🎉 Apache Fluss 0.9.0 (Incubating) Released - Reshaping Stream Storage for Real-time Analytics Hi, all! We're thrilled to announce that Apache Fluss 0.9.0-incubating is now available! What is Fluss? Fluss is a high-performance, columnar stream storage engine designed from the ground up for the real-time analytics layer in Lakehouse architectures. It empowers Flink users with capabilities beyond traditional log storage: • Millisecond-level Point Reads & Writes - Directly query your streaming data with ultra-low latency. • Upserts & Partial Column Updates - Efficiently handle changing data semantics natively. • Deep Flink Integration - Seamlessly works with the latest Flink 2.2 and supports advanced patterns like delta joins. Release Highlights: • Download: https://downloads.apache.org/incubator/fluss/fluss-0.9.0-incubating/ • Maven: https://search.maven.org/search?q=g:org.apache.fluss%20AND%20v:0.9.0-incubating • Release Blog: https://fluss.apache.org/blog/releases/0.9/ Why Flink Users Should Care: Fluss is purpose-built for scenarios requiring high-speed data serving from streaming results. It integrates natively with Apache Paimon and Apache Iceberg to create a unified "Lake-Stream" architecture, enabling fresh analytics on real-time data. We'd love for the Flink community to try it out and share your insights! The project is actively evolving its Flink integrations. ▶️ Get Involved: • GitHub: https://github.com/apache/fluss • Website: https://fluss.apache.org/