StreamNative Introduces Lakestream Architecture and Launches Native Kafka Service
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URSA: The Lakehouse-Native Streaming Engine
Up to 10× lower cost and zero-copy streaming into your lakehouse.
Built for Kafka & Pulsar
Native Kafka and Pulsar — zero code changes.
10x Lower Cost
No disks, no replicas, no cross-zone traffic.
Lakehouse-Native
Direct storage in Iceberg and Delta Lake.
Ursa For Kafka: Native Apache Kafka on Lakestream
Native Apache Kafka running on Lakestream's lakehouse-native foundation — every topic is simultaneously a live stream and a lakehouse table. No connectors, no ETL.
• KEY BENEFITS
Focus on Using Data, Not Managing Infrastructure
Skip the hassle of traditional data streaming and let Ursa do the heavy lifting. Here are 5 big "NO" items you avoid with Ursa:
No Inter-AZ Data Transfer
Minimal overhead, simpler networking.
No Disks to Manage
No hardware to baby-sit.
No Overprovisioning
Pay only for what you use.
No Connectors
No messy ETL pipelines.
No Data Duplication
One copy for all your needs.
Ursa Awarded Best Industry Paper
Read our award-winning paper on Ursa, the first lakehouse-native, leaderless streaming engine for Kafka.
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• ARCHITECTURE
The Pillars of the Ursa Engine
Ursa is a lakehouse-native streaming engine that decouples compute from storage to eliminate bottlenecks and cross-zone costs.
Leaderless Architecture
Eliminates cross-AZ replication and leader elections—cutting network spend while improving resilience and recovery.
What Ursa Means for Your Business
- Create your first StreamNative cluster powered by Ursa.
- Migrate a Kafka workload to StreamNative.
- Scale and stream data directly into your lakehouse at a fraction of the cost.
See What Industry Leaders Say About Ursa
F500 Company
"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."
Christos A, Enterprise Architect at F500 Company
Snowflake
"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."
Christian Kleinerman, EVP of Product at Snowflake
Databricks
"We're extremely excited about StreamNative's integration with Unity Catalog. Analytics on real-time data is one of the core use cases of Databricks, and the rapid growth in AI has increased the need for real-time data exponentially. With this release, our customers gain an efficient and simple way to get access to the data that their mission-critical analytics and AI applications require and have it immediately benefit from the unified governance that Unity Catalog provides."
Reynold Xin, Co-Founder and Chief Architect at Databricks
