Apache Fluss (Incubating) 0.9 Release Announcement

🌊 We are excited to announce the official release of Apache Fluss (Incubating) 0.9!
This release marks a major milestone for the project. Fluss 0.9 significantly expands Fluss’s capabilities as a streaming storage system for real-time analytics, AI, and state-heavy streaming workloads, with a strong focus on:
- Richer and more flexible data models
- Safe, zero-downtime schema evolution
- Storage-level optimizations (aggregations, CDC, formats)
- Stronger operational guarantees and scalability
- A more mature ecosystem and developer experience
Whether you’re building unified stream & lakehouse architectures, real-time analytics, feature/context stores, or long-running stateful pipelines, Fluss 0.9 introduces powerful new primitives that make these systems easier, safer, and more efficient to operate at scale.
TL;DR: What Fluss 0.9 Unlocks

- Zero-copy schema evolution for evolving streaming jobs
- Storage-level aggregations that further enhances zero-state processing
- Change data feed for CDC, audit trails, point-in-time recovery, and ML reproducibility
- Safer snapshot-based reads with consumer-aware lifecycle management
- Operationally robust clusters with automatic rebalancing and safer maintenance workflows
- Apache Spark integration, enabling unified batch and streaming analytics on Fluss
- First-class Azure support, allowing Fluss to tier and operate seamlessly on Azure Blob Storage and ADLS Gen2


