Ursa, a Kafka-compatible data streaming engine built on top of lakehouse storage, rearchitecting Apache Pulsar for a cost-conscious data streaming era.",{},"\u002Fpress-releases\u002Fstreamnative-launches-ursa-kafka-compatible-data-streaming-engine",{"title":1987,"description":2054},"press-releases\u002Fstreamnative-launches-ursa-kafka-compatible-data-streaming-engine",[379,1284,1084],"hWcDCAfJYfXO3jA0NDkVJBLbQtZEcUUaMSCXbWqkNhs",{"id":2062,"title":2063,"authors":290,"body":2064,"category":290,"createdAt":290,"date":2088,"description":2089,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":2090,"navigation":7,"order":296,"path":2091,"readingTime":2092,"relatedResources":290,"seo":2093,"stem":2094,"tags":2095,"__hash__":2096},"pressReleases\u002Fpress-releases\u002Fstreamnative-named-a-leader-in-gigaom-radar-report-for-streaming-data-platforms.md","StreamNative Named a Leader in GigaOm Radar Report for Streaming Data Platforms",{"type":15,"value":2065,"toc":2086},[2066,2074,2077,2080,2083],[48,2067,2068,1589,2071,2073],{},[44,2069,2070],{},"SAN FRANCISCO, April 24, 2024",[55,2072,1103],{"href":1300},", the cloud-native data streaming company, today announced it has been named a leader in the 2024 GigaOm Radar Report for Streaming Data Platforms. The report recognized StreamNative as a top performer in processing capability, diverse ingestion experience, security controls and compliance, and temporal features.",[48,2075,2076],{},"The GigaOm Radar Report evaluated 16 vendors across key capabilities including event stream platform connectivity, high-volume data handling, observability, transformations and complex event processing, and real-time data processing.",[48,2078,2079],{},"\"StreamNative is a dedicated, standalone solution for streaming data processing and analysis. Being architected on one of the most credible streaming data processors and messaging services, Apache Pulsar enables it to perform well on our criteria, and it's positioned as a leader in this report,\" said GigaOm analyst Andrew Brust.",[48,2081,2082],{},"StreamNative's ONE Platform is built on Apache Pulsar, an open-source distributed messaging and streaming technology designed for large-scale datasets. The cloud-native architecture prioritizes multi-tenancy to reduce costs and implements a two-tiered architecture that segregates compute and storage by categorizing data based on activity levels.",[48,2084,2085],{},"\"Today's organizations are in urgent need of leveraging real-time data for business value, be it customer insights, monitoring, analysis, and more,\" said Sijie Guo, Co-founder and CEO at StreamNative. \"Being recognized as a leader in the GigaOm Radar Report for Streaming Data Platforms validates our approach to building a cloud-native, cost-efficient platform that meets the demands of modern data-driven enterprises.\"",{"title":18,"searchDepth":19,"depth":19,"links":2087},[],"2024-04-24","StreamNative has been named a leader in the 2024 GigaOm Radar Report for Streaming Data Platforms, recognized as a top performer in processing capability, diverse ingestion experience, security controls and compliance, and temporal features.",{},"\u002Fpress-releases\u002Fstreamnative-named-a-leader-in-gigaom-radar-report-for-streaming-data-platforms","3 min read",{"title":2063,"description":2089},"press-releases\u002Fstreamnative-named-a-leader-in-gigaom-radar-report-for-streaming-data-platforms",[1284,1352],"7M50-EE21lL8JbBz7javtvpGjcknqBwX6iYSnnIuj-U",{"id":2098,"title":2099,"authors":290,"body":2100,"category":290,"createdAt":290,"date":2180,"description":2104,"extension":8,"featured":294,"image":2181,"isDraft":294,"link":290,"mediaContact":1278,"meta":2182,"navigation":7,"order":296,"path":2183,"readingTime":1573,"relatedResources":290,"seo":2184,"stem":2185,"tags":2186,"__hash__":2187},"pressReleases\u002Fpress-releases\u002Fstreamnative-simplifies-data-streaming-with-new-apache-kafka-offering.md","StreamNative Simplifies Data Streaming with New Apache Kafka Offering",{"type":15,"value":2101,"toc":2177},[2102,2105,2111,2114,2117,2120,2123,2126,2137,2140,2144],[48,2103,2104],{},"Generally available Kafka on StreamNative streamlines Kafka workloads providing built-in multi-tenancy, geo-replication, and tiered storage.",[48,2106,2107,2108,2110],{},"SAN FRANCISCO, March 14, 2024 - ",[55,2109,1103],{"href":1300},", the cloud-native messaging and event streaming company powered by Apache Pulsar, has announced the generally available version of Kafka on StreamNative available on ONE StreamNative Platform.",[48,2112,2113],{},"ONE StreamNative Platform is an agnostic data streaming platform compatible with multiple streaming and messaging protocols from a single platform. This simplifies complex data streaming by allowing users to seamlessly choose the data streaming technology that best fits their needs. By adding Kafka protocol, the platform allows users to run Kafka workloads on a robust and scalable platform while lowering costs without rewriting applications.",[48,2115,2116],{},"“Kafka protocol has been the ubiquitous standard in the streaming market. However, it was not architected to run at scale in a cost-effective manner since it misses key features such as