Gravitino icon
Gravitino icon

Gravitino

 Like

World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.

Cost / License

Since

  • Since 2025

Updated

  • Updated Oct 2026

Platforms

  • Linux
  • Mac
0likes
0articles
Save

Features

Highlights All activities

Gravitino News & Activities

Recent activities

No activities found.

Gravitino information

GitHub repository

  •  3,243 Stars
  •  950 Forks
  •  1161 Open Issues
  •   Updated  
View on GitHub

Popular alternatives

View all
Gravitino was added to AlternativeTo by iTan03 on and this page was last updated .

No comments or reviews, maybe you want to be first?

Official Links

Install from the command line

  • brew install gravitino

Be careful what you paste into a terminal. Check what a command installs before running it.

What is Gravitino?

Apache Gravitino is a high-performance, geo-distributed, and federated metadata lake. It manages metadata directly in different sources, types, and regions, providing users with unified metadata access for data and AI assets.

Gravitino aims to provide several key features:

  • Unified Metadata Management: Gravitino provides a unified model and API to manage different types of metadata, including relational (e.g., Hive, MySQL) and file-based (e.g., HDFS, S3) metadata sources.

  • End-to-End Data Governance: Gravitino offers a unified governance layer for managing metadata with features like access control, auditing, and discovery.

  • Direct Metadata Management: Gravitino connects directly to metadata sources via connectors, ensuring changes are instantly reflected between Gravitino and the underlying systems.

  • Geo-Distribution Support: Gravitino enables deployment across multiple regions or clouds, allowing instances to share metadata for a global cross-region view.

  • Multi-Engine Support: Gravitino supports query engines enabling metadata access without modifying SQL dialects.

  • AI Asset Management (WIP): Gravitino is expanding to manage both data and AI assets, with support for AI models and features currently in development.