Databricks releases, every cloud
- Metastore-level ABAC policies are in Beta
Applies across every catalog in the metastore. Replaces per-catalog policy setup.
- 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.
- 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.
- JAR tasks on serverless compute will soon be available for workspaces with the compliance security profile enabled Coming soon
Replaces cluster provisioning, available in Lakeflow Jobs.
- Session restore for serverless jobs is in Public Preview
Restores Python variables and Spark session into a new notebook for debugging or exploration, requires eligible serverless compute job runs.
- Standard performance mode is now available for one-time runs in the Jobs API
Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.
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- Maintenance windows for continuous pipelines
Sets daily 1-hour window for platform updates. Configured via Jobs UI, Pipelines UI, or Jobs REST API.
- Managed tables in Lakeflow pipelines (Beta)
Creates tables that Lakeflow manages, replacing manual table creation, and supports migrating existing Structured Streaming workloads.
- Anaplan connector (Beta)
Ingests Anaplan audit trail events and user account records into Databricks.
- Anysphere Organization connector (Beta)
Ingests organization members and groups into Databricks via Anysphere Admin API. Requires API key authentication.
- Celigo connector (Beta)
Ingests Celigo audit log events into Databricks using an API token.
- 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.
- Incremental ingestion for Salesforce formula fields in Lakeflow Connect will soon be generally available Coming soon
Replaces full snapshot default, improving performance and reducing cost.
- Zerobus Ingest into default storage is now in Public Preview
Supports tables backed by default storage, requires Lakeflow Connect setup.
- Apache Arrow support for Zerobus Ingest is now generally available
Replaces JSON and Avro formats, requires Lakeflow Connect.
- Automatic change data feed is now generally available
Requires Databricks Runtime 19 or above with row tracking enabled. Makes MERGE and UPDATE operations about 15% faster.
- Databricks Runtime 19: September 1, 2026
Replaces manual change data feed enablement, requires row tracking enabled.
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- Databricks Runtime maintenance updates (09/01)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
- ABAC GRANT policies are generally available for models and services
Replaces individual privilege grants with governed tag matching.
- Pipeline events system table is in Beta
Records Lakeflow pipeline event logs, capturing lifecycle transitions and errors, for querying and building alerts.
- Unity Catalog Skills (Beta)
Publishes and governs agent skills, controlling access with Unity Catalog permissions.
- Atlassian Audit Logs connector (Beta)
Ingests Atlassian organization audit log events using an API key.
- Genie Code is now available as a Lakeflow Jobs task (Beta)
Runs prompts autonomously, reading upstream outputs and calling tools as needed, returning a conversation link.
- Zerobus Ingest into streaming tables is now generally available
Works like writing to a managed Delta table with same limits and quotas.
- Anysphere Audit Logs connector (Beta)
Uses Anysphere Admin API to ingest audit-log events, requires Cursor Admin API key.
- 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.
- Verkada connector (Beta)
Ingests Verkada organization audit logs and access users using a Verkada API key.
- 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.
- Default Python package repositories are GA for Lakeflow pipelines and classic compute
Supports private or authenticated registries as workspace defaults. Applies to UI and API created classic compute.
- Performance mode now applies to materialized view and streaming table refreshes from dbt tasks
Now applies to dbt tasks, with optional Standard mode for lower costs, increasing latency to 4-6 minutes.
- Salesforce connector mTLS authentication is now generally available
Replaces OAuth client credentials flow for API-only users, requires client certificates.
- 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.
- 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.
- Workiva connector (Beta)
Ingests Workiva audit activity, users, and roles using OAuth2 client credentials.
- Gmail connector in Lakeflow Connect (Beta)
Ingests messages, labels, drafts, filters, and profile data using a Google service account.
Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.