Privacera and Databricks users can now facilitate data discovery and consistent data access across the Databricks Lakehouse Platform, including seamless migration of existing Privacera policies.
With this latest integration, Privacera increases the ability for its users to provide a holistic unified data security platform protecting all data assets including on-premise legacy data sources, modern cloud-native data warehouses, modern data lakehouses, and data mesh architectures.
The Privacera integration for Unity Catalog is available on Databricks Partner Connect. Users can easily trial the new capabilities and spin-up Privacera and Databricks together, all through pre-configured integration settings.
This allows users to instantly test a secure and well-governed data lakehouse with a few simple administrative steps.
The Privacera integration for Unity Catalog supports:
- Table/View level access control;
- Dynamic, column-level data masking;
- Dynamic row-level filtering;
- Attribute-based access control;
- Tag-based policies; and
- File and object level access control
“Securing and governing the modern data lakehouse is a non-trivial challenge for its users and that’s why we’ve invested in extending our modern data security governance capabilities to the Unity Catalog-powered data lakehouse,” said Balaji Ganesan, CEO of Privacera.
“Our users can seamlessly apply the security and governance controls to Unity Catalog and other sources with ease and at scale, and through a proven, open security standard,” Ganesan continued.
“We continue enhancing the data security ecosystem to enable every BI user, data scientist, and data engineer to securely build new applications in the Databricks Lakehouse Platform,” said Ariel Amster, Director of Strategic Technology Partners at Databricks.
“Privacera’s new, open integration for Unity Catalog is a great expansion of our partnership and further supports our customers with securing and governing the data lakehouse,” Amster added.