Summary
- StreamNative Kafka service is now in Public Preview, introducing a cloud-native Kafka service powered by Ursa's diskless, leaderless architecture to unify real-time streaming and lakehouse workloads on StreamNative Cloud. Currently available for Dedicated clusters, with Serverless and BYOC support planned, it provides flexible deployment options for modern data platforms.
- StreamNative Kafka service launch partners are helping customers accelerate adoption by validating integrations across real-time analytics, lakehouse platforms, AI workloads, and operational applications.
These partners extend the value of StreamNative Kafka service by supporting both real-time streaming integrations and lakehouse analytics use cases. Together, they enable organizations to ingest streaming data into downstream platforms, build operational applications, validate data pipelines, and query Delta Lake and Iceberg tables created from data written through Ursa's diskless storage architecture.
Core partner categories:
- Data platforms and lakehouse ecosystem partners: Enable seamless integration with modern data platforms and support querying Delta Lake and Iceberg tables created by StreamNative Kafka service for AI, BI, and lakehouse analytics.
- Real-time analytics and stream processing partners: Enable ingestion of streaming data from StreamNative Kafka and support querying Delta Lake and Iceberg tables for real-time analytics and lakehouse insights.
- Operational applications and developer ecosystem partners: Provide tools and platforms for building applications, improving developer productivity, and operationalizing streaming data.
- Testing and data pipeline validation partners: Help organizations simulate workloads, test integrations, and validate streaming data pipelines before production deployment.
Together, these launch partners demonstrate how StreamNative Kafka integrates seamlessly into modern data architectures.
Featured launch partners
Our launch partners include leading independent software vendors (ISVs) across the data, analytics, and AI ecosystem. These partners have validated integrations with StreamNative Kafka to help customers accelerate real-time data adoption, simplify streaming operations, and build modern analytics and AI-driven applications. Together, they extend the StreamNative Kafka ecosystem by enabling seamless interoperability across lakehouse platforms, stream processing engines, real-time analytics systems, and developer tooling.
Data platforms and lakehouse ecosystem partners
Modern data architectures require seamless integration between streaming platforms and lakehouse technologies. StreamNative Kafka service enables direct ingestion of streaming data into open table formats and governed data platforms through partnerships with leading data ecosystem providers.
Streaming Data to the Databricks Enterprise AI Platform
StreamNative's integration with Databricks enables organizations to stream data from the StreamNative Kafka service into Unity Catalog in open table formats such as Delta Lake and Apache Iceberg. In addition to existing support for managed Iceberg tables and external Delta tables, StreamNative Cloud now also supports Managed Tables using Unity Catalog's Catalog-based commits, enabling governed real-time data for AI, BI, and analytics.
Streaming Data into Snowflake's AI Data Cloud
StreamNative's integration with Snowflake enables organizations to stream data from the StreamNative Kafka service into Iceberg tables managed in Snowflake catalogs. While StreamNative Cloud already supported writing topic data to Snowflake Open Catalog, it now also supports Snowflake Horizon Catalog---part of the Snowflake AI Data Cloud---adding enterprise capabilities such as governance, RBAC, and centralized data management for real-time analytics and AI workloads.
Streaming Data into Google's BigLake - Apache Iceberg Lakehouse
StreamNative's integration with Google BigLake enables organizations to stream data from the StreamNative Kafka service directly into Iceberg tables managed by the BigLake metastore using the Iceberg REST Catalog standard. This integration allows enterprises to combine real-time streaming with open lakehouse architectures, making Kafka data immediately available for analytics, AI, and governance workflows within Google Cloud's data ecosystem while maintaining openness through Apache Iceberg.
Starburst
"StreamNative and 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."
Jitender Aswani - Senior Vice President, Engineering @ Starburst
Real-time analytics and stream processing partners
StreamNative Kafka integrates with leading real-time processing and analytics platforms to help organizations transform raw events into actionable insights.
StarTree
"Real-time applications depend on fast, reliable streaming data. With 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."
--- Chinmay Soman, VP Product, StarTree
Ververica
"Streaming and real-time processing are foundational to modern data platforms. Together, Ververica and StreamNative enable customers to combine StreamNative's native Kafka with Ververica's VERA engine to build scalable, enterprise-grade streaming architectures that power real-time analytics and AI workloads."
--- Vladimir Jandreski, Chief Product Officer, Ververica
RisingWave
"StreamNative's native Kafka service, powered by Ursa, provides a strong foundation for modern stream processing by simplifying real-time ingestion into lakehouse architectures. Together, RisingWave and StreamNative enable developers to continuously enrich streaming data with context, making it easier to build real-time pipelines that transform event streams into analytics-ready data for lakehouse and AI workloads."
