Apache Gravitino is a federated metadata lake that unifies metadata management across diverse data sources and regions through a single API and model.
Organizations managing metadata across multiple systems face fragmentation: metadata lives in different sources like Hive, MySQL, HDFS, and S3, often spread across regions and clouds. Gravitino solves this by providing a unified metadata access layer that connects directly to underlying systems without requiring data movement. Changes in source systems are immediately reflected through Gravitino's connectors, and the tool supports geo-distribution to share metadata across regions and clouds. It integrates with query engines like Trino and Spark without requiring SQL dialect modifications.
Teams should adopt Gravitino when they operate federated data architectures spanning multiple metadata sources, regions, or clouds and need unified governance. It suits organizations building data lakes or lakehouses that require end-to-end data governance including access control, auditing, and discovery across all assets. The tool is particularly valuable for multi-region metadata synchronization in hybrid or multi-cloud setups. It also provides native Iceberg REST catalog service support. AI asset management capabilities are noted as work in progress.
The project maintains active development with regular commits across core metadata management, connector implementations, and API improvements. Work spans multiple areas including governance features, query engine integrations, and documentation expansion. The codebase shows sustained engineering effort on both foundational systems and new capability areas.
