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Systems for assigning administrative control and ownership of metadata entities to specific users.
Distinguishing note: None of the candidates address ownership of metadata catalog objects; they focus on blockchain objects or test cases.
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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
Allows granting administrative control over specific metadata objects to designated users.