Access Management for Databricks SQL¶
This document provides an overview of the access management features that Privacera supports for Databricks SQL.
Access Management¶
| Topic | Detail |
|---|---|
| Integration methodology | Privacera PolicySync |
| Access Tools |
|
| Supported User Identities |
|
| Resource Policy Service Type | privacera_databricks_sql_analytics |
Supported Access Management Features¶
| Feature | Supported | Native | Using SecureView |
|---|---|---|---|
 Database Access Control | Yes | Yes | Yes |
| Table Access Control | Yes | Yes | Yes |
| View Access Control | Yes | Yes | Yes |
| Column Access Control | Yes | No | Yes |
| Row Access Control | Yes | No | Yes |
| Column Data Masking | Yes | No | Yes |
 Column Data Encryption | No | No | N/A |
| Centralized Access Audit | Yes | N/A | N/A |
| Granular Access Audit Record | No | N/A | N/A |
How does it work¶
In Databricks SQL, access permissions are managed using roles and permissions. Privacera PolicySync synchronizes access policies from Privacera to Databricks SQL, ensuring consistent policy enforcement. When users authenticate with Databricks SQL and execute SQL operations, access policies are enforced based on their identity and the permissions assigned to them.
The following section describes in detail how the policies are translated to Databricks SQL roles and permissions.
- Prev topic: Connector Guide