--- Rayees Pasha, Chief Product Officer, RisingWave
VeloDB
"StreamNative and VeloDB combine real-time data streaming with hybrid analytics to power the next generation of AI-driven applications. StreamNative enables continuous, reliable data ingestion into VeloDB or open table formats like Iceberg, while VeloDB delivers real-time hybrid search across structured, semi-structured, and vector data. Together, we provide an open, scalable, and AI-ready data platform for real-time insights and intelligent decision-making."
--- Mingyu Chen, VP Engineering, VeloDB
Celer Data
"Together, StreamNative and CelerData Cloud enable organizations to stream live event data through StreamNative's Ursa-powered Kafka platform and query it in real time through CelerData Cloud, so AI agents and applications always have fresh, governed context without the overhead of extra pipelines."
--- Sida Shen, Product Manager, CelerData
Timeplus
"Real-time analytics starts with reliable streaming infrastructure. By integrating Timeplus with StreamNative's native Kafka service powered by the Ursa engine, organizations can accelerate how quickly they analyze streaming data and operationalize insights without complex data movement."
--- Ting Wang, CEO, Timeplus
Operational applications and developer ecosystem partners
StreamNative Kafka also integrates with partners focused on operations, developer productivity, and operational intelligence to help teams build and manage streaming applications more effectively.
Lenses
"Businesses are increasingly running multi-Kafka environments as they modernize their critical systems to real-time. Ursa for Kafka adds a modern architecture and unique infrastructure capabilities to this landscape. Integrated with Lenses, engineers gain the productivity and unified governance to build and operate on Ursa alongside their broader streaming estate."
--- Guillaume Aymé, CEO - Lenses
Factor House
"StreamNative Kafka powered by Ursa delivers the infrastructure, and Factor House's Kpow gives teams the visibility and control to run it with confidence. The result: faster incident response, stronger governance, and engineering teams that spend less time firefighting."
---Derek Troy-West, Co-founder & CEO, Factor House
Advantco
"Enterprises increasingly rely on Kafka to connect mission-critical business systems like SAP with modern data platforms. Through Advantco's Kafka Workbench and its native integration with StreamNative's Kafka service powered by the Ursa engine, we enable organizations to seamlessly stream SAP data into real-time architectures and accelerate their digital transformation initiatives."
--- Nick Persavich, President, Advantco International
Volt Active Data
"Combining StreamNative's native Kafka service powered by the Ursa engine with Volt Active Data enables enterprises to power next-generation operational applications driven by contextual, real-time decisions. Together we help organizations transform streaming data into stateful, actionable intelligence that drives immediate business outcomes."
--- Anna Criscione, Global Head of Partners and Alliances - Volt Active Data
PuppyGraph
"By combining StreamNative's native Kafka ingestion into Iceberg tables with PuppyGraph's graph query engine, organizations can analyze relationships in their data instantly without building or managing separate graph pipelines, and enable their data agent in production with the harness."
--- Weimo Liu, CEO, PuppyGraph
CocoIndex
"StreamNative's native Kafka service powered by the Ursa engine provides a reliable real-time data foundation for modern AI and data platforms. Together, CocoIndex and StreamNative enable organizations to continuously transform and index streaming data, helping teams accelerate the delivery of AI-ready and search-ready data products."
--- Linghua Jin, Cofounder & CEO, CocoIndex
Testing and data pipeline validation partners
Ensuring reliability in production streaming environments requires strong testing and simulation capabilities. StreamNative Kafka partners help teams validate architectures before deployment.
ShadowTraffic
"Had a chance to take StreamNative's new native Kafka service for a test drive---phenomenal stuff! Diskless, modern architecture with a great UI and clean data lake integration. Well done!"
--- Michael Drogalis, Founder, ShadowTraffic
Building the future of real-time data together
The launch of StreamNative Kafka service marks an important step in our mission to unify streaming and lakehouse architectures. With Ursa as the foundation, StreamNative Kafka service enables organizations to modernize their Kafka deployments while seamlessly integrating with the broader data ecosystem.
We are proud to partner with these innovative companies to help customers build the next generation of real-time data platforms for analytics, AI, and operational applications.
Getting started
Try it yourself: Sign up for a free trial to experience how Kafka data from StreamNative can be seamlessly ingested into the Snowflake Horizon Catalog. Use promo codeUFK1000 between April 7 and April 14 to receive $1,000 in credits.
