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Graphical user interfaces for discovering, managing, and overseeing metadata catalogs and schemas.
Distinct from Metadata Management: None of the candidates cover a general administrative GUI for metadata lake orchestration.
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Gravitino is a federated metadata lake and unified data catalog designed to manage tables, files, and AI models across diverse data sources and cloud storage. It serves as a centralized interface for governing schemas, access controls, and tagging across relational databases, messaging queues, and object stores. The project distinguishes itself by unifying the management of AI assets, such as machine learning models and their version lineages, alongside traditional tabular data. It also implements the Iceberg REST specification to provide a standardized metadata server and proxy for lakehouse
Provides a graphical interface for interacting with and overseeing the federated metadata environment.