🌊 Stream Smarter. Switch to Ursa. #ApacheKafka #ApachePulsar #Ursa #DataStreaming @streamnativeio

Just listened to Jay’s keynote at Current Summit London. Unified batch and streaming? That’s old news. Snapshot queries? That’s just querying Iceberg tables… come on. You can already do that with #Ursa by querying Ursa topics’ lakehouse tables using #Flink, #Spark, or any.

Join millions who have switched to Grok.

I just kicked off a new blog series on AI agents! First post tackles a pain point: chatbots powered by stale data and sit in silos. 🤖➡️🌊 How do we feed them real‑time streams and get them talking at scale? . Check it out & tell me what you think 👉

Very excited to announce that @streamnativeio now integrates with @databricks Unity Catalog—the first & only data streaming engine to natively support it!.Seamlessly ingest streaming data into Delta Lake & Iceberg for real-time analytics with unified governance by Unity Catalog.

RT @streamnativeio: StreamNative's Ursa Engine now integrates with @databricks Unity Catalog, bringing real-time streaming to the Lakehous….

RT @streamnativeio: 🚀 Excited to announce our Technology Select Tier partnership with @SnowflakeDB .Together, we’re simplifying real-time a….

While #BYOC has become increasingly popular, we've seen debates about which approach to BYOC is best. In our view, whether it's BYOC, Dedicated/Serverless, or self-managed, what organizations need is a Portable Data Plane. Checkout our blog post: .

While "Shift-Left" is a hot topic in data strategies today, particularly for advancing real-time data streaming architectures, it's important to look at it within a broader context. We believe in a more holistic approach. In today’s data-driven world, Shift-Left alone isn’t.

6 years ago, I never imagined #ApachePulsar would grow into what it is today. From an idea to solve real-time data challenges to a thriving community project @apache_pulsar it’s been an incredible journey. 🙌 Grateful for everyone who's been a part of this! 🚀.👉.

Sad to hear that Upstash shut down its serverless Kafka service. If you're looking for an alternative, check out Serverless Kafka on @streamnativeio Cloud! Start with $200 in free credits—no credit card needed. Need more? DM me!. Learn more:

Say hello to UniConn (Universal Connectivity)! After adding support for the Kafka protocol with Ursa engine, we've gone a step further by bringing in support for Kafka Connect. With UniConn, you can now run Kafka Connect connectors natively on StreamNative Cloud, using the same.

RT @streamnativeio: 🎉 Exciting news! StreamNative is proud to announce Serverless, Universal Connectivity (UniConn) and a new Partner Progr….

RT @streamnativeio: We're thrilled to announce our new partner programs for technology and services. A warm welcome to our signed partners:….

RT @streamnativeio: Unifying the #Kafka and #Pulsar ecosystem with Universal Connectivity (UniConn). Our new solution that provides a consi….

If you are in the SF Bay Area, don't miss the presentation from the Paypal team about their adoption journey with @apache_pulsar. Join us this Thursday evening in Sunnyvale! We have speakers from @PayPal @PingCAP @streamnativeio talking about all things data.

Huge congrats to our friends at @tabulario and @databricks!!! I am really excited to see how these open table formats will converge. The open lakehouse format is a foundation for enabling data sharing across different teams, departments, and organizations. StreamNative’s #Ursa.

We believe that the future of data streaming platforms lies in being open and multi-faceted, fundamentally different from traditional data platforms. They are designed not just to store and process data, but to enhance organizational capabilities by fostering data sharing across.

#Ursa is not a technology reimplementation for the current economy; it is the realization of our vision at StreamNative to facilitate seamless data sharing across teams, departments, and even organizations, irrespective of data origin. Along in the journey of developing Ursa,.

By integrating these features at the multi-tenant level rather than at isolated cluster levels, Ursa eliminates costly data duplication and movement across clusters, allowing teams to map directly to tenants and be able to share data across teams and departments more efficiently.

3. Object storage as the primary storage solution: To better align with cloud economics, particularly for large workloads, Ursa removes #ZooKeeper and #BookKeeper and utilizes a cost-optimized write-ahead log based solely on object storage with leaderless and stateless brokers.