The Federated Governance Gap No Data Catalog Has Solved Until Now

Federated data governance addresses the challenges that arise when enterprise data architectures span multiple processing engines, where centralized governance models become inadequate due to their reliance on a single team managing both data and policy. Apache Gravitino serves as a solution by providing an open-source, multi-engine metadata catalog that ensures continuity across different engines such as Spark, Trino, and Flink, thus maintaining consistent schema, lineage, and policy bindings. This approach contrasts with proprietary catalogs that are often limited to single platforms, causing metadata and policy enforcement to break at engine boundaries. Acceldata’s xLake platform exemplifies this federated governance model by using Apache Gravitino and Apache Ranger to offer a unified governance framework that maintains metadata and policy enforcement consistently across all supported engines, thereby eliminating the risks associated with traditional federated governance models where catalogs do not travel with data.