At #SnowflakeSummit '26, @Snowflake announced Datastream to collapse Kafka streams into Iceberg tables. It completely validates the vision: the divide between streaming and the lakehouse is dead.
But while Snowflake is building this specifically to pull workloads into their ecosystem, we built #Lakestream to give you that exact same zero-ETL futureโwith total architectural freedom and unprecedented cost savings.
While the industry gets on a waiting list, you can ship this week with Lakestream:
๐ Production-Ready Zero-ETL: Kafka API on top, Iceberg underneath.
๐ Zero Vendor Lock-in: Data lives in open formats in your storage, queryable by any engine.
๐ง Proven Tech: Powered by #Ursa, winner of the VLDB 2025 Best Industry Paper award.
๐ฐ Up to 95% Infrastructure Savings: Diskless, leaderless architecture.
Why wait for a preview when you can build the future right now?
Stream once. Own your data. Query anywhere.
๐ Links to get started in the replies!
#DataEngineering #StreamingData #Lakehouse #ApacheKafka #Iceberg #Lakestream
The CFP for Data Streaming Summit 2026 is open!
๐ Oct 7โ8 | ๐ San Francisco
This year, DSS becomes The Data Streaming + Agent Infra Conference โ for builders connecting real-time data infrastructure with production AI-native applications.
๐ Selected speakers receive a free pass + full promotion. Weโd love to hear from you!
Link in comments ๐
#DataStreaming #ApacheKafka #ApachePulsar #Flink #AIAgents #DSS26
Missed the live webinar? Watch the recording on demand ๐ฅ
Learn how to migrate from self-managed Kafka to StreamNativeโs Lakehouse-native Kafka service with zero data loss or reprocessing.
See how #StreamNative + #Lenses K2K help preserve offsets, maintain observability, and simplify Kafka migration.
Watch now ๐
https://t.co/wk7tiMXqr8
#Kafka #DataEngineering #CloudNative
๐ Data Streaming Summit returns to San Francisco in 2026!
Join us Oct 7โ8 for the Data Streaming + Agent Infra Conference, bringing together builders across streaming, real-time data, and production AI agent infrastructure.
๐ค CFP is now open. Submit by June 30!
#DSS #DataStreamingSummit #DataStreaming #AgenticAI #AIInfrastructure #ApachePulsar #ApacheKafka
Final call! ๐ข
Managing #ApacheKafka yourself is a major bottleneck. Tomorrow, weโll show you how to migrate to a fully managed platform with zero downtime.
๐ Zero-Downtime Migration
๐ Cloud-Native Scalability
๐ Live Demo
Donโt miss out. See you there!๐
https://t.co/FcOD9gdO3n
#Kafka #DataEngineering #CloudNative
Still managing Kafka yourself?
Itโs time to break free from operational toil. Join StreamNative & Lenses on May 28 to learn how to migrate with zero downtime.
๐ Modernize your stack.
โก Scale effortlessly.
๐ Register now:
https://t.co/opcC7ZQWyd
#Kafka #DataEngineering #CloudNative
Day 2 at #Current26 ๐ฌ๐ง
Don't miss out our breakout session:
๐ค From Data Pipelines to Context Streams: Building Infrastructure for the Agent Era
โฒ๏ธ 2:15 PM, Wednesday, May 20
๐Victoria Room 6
Agents donโt wait for batch jobsโthey need fresh context in milliseconds. Learn how to build the "Context Engineering" pipelines that prevent hallucinations and power multi-agent workflows. โก๏ธ
After the session, swing by the #StreamNative booth to see the tech in action and meet the team! ๐
#CurrentLondon #ApacheKafka #AIInfrastructure #AgenticAI
Real-time data ๐ค Instant Governance.
Big news from #Databricks: Catalog Commits is now GA! ๐
Our CEO Sijie Guo explains why this matters for the #DataStreaming community: "Every record lands as a governed row that's instantly queryable by any engine."
#StreamNative + #UnityCatalog = 0 metadata drift.
Read the full announcement from Databricks here:
๐ https://t.co/z3xQ8UjGKn
#DataStreaming #Lakehouse #ApacheKafka #DataGovernance
๐ฌ๐ง Hello #CurrentLondon26
Come visit the StreamNative team to talk all things real-time data, #ApacheKafka, #ApachePulsar, AI infrastructure, and event-driven architecture โก
Great conversations, live demos, and lots of streaming innovation ahead.๐
๐ Stop by our booth and say hello!
#StreamNative #ApachePulsar #RealTimeData #AI #ApacheKafka
Heading to #CurrentLondon2026? ๐ฌ๐ง
The Data Streaming Happy Hour starts in 1 HOUR! ๐น
Join us for drinks and data streaming talk before the main event kicks off tomorrow.
๐Last chance to register: https://t.co/fFTho4fRPY
#ApacheKafka hashtag#Flink hashtag#DataStreaming hashtag#Current26
If youโre still rebalancing Kafka partitions manually in 2026, itโs time for a change. ๐ ๏ธ๐โโ๏ธ
Join #StreamNative & #Lenses on May 28 to see how to migrate to a managed Kafka service with:
๐น Zero downtime
๐น No vendor lock-in
๐น Cloud-native scalability
Don't miss it: https://t.co/sI3PsACniW
#DataEngineering #ApacheKafka #ManagedServices
StreamNative Cloud just launched Maintenance Notifications! ๐ ๏ธ
Stay ahead of updates with centralized visibility into your Pulsar clusters and cloud environments.
Whatโs new:
๐น Central Dashboard: Track all planned and ongoing maintenance in the Console.
๐น Detailed Info: Review change summaries, scheduled windows, and target resources.
๐น Full Control: Approve, Reject, or Reschedule maintenance (Enterprise/Production plans).
๐น Email Alerts: Get notified before, during, and after execution.
Read the full update: https://t.co/PmjxgNjCCd
Big thanks to our co-hosts @RisingWaveLabs and @aiven_io for a fantastic event in San Francisco! ๐
And a huge thank you to all the attendees for the high-energy turnout!
The conversations around real-time data and agentic workflows made it clear: the future of intelligent systems is being built right now.
Looking forward to the next one! ๐ค
#DataStreaming #GenerativeAI #StreamNative #RisingWave #Aiven
The streaming and AI communities came together in San Francisco to discuss Kafka, real-time systems, and AI agents.
We had a great panel discussion on โThe Future of Kafka + AI,โ along with a series of talks from:
Yingjun Wu, Founder & CEO of RisingWave
Sijie Guo, CEO of StreamNative
Filip Yonov, Head of Streaming at Aiven
Dmitry Kan, Product Director of Search at Aiven
Looking forward to seeing everyone again soon, hopefully very soon!
Image credit: Dmitry Kan