Apache Gravitino

About Apache Gravitino

An open-source, unified metadata management platform for data lakes, data warehouses, and external catalogs. Gravitino provides a single point of access for managing metadata across diverse data sources, simplifying governance and discovery.

Key Features

• 1Unified metadata management layer for multi-engine data lake environments
• 2Single API to manage schemas across Hive, Iceberg, and cloud warehouses
• 3Column-level access control policies enforced across all connected engines
• 4REST API for programmatic schema registration and discovery
• 5Open-source Apache incubator project with active development

How Python Data Engineers Use Apache Gravitino

Python data engineers use Gravitino's REST API to register and discover table schemas centrally when working across multiple compute engines — registering an Iceberg table in Gravitino makes it discoverable to Spark, Trino, and Flink without duplicating schema definitions. Python scripts automate schema registration after new pipeline outputs are created.