multi-tenancy and two-tiered architecture that separates compute and storage,” said Sijie Guo, Co-founder & CEO at StreamNative. “We added Kafka protocol on our platform so that Kafka users can run the same streaming workloads without migrating or rewriting their application code. In the past, Apache Pulsar has been considered an alternative to Kafka, but with Kafka on StreamNative, Apache Pulsar can complement Kafka, allowing users to run the same Kafka workload more efficiently. This latest addition is yet another prime example of the versatile and valuable environment Apache Pulsar provides.”",[48,2118,2119],{},"Despite its many benefits, Kafka also presents users with challenges regarding deploying and maintaining workloads. Due to heavy migration costs and downtime, migrating streaming workloads to other alternatives is not an option for many users.  Kafka on StreamNative alleviates that pain by simplifying the architecture and allowing users to consolidate 10’s of Kafka clusters into a single Pulsar cluster, with no disruptions for the developers.",[48,2121,2122],{},"With the addition of Apache Kafka on StreamNative, users can run the same Kafka workloads for event or batch stream processing at scale without limitations such as multi-tenancy, partitioning and data retention.  Kafka on StreamNative makes it easier for enterprises using Kafka to leverage Pulsar's enhanced capabilities, including multi-tenancy, geo-replication, tiered storage, and unmatched scalability and elasticity. StreamNative for Kafka brings these capabilities, along with support for large numbers of topics, to organizations that have significant investments in Apache Kafka, the pervasive distributed event store and stream-processing platform. StreamNative for Kafka lets users keep and use Kafka’s APIs, wire protocol and even its connectors, while being able to take full advantage of Apache Pulsar and its own capabilities, on the backend.",[48,2124,2125],{},"Kafka on StreamNative offers users",[339,2127,2128,2131,2134],{},[342,2129,2130],{},"Scale without limit: Run your Kafka workloads more efficiently on Apache Pulsar without any migration headaches. Built-in multi-tenancy and broker auto-rebalancing allow you to scale Kafka workloads without worrying about maintenance overheads.‍",[342,2132,2133],{},"Always On: Real-time data is now part of all your mission-critical applications. Your data needs to be on all the time. Leverage built-in geo replication functionality to replicate your Kafka workloads seamlessly around the globe.",[342,2135,2136],{},"Lower TCO: Dramatically reduce data streaming costs and management complexities by consolidating 10’s of kafka clusters into a single pulsar cluster.",[48,2138,2139],{},"To learn more about Kafka on StreamNative, see additional resources below.",[40,2141,2143],{"id":2142},"resources","Resources",[339,2145,2146,2154,2162,2169],{},[342,2147,2148,2149],{},"Webinar: ",[55,2150,2153],{"href":2151,"rel":2152},"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Zkmhuuqz1FI",[264],"Simplifying Data Streaming with Apache Kafka on StreamNative Platform",[342,2155,2156,2157],{},"Blog: ",[55,2158,2161],{"href":2159,"rel":2160},"http:\u002F\u002Fstreamnative.io\u002Fblog\u002Foptimize-and-scale-how-kafka-on-streamnative-transforms-your-data-streaming-platform",[264],"Optimize and Scale: How Kafka-on-StreamNative Transforms Your Data Streaming Platform",[342,2163,2164,2165],{},"Whitepaper: ",[55,2166,2168],{"href":2167},"\u002Fwhitepapers\u002Fdecoding-kafka-challenges-addressing-common-pain-points-in-kafka-deployments","Decoding Kafka Challenges: Addressing Common Pain Points in Kafka Deployments",[342,2170,2171,2172],{},"Demo: ",[55,2173,2176],{"href":2174,"rel":2175},"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=eRuvy0F69Uk&list=PL7-BmxsE3q4Vcs4_i1zTZ4nWL6Y39N91x",[264],"Kafka on StreamNative tutorial from StreamNative Academy",{"title":18,"searchDepth":19,"depth":19,"links":2178},[2179],{"id":2142,"depth":19,"text":2143},"2024-03-13","\u002Fimgs\u002Fblogs\u002F664da1b58905a31c14ef224f_66427ce8a899003a44963824_SN-SM-UrsaAnnounce.png",{},"\u002Fpress-releases\u002Fstreamnative-simplifies-data-streaming-with-new-apache-kafka-offering",{"title":2099,"description":2104},"press-releases\u002Fstreamnative-simplifies-data-streaming-with-new-apache-kafka-offering",[1084,1284],"_nlY_bn8X4IcnFQF9dINCEEOPq7Od7zLhy_YmqPKfyA",{"id":2189,"title":2190,"authors":290,"body":2191,"category":290,"createdAt":290,"date":2224,"description":2225,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":2226,"navigation":7,"order":296,"path":2227,"readingTime":2092,"relatedResources":290,"seo":2228,"stem":2229,"tags":2230,"__hash__":2232},"pressReleases\u002Fpress-releases\u002Fstreamnative-cloud-for-kafka-managed-kafka-service.md","StreamNative Cloud for Kafka: A Cloud-Native Managed Kafka Service Without the Limits of Kafka",{"type":15,"value":2192,"toc":2222},[2193,2201,2204,2207,2210,2213,2216,2219],[48,2194,2195,1589,2198,2200],{},[44,2196,2197],{},"SAN FRANCISCO, April 21, 2022",[55,2199,1103],{"href":1300},", the cloud-native messaging and streaming platform founded by the original developers of Apache Pulsar, today announced