We’re teaming up with @RisingWaveLabs for Real-Time Context on Demand: Query Your Streams with SQL 🚀
Get an early look at SQL Workspace in StreamNative Cloud and see how to query Kafka and Pulsar streams with familiar SQL.
👉 Register: hubs.ly/Q04t96Vk0
#ApachePulsar
The Streaming Intelligence Platform. 🚀
Unified Apache Pulsar & Native Kafka powered by the Ursa Engine.
0 cross-AZ costs. 100% Lakehouse-native.
- What if Kafka’s biggest challenges aren’t tuning problems — but architecture problems? Ursa-For-Kafka rethinks Kafka with: ⚡ Stateless brokers 🧩 Leaderless, diskless partitions ☁️ Object storage as the durable layer 📊 Lakehouse-ready Parquet Deep dive 👇
- What if a Kafka partition didn’t need a leader? Ursa for Kafka’s Leaderless Log Protocol lets multiple brokers write concurrently, removing leader elections, ISR rebalancing, and partition reassignment cascades from the critical path. We’ve open-sourced the protocol spec:
- 🚨 Price increase alert! 🚨 Early Bird tickets for the #DataStreamingSummit 2026 close on Aug 31. Join us in SF (Oct 7-8) to dive deep into real-time infrastructure, AI agents, Apache Pulsar, Kafka, Flink, and more. 🚀 🎟️ Don't wait—grab your ticket now: hubs.ly/Q04sM8680
- Kafka topics = Lakehouse tables. It’s really that simple. 🌟 Ursa for Kafka (#UFK) runs native Apache Kafka directly on object storage. The moment your data is committed, it lands in your lakehouse as an Iceberg or Delta Lake table. No batch ETL windows. No connector lag. Just

