5 posts tagged with "releases"

We are excited to announce the release of fluss-rust clients 0.1.0, the first official release of the Rust, Python, and C++ clients for Apache Fluss. This 0.1.0 release represents the culmination of 210+ commits from the community, delivering a feature-rich multi-language client from the ground up.

Under the hood, all three clients share a single Rust core that handles protocol negotiation, batching, retries, and Apache Arrow-based data exchange, with thin language-specific bindings on top. This was a deliberate community decision to deliver native performance and feature parity across every language from day one.

🌊 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.

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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

🌊 We are excited to announce the official release of Apache Fluss (Incubating) 0.8!

This is our first release under the incubator of the Apache Software Foundation, marking a significant milestone in our journey to provide a robust streaming storage platform for real-time analytics.

Over the past four months, the community has made tremendous progress, delivering nearly 400 commits that push the boundaries of the Streaming Lakehouse ecosystem. This release includes multiple stability optimizations and introduces deeper integrations, performance breakthroughs, and next-generation stream processing capabilities. Highlights:

• 🧊 Enhanced Streaming Lakehouse capabilities with full support for Apache Iceberg and Lance
• ⚡ Introduction of Delta Joins with Flink, a game-changing innovation that redefines efficiency in stream processing by minimizing state and maximizing speed.
• 🔧 Supports hot updates for both cluster configurations and table configurations

Apache Fluss 0.8 marks the beginning of a new era in streaming: real-time, unified, and zero-state, purpose-built to power the next generation of data platforms with low-latency performance, scalability, and architectural simplicity.

🌊 We are excited to announce the official release of Fluss 0.7!

This version has undergone extensive improvements in stability, architecture, performance optimization, and security, further enhancing its readiness for production environments. Over the past three months, we have completed more than 250 commits, making this release a significant milestone toward becoming a mature, production-grade streaming storage platform.

The Fluss community is pleased to announce the official release of Fluss 0.6.0. This version has undergone over three months of intensive development, bringing together the expertise and efforts of 45 contributors worldwide, with more than 200 code commits completed. Our heartfelt thanks go out to every contributor for their invaluable support!