StreamNative Cloud for Kafka, a managed solution that supports the Kafka protocol but operates Apache Pulsar under the hood.",[48,2202,2203],{},"StreamNative Cloud for Kafka is a turn-key managed solution that overcomes current limitations of existing Kafka clusters. Organizations can use a fully-compliant implementation of the Kafka protocol to alleviate Kafka pain points and to leverage the capabilities of Pulsar, one use case or team at a time.",[48,2205,2206],{},"\"Kafka is widely adopted, but organizations face challenges with tens of thousands of granular topics and poor cluster utilization. StreamNative Cloud for Kafka removes current Kafka limitations without requiring application code changes,\" said Addison Higham, Head of Product at StreamNative.",[48,2208,2209],{},"Apache Pulsar, originally developed by StreamNative founders at Yahoo!, improves on Kafka architecture with built-in multi-tenancy, geo-replication, support for hundreds of thousands of partitions and topics with low latency, and support for worker queues and diverse messaging patterns.",[48,2211,2212],{},"Apache Pulsar ranked as a top 5 Apache Software Foundation project in 2021 regarding engagement and averaged more monthly active contributors than Apache Kafka for most of the past 18 months.",[48,2214,2215],{},"StreamNative Cloud for Kafka is built on open-source Kafka on Pulsar (KoP) technology. Tencent, the largest Internet products and services provider in China, is both an adopter and contributor to the project.",[48,2217,2218],{},"\"KoP streamlined our migration process, allowing focus on Pulsar's features instead of Kafka workarounds,\" said Chao Zhang, Head of MQ & InLong Team at Tencent Big Data.",[48,2220,2221],{},"StreamNative Cloud for Kafka is available via private beta.",{"title":18,"searchDepth":19,"depth":19,"links":2223},[],"2022-04-21","StreamNative announces StreamNative Cloud for Kafka, a managed solution that supports the Kafka protocol powered by Apache Pulsar, removing current Kafka limitations without requiring application code changes.",{},"\u002Fpress-releases\u002Fstreamnative-cloud-for-kafka-managed-kafka-service",{"title":2190,"description":2225},"press-releases\u002Fstreamnative-cloud-for-kafka-managed-kafka-service",[1084,2231,1659],"Apache Pulsar","5cH3kxX8PdR6I0LQkATPamwwbd9TUv-tvt7fZo8fDjs",{"id":2234,"title":2235,"authors":290,"body":2236,"category":290,"createdAt":290,"date":2290,"description":2291,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":2292,"navigation":7,"order":296,"path":2293,"readingTime":1873,"relatedResources":290,"seo":2294,"stem":2295,"tags":2296,"__hash__":2297},"pressReleases\u002Fpress-releases\u002Foriginal-creators-of-apache-pulsar-raise-23m-series-a.md","Original Creators of Apache Pulsar Raise $23M Series-A for StreamNative, Round Led by Prosperity7 Ventures",{"type":15,"value":2237,"toc":2285},[2238,2246,2249,2252,2256,2259,2262,2265,2269,2272,2275,2278,2282],[48,2239,2240,1589,2243,2245],{},[44,2241,2242],{},"SAN FRANCISCO, September 14, 2021",[55,2244,1103],{"href":1300},", the unified messaging and streaming platform founded by the original developers of Apache Pulsar, today announced a $23 million Series-A round led by Prosperity7 Ventures, the diversified growth fund of Aramco Ventures, with participation from seed investors. The company provides a platform enabling organizations to manage the entire lifecycle of data in any cloud environment across the enterprise.",[48,2247,2248],{},"\"When the original creators of Apache Pulsar join forces under StreamNative, you can safely bet that StreamNative will continue to develop the platform to achieve stronger performance,\" said Ayar Tayeb, Executive Managing Director of Prosperity7 Ventures.",[48,2250,2251],{},"The investment reflects market movement from legacy messaging technologies to real-time data and streaming on Kubernetes. StreamNative delivers an enterprise-ready solution helping organizations transition to event-driven architectures. The platform supports cloud managed and hosted environments across fintech, banking, and e-commerce sectors. Current customers include Iterable, Narvar, Applied Materials, and Flipkart.",[40,2253,2255],{"id":2254},"leadership-background","Leadership Background",[48,2257,2258],{},"StreamNative was founded by Sijie Guo and Matteo Merli, who originally developed advanced real-time messaging and streaming technologies at Yahoo! in 2010. Since then, the two have continued to advance real-time streaming and messaging in top technology companies, including at Twitter and Splunk, and both are active members of the Apache Pulsar PMC.",[48,2260,2261],{},"\"We originally built Pulsar to solve global messaging challenges at Yahoo!, but it quickly became clear this could define the future of event-driven unified messaging,\" said Sijie Guo, Co-founder and CEO of StreamNative.",[48,2263,2264],{},"The StreamNative team comprises over half of monthly active Pulsar contributors. The organization hosts global Pulsar Summits attracting 80+ speakers and 1,600+ attendees annually and provides developer training through StreamNative Academy.",[40,2266,2268],{"id":2267},"funding-applications","Funding Applications",[48,2270,2271],{},"The