![]() ![]() For more information, see Hive metastore table access control (legacy). By default, a cluster allows all users to access all data managed by the workspace’s built-in Hive metastore unless table access control is enabled for that cluster. The Hive metastore provides a less centralized data governance model than Unity Catalog. An instance of the metastore deploys to each cluster and securely accesses metadata from a central repository for each customer workspace. For more information, see Manage privileges in Unity Catalog.īuilt-in Hive metastore (legacy): Each Databricks workspace includes a built-in Hive metastore as a managed service. Users can access data in Unity Catalog from any workspace that the metastore is attached to. Unity Catalog offers a single place to administer data access policies. Securable objects in Unity Catalog are hierarchical and privileges are inherited downward. Access can be granted by either a metastore admin or the owner of an object. Initially, users have no access to data in a metastore. In Unity Catalog, data is secure by default. This storage location is used by default for storing data for managed tables. You create Unity Catalog metastores at the Databricks account level, and a single metastore can be used across multiple workspaces.Įach Unity Catalog metastore is configured with a root storage location in an S3 bucket in your AWS account. Unity Catalog metastore: Unity Catalog provides centralized access control, auditing, lineage, and data discovery capabilities. Databricks provides the following metastore options: The metastore contains all of the metadata that defines data objects in the lakehouse. ![]()
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