What characteristic does the management plane of Databricks provide?

The management plane in Databricks is designed primarily to handle operations related to application and workspace management. This includes the ability to manage user permissions, configure workspaces, oversee jobs, and handle resource allocation effectively. Essentially, it provides the administrative capabilities necessary to oversee the various elements and services that make up the Databricks environment.

In contrast, data storage optimization typically refers to strategies for efficiently storing and managing data in a way that minimizes costs and maximizes performance, which falls under the purview of the data plane rather than the management plane. In-depth analytics functionality pertains to the analytical capabilities within Databricks, including advanced data processing and querying, which again are part of the operational or data processing features rather than management. Real-time data processing focuses on handling data as it is created or received, which is a technical capability primarily offered by the data plane for processing and analyzing live data streams rather than being a management function.

Thus, the characteristic of managing applications and workspaces is distinctly aligned with the role of the management plane in providing an organized way to govern different operations within the Databricks platform.