investment will advance streaming, stream storage, and messaging technologies. Funding enables StreamNative to triple global staff across departments to accelerate product development, ecosystem expansion, and customer acquisition.",[48,2273,2274],{},"Ecosystem initiatives include integrating Data Lakehouse technologies like Databricks' Delta Lake and Apache Hudi for batch access to Pulsar-stored data. The team is developing connectors for Apache Flink and Apache Spark.",[48,2276,2277],{},"\"There's really no one ahead of StreamNative when it comes to unified messaging and streaming in the cloud,\" said Ankush Goyal, VP of Engineering at Narvar.",[40,2279,2281],{"id":2280},"aws-marketplace-availability","AWS Marketplace Availability",[48,2283,2284],{},"StreamNative Cloud is immediately available on AWS Marketplace, enabling companies to leverage Pulsar on the largest cloud provider within minutes with unified billing.",{"title":18,"searchDepth":19,"depth":19,"links":2286},[2287,2288,2289],{"id":2254,"depth":19,"text":2255},{"id":2267,"depth":19,"text":2268},{"id":2280,"depth":19,"text":2281},"2021-09-14","StreamNative raises $23 million in Series-A funding led by Prosperity7 Ventures, the diversified growth fund of Aramco Ventures, to advance streaming, stream storage, and messaging technologies.",{},"\u002Fpress-releases\u002Foriginal-creators-of-apache-pulsar-raise-23m-series-a",{"title":2235,"description":2291},"press-releases\u002Foriginal-creators-of-apache-pulsar-raise-23m-series-a",[1285,2231],"eJZXtTm5A507_MU_3k4hAtl5jfxE2NOB1rXOmi0txko",{"id":2299,"title":2300,"authors":290,"body":2301,"category":290,"createdAt":290,"date":2352,"description":2353,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":2354,"navigation":7,"order":296,"path":2355,"readingTime":2092,"relatedResources":290,"seo":2356,"stem":2357,"tags":2358,"__hash__":2359},"pressReleases\u002Fpress-releases\u002Fstreamnative-platform-enterprise-messaging-streaming.md","StreamNative Announces StreamNative Platform, An Enterprise Messaging and Streaming Platform Powered by Apache Pulsar",{"type":15,"value":2302,"toc":2348},[2303,2311,2315,2318,2321,2324,2327,2331,2334],[48,2304,2305,1589,2308,2310],{},[44,2306,2307],{},"SAN FRANCISCO, June 16, 2021",[55,2309,1103],{"href":1300},", a cloud-native messaging and event streaming company powered by Apache Pulsar, today announces the launch of StreamNative Platform. StreamNative Platform is an enterprise-ready, self-managed software offering of Apache Pulsar.",[40,2312,2314],{"id":2313},"enabling-new-use-cases","Enabling New Use Cases",[48,2316,2317],{},"For companies who have not moved their infrastructure to the cloud, StreamNative Platform enables them to run an enterprise-grade Pulsar service within their environment, offering complete data privacy and data ownership.",[48,2319,2320],{},"\"We have seen major adoption since we launched StreamNative Cloud in 2020, but not everyone has made the move to the cloud. There are certain industries, such as financial services and government, where cloud might not be the best fit today. StreamNative Platform is able to extend Pulsar enterprise capabilities to their environment,\" said Sijie Guo, CEO of StreamNative.",[48,2322,2323],{},"StreamNative Platform also enables hybrid cloud strategies. With StreamNative Platform, organizations can stream data between their on-premise data centers and cloud, creating a seamless experience across different environments.",[48,2325,2326],{},"\"We launched StreamNative Cloud to enable companies to execute a multi-cloud strategy. With StreamNative Platform, we extend our vision from multi-cloud to hybrid cloud,\" said Guo.",[40,2328,2330],{"id":2329},"why-streamnative-platform","Why StreamNative Platform?",[48,2332,2333],{},"StreamNative Platform is a turn-key enterprise distribution of Apache Pulsar, including enterprise features such as:",[339,2335,2336,2339,2342,2345],{},[342,2337,2338],{},"Enterprise-ready authentication and authorization, including OAuth2 support, structured audit log, vault integration, and more",[342,2340,2341],{},"Pulsar Kubernetes Operators that manages and operates Pulsar clusters on Kubernetes",[342,2343,2344],{},"Function Mesh that manages and runs Pulsar Functions and connectors on Kubernetes",[342,2346,2347],{},"KoP, AoP, and MoP that provides full compatibility with the Kafka, AMQP, and MQTT API",{"title":18,"searchDepth":19,"depth":19,"links":2349},[2350,2351],{"id":2313,"depth":19,"text":2314},{"id":2329,"depth":19,"text":2330},"2021-06-16","StreamNative launches StreamNative Platform, an enterprise-ready, self-managed software offering of Apache Pulsar that enables companies to run an enterprise-grade Pulsar service within their environment.",{},"\u002Fpress-releases\u002Fstreamnative-platform-enterprise-messaging-streaming",{"title":2300,"description":2353},"press-releases\u002Fstreamnative-platform-enterprise-messaging-streaming",[2231,1284],"WEkfmsN2-55-LAw5hzROywnm63QpX6dUL5XBRAwBxKM",{"id":2361,"title":2362,"authors":290,"body":2363,"category":290,"createdAt":290,"date":2419,"description":2420,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":2421,"navigation":7,"order":296,"path":2422,"readingTime":2092,"relatedResources":290,"seo":2423,"stem":2424,"tags":2425,"__hash__":2426},"pressReleases\u002Fpress-releases\u002Fapache-pulsar-adoption-skyrockets-pulsar-summit-2021.md","Apache