Understand the key technologies used in Databricks governance. Learn what each one does, when to use it, and when NOT to use it.
Unified governance for data and AI assets
Dynamic, policy-driven access control using tags
Simple, group-based permissions
Show different values to different users in the same column
SQL-based row filtering without ABAC complexity
Complete record of who did what, when, and to which data
You control the encryption keys, not just the data
Automatically discover and tag sensitive data across your lakehouse
Govern what tags exist and who can apply them
Machine identities for automated workloads — no human credentials
Keep Databricks traffic on your private network — never on the public internet
See where your data comes from and where it goes
Control what compute resources users can create
Automated data quality monitoring for your lakehouse tables
All data stored in Databricks is encrypted by default — AES-256
Not sure which technology to choose? Compare RBAC vs ABAC vs Dynamic Views or use the decision wizard