Apache Gravitino tackles a growing enterprise problem: managing metadata across fragmented, multi-cloud data sources. Traditional methods create silos and operational headaches. Gravitino offers a unified federated metadata lake, born from Datastrato Inc. and now an Apache Top Level Project. Major tech firms like Xiaomi, Uber, and Pinterest already use it in production, managing everything from classic databases to AI model metadata.

The system provides a single pane of glass for diverse assets. It supports Unified Metadata Management for sources like MySQL, Apache Iceberg, and cloud storage like S3. Key features include real-time synchronization with underlying systems, multi-engine support for Trino and Spark, and a geographically distributed architecture for cross-cloud deployments. It even manages AI/ML model metadata alongside traditional data tables.

Gravitino’s core concepts—Metalake, Catalog, Schema, and Table—create a logical hierarchy for organizations. Its REST API and SDKs (Java, Python) enable deep integration with existing workflows. By offering Role-Based Access Control and data lineage tracking, it aims to simplify governance. As data ecosystems grow more complex, tools like Gravitino become essential for maintaining visibility and control.