Pulsar Adoption Skyrockets as Pulsar Summit North America 2021 Demonstrates Significant Momentum in Messaging and Event Streaming Community",{"type":15,"value":2364,"toc":2414},[2365,2373,2377,2380,2394,2398,2401,2404,2407,2411],[48,2366,2367,1589,2370,2372],{},[44,2368,2369],{},"SAN FRANCISCO, June 14, 2021",[55,2371,1103],{"href":1300},", a cloud-native messaging and event streaming company powered by Apache Pulsar, today announced the release of the Apache Pulsar User Survey Report 2021. The report reveals significant growth in Apache Pulsar adoption and community engagement over the past year.",[40,2374,2376],{"id":2375},"key-findings","Key Findings",[48,2378,2379],{},"The Apache Pulsar User Survey Report 2021 highlights substantial momentum in the messaging and event streaming community:",[339,2381,2382,2385,2388,2391],{},[342,2383,2384],{},"Apache Pulsar nearly doubled production deployments",[342,2386,2387],{},"Contributors increased by 46%, reaching 400",[342,2389,2390],{},"The project earned 8.8K GitHub stars",[342,2392,2393],{},"Apache Pulsar recently surpassed Apache Kafka in monthly active contributors",[40,2395,2397],{"id":2396},"pulsar-summit-north-america-2021","Pulsar Summit North America 2021",[48,2399,2400],{},"The Apache Pulsar User Survey 2021 release coincides with Pulsar Summit Virtual North America 2021, taking place June 16-17. The conference gathers CTOs\u002FCIOs, developers, data architects, data scientists, Apache Pulsar committers\u002Fcontributors, and the messaging community.",[48,2402,2403],{},"The two-day event is presented by StreamNative and Splunk and features more than 35 sessions by tech leads, open-source developers, software engineers, and software architects from companies including Intuit, Splunk, Verizon Media, Iterable, Flipkart, and Narvar.",[48,2405,2406],{},"\"Today, companies need unified messaging and streaming capabilities to run their business,\" said Matteo Merli, CTO of StreamNative.",[40,2408,2410],{"id":2409},"about-apache-pulsar","About Apache Pulsar",[48,2412,2413],{},"Apache Pulsar is a cloud-native, distributed messaging and streaming platform capable of managing trillions of events daily. Originally developed at Yahoo!, Pulsar has grown into one of the most active Apache Software Foundation projects, with a vibrant and rapidly expanding global community.",{"title":18,"searchDepth":19,"depth":19,"links":2415},[2416,2417,2418],{"id":2375,"depth":19,"text":2376},{"id":2396,"depth":19,"text":2397},{"id":2409,"depth":19,"text":2410},"2021-06-14","StreamNative releases the Apache Pulsar User Survey Report 2021, showing production deployments nearly doubled, contributors increased by 46%, and Apache Pulsar surpassed Apache Kafka in monthly active contributors.",{},"\u002Fpress-releases\u002Fapache-pulsar-adoption-skyrockets-pulsar-summit-2021",{"title":2362,"description":2420},"press-releases\u002Fapache-pulsar-adoption-skyrockets-pulsar-summit-2021",[2231,1577],"LxPgTGjH3uokT7KQFq1_7bu_xYbsBNKxzmYlPgltDEw",{"id":2428,"title":2429,"authors":290,"body":2430,"category":290,"createdAt":290,"date":2492,"description":2493,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":2494,"navigation":7,"order":296,"path":2495,"readingTime":2092,"relatedResources":290,"seo":2496,"stem":2497,"tags":2498,"__hash__":2499},"pressReleases\u002Fpress-releases\u002Fstreamnative-launches-pulsar-as-a-service-on-aws.md","StreamNative Launches the Industry's First Complete Pulsar-as-a-Service Offering on AWS",{"type":15,"value":2431,"toc":2488},[2432,2440,2443,2457,2460,2464,2467,2471,2474],[48,2433,2434,1589,2437,2439],{},[44,2435,2436],{},"SAN FRANCISCO, January 19, 2021",[55,2438,1103],{"href":1300},", the cloud-native event streaming company powered by Apache Pulsar, today announced that its fully managed Pulsar-as-a-Service offering, StreamNative Cloud, is now available on AWS. The expansion of StreamNative Cloud Hosted to AWS makes the offering available to more users and enables AWS cloud customers to more deeply integrate Pulsar with the broader AWS offerings.",[48,2441,2442],{},"StreamNative Cloud provides a scalable, resilient, and secure messaging and event streaming platform for enterprises. The company offers two deployment options:",[339,2444,2445,2451],{},[342,2446,2447,2450],{},[44,2448,2449],{},"Cloud-Hosted:"," Enables users to deploy a StreamNative-hosted Pulsar cluster on their chosen cloud provider within minutes, with cluster provisioning fully automated and StreamNative managing both the infrastructure and software.",[342,2452,2453,2456],{},[44,2454,2455],{},"Cloud-Managed:"," Delivers a fully managed Pulsar cluster deployable to public or private cloud environments, customized to user requirements.",[48,2458,2459],{},"Since its initial release, StreamNative Cloud has experienced rapid customer adoption, powering applications for use cases including order and delivery tracking, customer communication, and real-time data lakes.",[40,2461,2463],{"id":2462},"pulsar-flink-integration-on-aws","Pulsar + Flink Integration on AWS",[48,2465,2466],{},"The launch on AWS provides not only another cloud option for customers, it also enables customers to integrate Pulsar with AWS-managed offerings, such as Kinesis Data Analytics for Flink and Flink on Amazon EMR. This combination allows organizations to create unified data architectures for real-time operations. Flink provides batch and stream processing in a single engine, while Pulsar and BookKeeper enable storage as a single source-of-truth accessible through streams, pub-sub interfaces, and batch segments.",[40,2468,2470],{"id":2469},"new-features","New Features",[48,2472,2473],{},"StreamNative also announced upcoming features for StreamNative Cloud:",[1496,2475,2476,2482],{},[342,2477,2478,2481],{},[44,2479,2480],{},"Tiered Storage"," allows offloading data to external, cost-effective storage, enabling infinite stream retention without API or performance changes.",[342,2483,2484,2487],{},[44,2485,2486],{},"Pulsar Functions"," brings serverless computation to event streaming through an accessible interface for transforming, filtering, and routing data.",{"title":18,"searchDepth":19,"depth":19,"links":2489},[2490,2491],{"id":2462,"depth":19,"text":2463},{"id":2469,"depth":19,"text":2470},"2021-01-19","StreamNative announces that its fully managed Pulsar-as-a-Service offering, StreamNative Cloud, is now available on AWS, enabling deeper integration with the broader AWS ecosystem.",{},"\u002Fpress-releases\u002Fstreamnative-launches-pulsar-as-a-service-on-aws",{"title":2429,"description":2493},"press-releases\u002Fstreamnative-launches-pulsar-as-a-service-on-aws",[2231,1659],"z1bPGIn3y6T8wcvB55qHqRAMVmjw1VSF6X79roVew7o",{"id":2501,"title":2502,"authors":290,"body":2503,"category":290,"createdAt":290,"date":2564,"description":2565,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":2566,"navigation":7,"order":296,"path":2567,"readingTime":2092,"relatedResources":290,"seo":2568,"stem":2569,"tags":2570,"__hash__":2571},"pressReleases\u002Fpress-releases\u002Fapache-pulsar-summit-asia-2020.md","Apache Pulsar Summit Asia: A Deep Dive Into the Tech & Trends Driving Pulsar Adoption",{"type":15,"value":2504,"toc":2560},[2505,2513,2517,2520,2552,2554,2557],[48,2506,2507,1589,2510,2512],{},[44,2508,2509],{},"SAN FRANCISCO, November 25, 2020",[55,2511,1103],{"href":1300},", a cloud-native event streaming company powered by Apache Pulsar, today announced details on the inaugural Pulsar Summit Asia 2020. The two-day event takes place November 27-28 and features more than 55 live sessions from technology leaders and open-source developers representing organizations including Splunk, Yahoo! JAPAN, TIBCO, China Mobile, Tencent, Dada Group, KingSoft Cloud, Tuya Smart, and PingCAP.",[40,2514,2516],{"id":2515},"featured-sessions","Featured Sessions",[48,2518,2519],{},"The summit highlights five key presentations:",[1496,2521,2522,2528,2534,2540,2546],{},[342,2523,2524,2527],{},[44,2525,2526],{},"Running Apache Pulsar on Tencent Cloud"," -- Lin Lin, Senior Engineer at Tencent Cloud, discusses how Pulsar addresses message queue challenges on their platform.",[342,2529,2530,2533],{},[44,2531,2532],{},"Apache Pulsar at Yahoo! JAPAN"," -- Nozomi Kurihara, Manager of the Messaging Platform team, shares production use cases and operational insights for large-scale data streams.",[342,2535,2536,2539],{},[44,2537,2538],{},"Apache Pulsar Helps Dada Group Build Real-Time Retail Services"," -- Architects Qinghua Zhang and Mingming Wan detail implementation and future plans.",[342,2541,2542,2545],{},[44,2543,2544],{},"Powering Ping An Securities using Apache Pulsar"," -- Xiang Chen, IT Architect, explains how Pulsar enabled high-availability messaging with low latency.",[342,2547,2548,2551],{},[44,2549,2550],{},"Convergence of Messaging, Streaming, and Storage"," -- Sijie Guo, Co-founder and CEO of StreamNative, explores community adoption trends and industry convergence.",[40,2553,2410],{"id":2409},[48,2555,2556],{},"Apache Pulsar is a cloud-native, distributed messaging and streaming platform managing hundreds of billions of daily events. Originally developed at Yahoo!, it became a top-level Apache Project in September 2018. The platform boasts over 10 million downloads on Docker Hub, nearly 7,000 GitHub stars, and 330+ contributors. Recent adopters include Splunk, Iterable, Yum China, and Dada Group.",[48,2558,2559],{},"Companies adopt Pulsar for its combined queuing and streaming capabilities, unified storage, cloud-native operations, performance, scalability, and ecosystem support.",{"title":18,"searchDepth":19,"depth":19,"links":2561},[2562,2563],{"id":2515,"depth":19,"text":2516},{"id":2409,"depth":19,"text":2410},"2020-11-25","StreamNative announces the inaugural Pulsar Summit Asia 2020, a two-day event featuring more than 55 live sessions from technology leaders including Splunk, Tencent, Yahoo! JAPAN, and