The ONE Data Streaming Platform for Messaging, Streaming, and AI

StreamNative re-architected data streaming from the ground up for cloud native environments. Our ONE StreamNative Platform powered by Ursa engine offers scalable, high performant and cost efficient, and Kafka API-compatible data streaming platform that can run on any clouds. 

Data Streaming Summit  2024

The Data Streaming Summit 2024 was a huge success, and now you can catch up! Watch the keynote replay to explore the latest in Data Streaming and AI, with insights from top industry experts.

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Introducing Ursa Engine

Learn about our latest innovation, Ursa! It is Kafka compatible engine built on Lakehouse storage.

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Three Challenges of Data Streaming in the Cloud and How to Overcome Them

Expert strategies to Overcome Data Streaming Obstacles

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100,000+ Developers, Platform Engineers, DevOps Managers stream with StreamNative

Cisco
Toyota
Innerspace
Lego
Thales
Verizon
intelcom
Iterable
Intuit
Applied Materials

Reimagine Apache Kafka® with StreamNative

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Enhance your data streaming journey with ONE StreamNative Platform

Why you need StreamNative →

Cost-Efficient Streaming

Stream cost-efficiently at scale with a fraction of the cost using our Ursa engine. Our Kafka API-compatible data streaming engine is built on lakehouses and optimized for AI. Scale faster, run smarter, and deploy cheaper. With Kafka and Pulsar together, you get the best of both worlds.

Universal Connectivity

Universal Connect gives you access to over 200 Kafka Connect and Pulsar I/O connectors, enabling seamless integration of data from diverse sources with speed and efficiency. Its declarative integration framework simplifies complex systems, providing a powerful and intuitive solution.

Sovereign Stream Processing

Your Data, Your Compute, in Your VPC. The combination of URSA + VERA integrates Pulsar/Kafka with Flink, delivering a cost-effective, end-to-end stream processing solution while ensuring data sovereignty throughout the entire data lifecycle.

The most cost-effective data streaming platform powered by the Ursa Engine

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Unified

100% compatible with Kafka API.Migrate to StreamNative without rewriting your applications. Continue to use the entire Kafka ecosystem out-of-the box.

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Cloud-Native

No more time sunk into managing zookeeper. No ZooKeeper makes for easier deployments in modern containerized environments such as Kubernetes.

All your data are immediately available in Your data Lakehouse. No more disks to manage.

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Lakehouse First

Instant structured data to the Lakehouse.No data tiering anymore. Data streamed into StreamNative becomes instantly available in Lakehouse formats for querying. Use of Lakehouse storage formats for long term retention keeps costs to a minimum.

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StreamNative is a Leader in the Gigaom Radar for Streaming Data Platform, 2024

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Empower Your Entire Business with Data Streaming and AI

Real-time data ingestion for faster model training and improved predictions.
Ensure low-latency streaming to optimize GenAI inference pipelines.
Seamless integration with Ursa, Pulsar, and UniConn for continuous updates.
Example:
Powering AI chatbots and real-time recommendation engines with continuous feedback loops.
Leverage Ursa to bridge real-time streaming with cloud storage systems (S3, Delta, Snowflake).
Enable real-time analytics alongside historical data for GenAI and machine learning workloads.
Eliminate batch processing delays with continuous ingestion and query updates.
Example:
Powering AI chatbots and real-time recommendation engines with continuous feedback loops.
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Use Pulsar + Kafka to manage asynchronous, event-based communication between services.
Decouple services with Universal Connect for seamless interoperability.
Enhance flexibility and scalability with Sovereign Flink for data processing.
Example:
A fintech company powers real-time fraud detection with microservices processing events as they occur.
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Build pipelines with UniConn’s 200+ connectors for continuous data flow.
Handle large-scale ingestion, transformation, and processing with Ursa.
Enable hybrid pipelines combining streaming and batch workloads efficiently.
Example:
Powering AI chatbots and real-time recommendation engines with continuous feedback loops.
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Data streaming at scale on our cloud or yours

StreamNative delivers a fully managed data streaming platform that supports both Pulsar and Kafka in the cloud of your choice. We offer three deployment options to seamlessly and securely connect to your existing tech stack with our reliable, turnkey service.

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Serverless / Dedicated

A serverless or dedicated cluster hosted in StreamNative's public cloud account

Bring Your Own Cloud

Sovereign data streaming on your public cloud account—AWS, GCP, or Azure—managed by StreamNative

Private Cloud

Self-managed by your team on Kubernetes, on-premises, or across hybrid environments

Intelcom
Find out why our customers love us
"StreamNative has been a huge partner in our journey with Apache Pulsar. The team’s Pulsar expertise and knowledge have helped us to architect and launch what is now the central messaging platform for our company. The central messaging platform is mission-critical for our business and Pulsar powers the notifications for the tracking and delivery of millions of packages every day."
René Laplaine, Manager IT Business Platforms at Intelcom
Customer since 2019
Narvar
Find out why our customers love us
“We trust StreamNative to help us manage the entire lifecycle of data across our enterprise, which supports billions of ecommerce interactions across the globe. There’s really no one ahead of StreamNative when it comes to unified messaging and streaming in the cloud.”
Ankush Goyal, VP of Engineering at Narvar
Customer since 2019
Intuit
Find out why our customers love us
“For nearly the same cost, a pulsar cluster was able to support 3.5 times the throughput of an equivalent Active MQ”
Madhavan Narayanan, Principal Engineer at Intuit
Customer since 2019
Iterable
Find out why our customers love us
"After evaluating several messaging systems, we decided that Pulsar provided the right balance of scalability, reliability, and features to replace RabbitMQ at Iterable and, ultimately, to replace other messaging systems like Kafka and Amazon SQS."
Greg Methvin, Senior Staff Software Engineer at Iterable
Customer since 2019

Get started with StreamNative Today

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