#databricks Schemas, also known as databases, are logical groupings of tabular data (tables and views), non-tabular data (volumes), functions, and machine learning models. They give you a way to organize and control access to data that is more granular than catalogs. Typically they represent a single use case, project, or team sandbox.
Schemas can be stored in the same physical storage as the parent catalog, or you can configure a schema to be stored separately from the rest of the parent catalog.
Metastore admins, parent catalog owners, and schema owners can manage access to schemas.