Databricks releases, every cloud
- Databricks SQL version 2025.40 is rolling out in Current
Replaces version 2025.39, requires no setup changes.
- Personal access tokens preserved when CAN USE permission is revoked
Tokens become unusable but not deleted when permission is revoked, and reactivate if restored.
- JAR tasks on serverless compute is now in Public Preview
Allows running JAR jobs without a cluster.
- Scoped personal access tokens (Beta)
Limits permissions by selecting token type and API scopes, replacing legacy tokens.
- TikTok Ads connector (Beta)
Ingests data from TikTok Ads into Databricks.
- File events enabled by default on new external locations
Enabled on new locations, detects file changes for storage jobs and pipelines, can be disabled after creation.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- HubSpot connector (Beta)
Ingests HubSpot Marketing Hub data into Databricks via Lakeflow Connect.
- Configure default Python package repositories for Spark Declarative Pipelines on Lakeflow (Public Preview)
Allows installation from internal Python repositories without index-url or extra-index-url. Requires workspace admin configuration.
- Databricks SQL version 2025.40 is now available in Preview
Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.
- Applying filters, masks, tags, and comments to pipeline-created datasets is now GA
Modifies ETL and ingestion pipelines using CREATE, ALTER, or Lakeflow UI. Applies to Spark Declarative Pipelines on Lakeflow and Lakeflow Connect.
- Google Ads connector (Beta)
Ingests data from Google Ads into Databricks via Lakeflow Connect.
- Zendesk Support connector (Beta)
Ingests ticket, help center, and community forum data from Zendesk Support.
- Trigger on update for pipelines (GA)
Refreshes pipeline when source table changes, usable in Databricks SQL pipeline schedules.
- View and restore your recent workspace tab sessions
Restores up to 10 recent sessions.
- Serverless workspaces are now generally available
Come pre-configured with serverless compute and default storage.
- Google Drive connector (Beta)
Supports read_files, spark.read, COPY INTO, and Auto Loader for ingesting files.
- Front-end PrivateLink for performance-intensive services (Beta)
Supports private connectivity to Zerobus Ingest and Lakebase Autoscaling.
- You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs
Defined with YAML files, they support Python, Python wheel, and notebook tasks.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Ingest Salesforce formula fields incrementally (Beta)
Replaces snapshotting with incremental ingestion, improving performance and reducing costs.
- Row filtering for managed ingestion connectors (Beta)
Applies conditions like a SQL WHERE clause, available for Google Analytics, Salesforce, and ServiceNow connectors.
- Automatic email notifications for expiring personal access tokens (GA)
Sends emails 14 days before token expiration, requires token lifetime to be set.
- Meta Ads connector (Beta)
Ingests data from Meta Ads, requires setup as a data source.
- MySQL connector in Lakeflow Connect (Public Preview)
Enables incremental data ingestion from various MySQL databases. Requires access request through account team.
- Context based ingress control is now in Public Preview
Enables account admins to set allow and deny rules based on identity, request type, and network source.
- Confluence connector (Beta)
Ingests Confluence spaces and pages into Databricks, requires OAuth U2M configuration.
- PostgreSQL connector in Lakeflow Connect (Public Preview)
Enables incremental data ingestion from various PostgreSQL databases. Requires configuration.
- Change owner for materialized views or streaming tables defined in Databricks SQL
Done through Catalog Explorer, replacing previous methods.
- Customizable SharePoint connector (Beta)
Ingests structured, semi-structured, and unstructured files into Delta tables with customizable schema inference and parsing options.
- Discover files in Auto Loader efficiently using file events
Requires file events enabled on external locations. Replaces directory listing for efficiency.
- Jira connector (Beta)
Ingests Jira issues, comments, and attachments metadata into Databricks.
- Microsoft Dynamics 365 connector (Public Preview)
Ingests data from Dynamics 365 apps into Databricks. Requires Lakeflow Connect.
- NetSuite connector (Public Preview)
Ingests data from NetSuite2.com via API, CLI, or notebook.
- ForEachBatch for Spark Declarative Pipelines on Lakeflow is available (Public Preview)
Allows processing streams as micro-batches in Python. Requires Lakeflow setup.
- Expanded regional availability for C5 and TISAX compliance
Now available in all regions and with serverless compute.
- Spark Declarative Pipelines on Lakeflow stream progress metrics are generally available
Supports querying event log for stream progress metrics.
- Configure full refresh behavior for managed database connectors
Applies to Lakeflow Connect managed database connectors, allowing scheduled full refresh snapshots and automatic recovery from unsupported schema changes.
- Automatic email notifications for expiring personal access tokens (Public Preview)
Sends emails 7 days before token expiration.
- Databricks SQL version 2025.35 is rolling out in Current
Includes new features, see documentation for details.
- Delta Sharing views automatically permitted in serverless network policies
Permitted regardless of storage location alignment between shared tables and view dependencies. Simplifies network policy configuration.
- Jobs can now be triggered on source view update
Supports views referencing supported table types, see documentation for specifics.
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