Webinar
Fluss 0.7: A New Stream of Possibilities

Fluss brings together storage, messaging, and analytics into a single, Flink-native platform - so you can stop managing separate systems and start focusing on insights.
Fluss 0.7 delivers durability, ordering, and scalability - without the operational overhead of a standalone Kafka cluster.
Watch the webinar below to explore what’s in Fluss 0.7, and learn all about the modern streaming storage solution designed for real-time analytics and the Lakehouse. Fluss unifies batch and stream in one platform and allows you to:
- Ditch your Kafka cluster by embedding high-performance, columnar streaming storage directly into Apache Flink
- Achieve sub-second latency on reads and writes - with native upsert and changelog support, no extra topics required
- Run ad-hoc, interactive queries against live streams without spinning up separate analytics systems
We highlight the key features in the 0.7 release, offer a sneak peek into the future, and explore how you can join our growing community as Fluss enters its incubation stage.
Register now to see how Fluss 0.7 delivers all of Kafka’s core guarantees: durability, ordering, scalability - plus powerful table-style analytics in a single, Flink-native solution.
Agenda:
- Fluss 0.7: New features and improvements
- The Future of Fluss: What’s coming in the next release
- How to unify batch and stream processing, so you can query historical and real-time data side by side
- Community Involvement: Get involved with the Fluss community
- Live Q&A
Jark Wu

Speaker
Jark Wu is a committer and PMC member of Apache Flink and the original creator of Flink SQL, Flink CDC, and Fluss. He currently leading the Flink SQL and Fluss team at Alibaba Cloud. His work has long centered on distributed systems, particularly in the areas of big data computing and storage.
Mehul Batra

Speaker
Giannis Polyzos

Host/Facilitator
Giannis is a Streaming Architect and Fluss Contributor. He helps companies modernize their data infrastructure by leveraging streaming technologies and enabling them to build fast and scalable data pipelines, streaming data flows, and deliver real-time analytics.
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