TIBCO.",{},"\u002Fpress-releases\u002Fapache-pulsar-summit-asia-2020",{"title":2502,"description":2565},"press-releases\u002Fapache-pulsar-summit-asia-2020",[2231,1577],"mcuqgFYZLyqGMjN1zViyEKWB7Z0ruMgfhThN3DPF1gk",{"id":2573,"title":2574,"authors":290,"body":2575,"category":290,"createdAt":290,"date":2615,"description":2616,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":2617,"navigation":7,"order":296,"path":2618,"readingTime":2092,"relatedResources":290,"seo":2619,"stem":2620,"tags":2621,"__hash__":2622},"pressReleases\u002Fpress-releases\u002Fpulsar-adoption-continues-free-pulsar-as-a-service-launches.md","Apache Pulsar Adoption Continues to Accelerate; Free 'Pulsar as a Service' Launches for All Developers",{"type":15,"value":2576,"toc":2611},[2577,2583,2587,2590,2593,2597,2602,2605,2608],[48,2578,2579,2582],{},[44,2580,2581],{},"SAN FRANCISCO, October 27, 2020"," -- Apache Pulsar, an open-source, cloud-native, distributed messaging and streaming platform that manages hundreds of billions of events per day, continues to gain momentum among major technology companies including Yahoo!, Tencent, Iterable, and Splunk. The platform offers horizontal scalability, cloud-native infrastructure, automatic data rebalancing, multi-tenancy, geo-replication, and tiered storage capabilities.",[40,2584,2586],{"id":2585},"splunk-adopts-apache-pulsar","Splunk Adopts Apache Pulsar",[48,2588,2589],{},"At Splunk's .conf20 conference, Chief Product Officer Sendur Sellakumar announced the company's transition from Kafka to Pulsar for its Data Stream Processor (DSP), calling it \"our bet on long term architecture for enterprise-grade multi-tenant streaming.\"",[48,2591,2592],{},"Splunk's strategic adoption of Pulsar highlights the platform's ability to meet the demanding requirements of enterprise-grade, multi-tenant streaming workloads at scale.",[40,2594,2596],{"id":2595},"streamnative-launches-free-cloud-offering","StreamNative Launches Free Cloud Offering",[48,2598,2599,2601],{},[55,2600,1103],{"href":1300}," today unveiled a free cloud offering for Apache Pulsar, enabling developers to explore and run small-scale production Pulsar clusters without requiring a credit card or organizational approvals.",[48,2603,2604],{},"\"When we launched StreamNative Cloud, we wanted to remove barriers to adoption for Pulsar. While it was a great fit for companies that were further along in their adoption journey, there was high demand from people who were just getting started. Namely, developers who wanted to try Pulsar without having to put down a credit card or get approvals. The free offering makes this possible,\" said Sijie Guo, CEO and Co-founder of StreamNative.",[48,2606,2607],{},"Guo is one of the original developers of Apache Pulsar and Apache BookKeeper, and an Apache PMC member for both projects.",[48,2609,2610],{},"\"We can launch a resilient, secure, scalable event streaming service within minutes. It's straightforward and extremely easy to use,\" said Weisheng Xie, Chief Data Scientist at Bestpay.",{"title":18,"searchDepth":19,"depth":19,"links":2612},[2613,2614],{"id":2585,"depth":19,"text":2586},{"id":2595,"depth":19,"text":2596},"2020-10-27","StreamNative launches a free cloud offering for Apache Pulsar as Splunk announces adoption of Pulsar for its Data Stream Processor, replacing Kafka.",{},"\u002Fpress-releases\u002Fpulsar-adoption-continues-free-pulsar-as-a-service-launches",{"title":2574,"description":2616},"press-releases\u002Fpulsar-adoption-continues-free-pulsar-as-a-service-launches",[2231,1659,1084],"ZTC3udEr5kvKdqluFDRBajy-lqWW92Tm7kYa9hSmceQ",{"id":2624,"title":2625,"authors":290,"body":2626,"category":290,"createdAt":290,"date":2701,"description":2702,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":2703,"navigation":7,"order":296,"path":2704,"readingTime":2092,"relatedResources":290,"seo":2705,"stem":2706,"tags":2707,"__hash__":2708},"pressReleases\u002Fpress-releases\u002Fstreamnative-launches-cloud-offering.md","StreamNative Launches Its Cloud Offering to Further Democratize Real-Time Messaging and Streaming",{"type":15,"value":2627,"toc":2696},[2628,2636,2639,2642,2646,2651,2656,2660,2663,2689,2693],[48,2629,2630,1589,2633,2635],{},[44,2631,2632],{},"SAN FRANCISCO, August 18, 2020",[55,2634,1103],{"href":1300},", a cloud-native event streaming company powered by Apache Pulsar, today announced the launch of StreamNative Cloud, a fully managed Apache Pulsar service designed to help organizations transition to event-driven architectures.",[48,2637,2638],{},"StreamNative Cloud is a fully managed, scalable messaging and event streaming service that provides a turnkey solution for enterprise companies looking to build and launch event streaming applications in the cloud. The platform enables developers to create Pulsar clusters in minutes, handling software updates, configurations, and security patches automatically.",[48,2640,2641],{},"\"StreamNative Cloud helps companies to adopt and integrate Pulsar, without the heavy-lifting,\" the company announced. This turnkey solution allows teams to focus on application development rather than system maintenance.",[40,2643,2645],{"id":2644},"service-options","Service Options",[48,2647,2648,2650],{},[44,2649,2449],{}," A StreamNative-hosted Pulsar cluster deployable to major cloud providers (Google Cloud initially, with AWS forthcoming). Infrastructure and software management are fully automated, with cluster provisioning completed within minutes.",[48,2652,2653,2655],{},[44,2654,2455],{}," A