The Apache Hudi team is pleased to announce the release of Apache Hudi 1.2.0.
Apache Hudi is an open data lakehouse platform, built on a high-performance open table format to ingest, index, store, serve, transform, and manage your data across multiple cloud data environments. This 1.2.0 release comes 5 months after 1.1.1. It includes more than 600 commits from our incredible community. The 1.2.0 release expands the lakehouse for multimodal and AI workloads while continuing to strengthen its streaming and operational foundations: - Native VECTOR Type and Vector Search: First-class support for embeddings with built-in similarity search directly on Hudi tables. - Native BLOB and VARIANT Support: Store binary objects, documents, images, and semi-structured data alongside traditional analytical records. - Lance File Format Integration: Optimized storage for vector and multimodal data, for AI workloads within the Hudi ecosystem. - Major Flink Performance Boosts: Record Level Index support, dynamic bucket scaling, and a new FLIP-27 based source for large-scale streaming workloads. - Distributed Co-ordination at Scale: Expanded multi-writer concurrency control, automated table services, and operational improvements across the platform. Please read the announcement blog and review the release notes for details on release highlights and behavior changes before adopting the 1.2.0 version: https://hudi.apache.org/blog/2026/06/07/apache-hudi-release-1-2-announcement/ https://hudi.apache.org/releases/release-1.2/#release-120 If you'd like to download the source release, you can find it here: https://hudi.apache.org/releases/download#release-120 For details on how to use Hudi, please look at the quick start page located at https://hudi.apache.org/docs/overview#getting-started We welcome your help and feedback. For more information on how to report problems, and to get involved, visit the project website at https://hudi.apache.org Thanks to everyone involved! - Ethan, Release Manager
