Databricks releases, every cloud
- Scala UDFs can access Unity Catalog secrets
They use the caller's or function owner's permissions. Requires environment version 6 or Databricks Runtime 19.
- Scalar and Batch Unity Catalog Python UDFs are now generally available
They work on all supported compute types and remove the five-UDF-call-per-query limit. Environment version 6 or above is required for some capabilities.
- Lakebase backup schedule API (Beta)
Manages automated snapshot cadences and retention. Available to all Lakebase workspaces.
- Lakebase Search is generally available
Adds scalable vector and keyword search to Lakebase projects via Postgres extensions.
- Metastore-level ABAC policies are in Beta
Applies across every catalog in the metastore. Replaces per-catalog policy setup.
- VARIANT cast extends to ARRAY and MAP columns in ABAC column masks
Requires Databricks Runtime 19 or above. Supports ARRAY and MAP in addition to STRUCT.
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- Data Classification now scans Unity Catalog views (Beta)
Scans Unity Catalog views in addition to tables, using the same detection engine, and is currently in Beta.
- Lakebase snapshots API (Beta)
Manages point-in-time snapshots of project branches, allowing create, get, list, delete, and restore operations.
- The READ METADATA privilege will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Grants read-only visibility into object metadata, including security-sensitive information.
- Standard performance mode is now available for one-time runs in the Jobs API
Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.
- External secrets in Unity Catalog (Beta)
Connects Unity Catalog schema to AWS Secrets Manager, appearing as read-only objects.
- ABAC DENY policies are in Beta
Explicitly deny MANAGE ACCESS CONTROL privilege, taking precedence over grants.
- Lakebase now supports PCI-DSS and HITRUST in all AWS regions
Requires compliance security profile enabled. Previously limited to us-east-1 region.
- Environment version 6 is now available
Supports serverless and standard classic compute.
- Lakebase now available in Azure Japan East region (japaneast)
Available in japaneast region, requires Postgres database setup.
- ABAC GRANT policies are generally available for models and services
Replaces individual privilege grants with governed tag matching.
- Unity Catalog Skills (Beta)
Publishes and governs agent skills, controlling access with Unity Catalog permissions.
- LTAP Direct Writes accelerates synced table loads (Beta)
Requires Postgres 17, enabled from Previews page. Writes directly to storage layer.
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- Genie Code is now available in the Lakebase project UI
Lets you run multi-step data and AI tasks with natural language input. Available for all Lakebase projects.
- Postgres minor version updates
Updates to 16.15, 17.11, and 18.6, applied on compute restart.
- Secrets in Unity Catalog will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Replaces manual enablement, uses catalog.schema.secret namespace.
- The INSERT, UPDATE, and DELETE privileges are in Beta
Require Databricks Runtime 18.1 or above, alternative to MODIFY privilege.
- Context attributes in ABAC column mask and row filter policies (Beta)
Targets request context, such as OAuth client ID and on-behalf-of status, in Unity Catalog policies.
- Lakebase adds compliance security profile standards on Azure
Supports ISMAP, IRAP, and UK Cyber Essentials Plus on Azure.
- Role-based access control (RBAC) is generally available
Requires account and workspace admin setup. Enables exclusive access to sensitive data.
- Role-based access control (RBAC) will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Lets users assume a role with exclusive permissions, replacing accumulated permissions.
- Lakebase available in four new Azure regions
Added to North Central US, France Central, Germany West Central, and East Asia regions.
- Identity attributes in ABAC column mask policies (Beta)
Targets users by attributes like department or country, using has_identity_attribute_value and has_identity_attribute_tag_match functions.
- Upcoming deprecation of the data quality monitoring downstream_impact column Coming soon
Deprecation starts September 7, 2026, and the column will no longer be populated after rollout.
- Upcoming deprecation of the data quality monitoring root_cause_analysis column Coming soon
Deprecation starts August 18, 2026, and the column will no longer be populated after rollout.
- Lakebase Postgres APIs are now generally available
Supports operations for projects, branches, and databases through REST API, CLI, and SDKs.
- Tags page in Governance Hub (Beta)
Provides a centralized view of tag usage, summarizes governed tags, and offers recommendations for invalid values. Requires account admins to enable from Previews page.
- Define business concepts with Pages (Beta)
Gives business terms a single governed definition, part of Unity Catalog semantics.
- Unity Catalog ABAC GRANT policies support more securable types in Beta
Now supports model services, model provider services, MCP services, and agent services, in addition to models.
- Lakebase now supports PCI-DSS and HITRUST
Requires compliance security profile, limited to us-east-1 on AWS.
- READ METADATA privilege is GA
Provides read-only visibility into security-sensitive metadata, including privilege grants and ABAC policies.
- Tag automations (Beta)
Assigns or removes governed tags on Unity Catalog tables or volumes based on defined conditions.
- JAR tasks on serverless compute are now generally available
Requires matching Scala, Java Development Kit, and Databricks Connect versions.
- Lakebase is enabled by default in compliance security profile workspaces
Replaces manual Lakebase enablement in HIPAA, C5, or TISAX workspaces.
- Schema-level HTTP connections in Unity Catalog are now generally available
Creates connections inside a schema, inheriting its privileges, instead of only at metastore level.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.