fully-managed Pulsar cluster customizable for public or private cloud environments, ensuring data remains within user-controlled infrastructure while StreamNative handles deployment, upgrades, and maintenance. Organizations can contact StreamNative directly for immediate implementation.",[40,2657,2659],{"id":2658},"ecosystem-support","Ecosystem Support",[48,2661,2662],{},"StreamNative Cloud builds on Apache Pulsar's open-source foundation, supporting:",[339,2664,2665,2671,2677,2683],{},[342,2666,2667,2670],{},[44,2668,2669],{},"Kafka-on-Pulsar"," for Kafka 2.0 protocol integration",[342,2672,2673,2676],{},[44,2674,2675],{},"AMQP-on-Pulsar"," for AMQP-0.9.1 applications",[342,2678,2679,2682],{},[44,2680,2681],{},"MQTT-on-Pulsar"," for IoT applications",[342,2684,2685,2688],{},[44,2686,2687],{},"StreamNative Hub"," for connections and integrations",[40,2690,2692],{"id":2691},"growing-enterprise-adoption","Growing Enterprise Adoption",[48,2694,2695],{},"The announcement highlights growing enterprise adoption of Apache Pulsar among companies including OVHCloud, Tencent, Splunk, and Verizon Media, following Pulsar's designation as an Apache top-level project in 2018.",{"title":18,"searchDepth":19,"depth":19,"links":2697},[2698,2699,2700],{"id":2644,"depth":19,"text":2645},{"id":2658,"depth":19,"text":2659},{"id":2691,"depth":19,"text":2692},"2020-08-18","StreamNative announces the launch of StreamNative Cloud, a fully managed Apache Pulsar service with Cloud-Hosted and Cloud-Managed deployment options.",{},"\u002Fpress-releases\u002Fstreamnative-launches-cloud-offering",{"title":2625,"description":2702},"press-releases\u002Fstreamnative-launches-cloud-offering",[2231,1659],"Yf6CwOSteQgJ0aZKWEaftU3dot5ilhA4J7RpjjEykLM",{"id":2710,"title":2711,"authors":290,"body":2712,"category":290,"createdAt":290,"date":2766,"description":2767,"extension":8,"featured":294,"image":1653,"isDraft":294,"link":290,"mediaContact":1278,"meta":2768,"navigation":7,"order":296,"path":2769,"readingTime":2092,"relatedResources":290,"seo":2770,"stem":2771,"tags":2772,"__hash__":2773},"pressReleases\u002Fpress-releases\u002Frise-of-apache-pulsar-first-pulsar-summit.md","The Rise of Apache Pulsar and the First-Ever Pulsar Summit Virtual Conference 2020",{"type":15,"value":2713,"toc":2762},[2714,2722,2724,2730,2736,2742,2748,2754,2756,2759],[48,2715,2716,1589,2719,2721],{},[44,2717,2718],{},"SAN FRANCISCO, June 11, 2020",[55,2720,1103],{"href":1300},", a cloud-native event streaming company powered by Apache Pulsar, today announced details on the inaugural Pulsar Summit Virtual Conference 2020. The two-day event, scheduled for June 17-18, is presented by StreamNative and Splunk and features more than 30 live sessions by tech leads, open-source developers, software engineers, and software architects from Salesforce, Splunk, Verizon Media, Iterable, Yahoo! JAPAN, TIBCO, OVHcloud, Clever Cloud, and more.",[40,2723,2516],{"id":2515},[48,2725,2726,2729],{},[44,2727,2728],{},"Why Splunk Chose Pulsar"," -- Karthik Ramasamy explains Splunk's adoption of Apache Pulsar for both existing use cases and new cloud-native service offerings, including the Splunk Data Stream Processor (DSP).",[48,2731,2732,2735],{},[44,2733,2734],{},"Scaling Customer Engagement with Apache Pulsar"," -- Greg Methvin from Iterable describes how Iterable built its infrastructure around pub-sub messaging using Pulsar for reliability and scalability.",[48,2737,2738,2741],{},[44,2739,2740],{},"Apache Pulsar at Tencent"," -- Ningguo Chen, Chief Architect from Tencent Billing, shares how Pulsar processes tens of billions of transactions efficiently.",[48,2743,2744,2747],{},[44,2745,2746],{},"OVHcloud's Messaging Solution"," -- Pierre Zemb discusses why Europe's largest cloud provider selected Pulsar for ioStream.",[48,2749,2750,2753],{},[44,2751,2752],{},"Instructure's Pulsar Deployment"," -- Addison Higham details the adoption and deployment process completed in under one year.",[40,2755,2410],{"id":2409},[48,2757,2758],{},"Apache Pulsar is a cloud-native, distributed messaging and streaming platform managing hundreds of billions of events per day. Originally developed at Yahoo! as the unified messaging platform connecting critical Yahoo applications such as Yahoo Finance, Yahoo Mail, and Flickr, Pulsar now powers production environments at Verizon Media, Yahoo! JAPAN, and Tencent.",[48,2760,2761],{},"The platform supports event streaming, pub\u002Fsub messaging, microservices, stream processing, serverless computing, and real-time analytics with built-in multi-tenancy and multi-datacenter replication capabilities.",{"title":18,"searchDepth":19,"depth":19,"links":2763},[2764,2765],{"id":2515,"depth":19,"text":2516},{"id":2409,"depth":19,"text":2410},"2020-06-11","StreamNative and Splunk announce the first-ever Pulsar Summit Virtual Conference 2020, a two-day event featuring 30+ sessions from Salesforce, Splunk, Verizon Media, Iterable, and more.",{},"\u002Fpress-releases\u002Frise-of-apache-pulsar-first-pulsar-summit",{"title":2711,"description":2767},"press-releases\u002Frise-of-apache-pulsar-first-pulsar-summit",[2231,1577],"7LsSOwnhbdeY-dQM6ZZDtS3jbq4Z2ZxrTmgKwUs4cJo",1775716474047]