Databricks releases, every cloud
- Base environments are now supported on classic compute (Beta)
Manages Python dependencies using Databricks-provided or custom environments.
- 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.
- The counter_diff SQL window function is now available
Calculates differences between consecutive cumulative counter values, available in Databricks Runtime 19 and above.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Window measures on a numeric index column in metric views
Supports unitless offset and ranges on consecutive integer columns, useful for non-calendar periods like fiscal weeks.
- 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.
- 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.
- See which chunks support each ai_search answer (Beta)
Added generate_citations option to show supporting chunks.
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- time_bucket SQL function aligns timestamps to fixed-width time buckets
Replaces date_trunc for non-calendar units, requires origin and width parameters.
- Zerobus Ingest into default storage is now in Public Preview
Supports tables backed by default storage, requires Lakeflow Connect setup.
- Environment version 6 is now available
Supports serverless and standard classic compute.
- Git Folder Serverless is in Beta
Shares serverless compute and pyproject.toml environment across notebooks and files.
- Apache Arrow support for Zerobus Ingest is now generally available
Replaces JSON and Avro formats, requires Lakeflow Connect.
- 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.
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.