Databricks releases, every cloud
- HubSpot connector (Beta)
Ingests HubSpot Marketing Hub data into Databricks via Lakeflow Connect.
- Databricks SQL version 2025.40 is now available in Preview
Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.
- Google Ads connector (Beta)
Ingests data from Google Ads into Databricks via Lakeflow Connect.
- Lakebase now available on Azure (Beta)
Lakebase on Azure offers autoscaling compute and scale-to-zero. Supported regions include eastus2, westeurope, and westus.
- 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- View and restore your recent workspace tab sessions
Restores up to 10 recent sessions.
- Google Drive connector (Beta)
Supports read_files, spark.read, COPY INTO, and Auto Loader for ingesting files.
- Manage Lakebase from the Lakebase App
Replaces Compute tab navigation in Lakehouse UI, accessed via apps switcher.
- 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.
- Connect to Lakebase from the SQL editor with read-write access
Supports full read-write access, see documentation for setup.
- Lakebase metrics dashboard
Monitors system and database health with metrics like RAM and CPU usage.
- Meta Ads connector (Beta)
Ingests data from Meta Ads, requires setup as a data source.
- Lakebase ACL support
Grants CAN CREATE or CAN MANAGE permissions from project settings.
- Confluence connector (Beta)
Ingests Confluence spaces and pages into Databricks, requires OAuth U2M 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.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- 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.
- 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.
- Databricks SQL version 2025.35 is rolling out in Current
Includes new features, see documentation for details.
- Jobs can now be triggered on source view update
Supports views referencing supported table types, see documentation for specifics.
- Improved full refresh flow for managed database connectors
Reduces downtime by delaying table refresh until snapshot completion, minimizing PENDING_RESET errors.
- Lakeflow Declarative Pipelines has been renamed to Lakeflow Spark Declarative Pipelines
Replaces Lakeflow Declarative Pipelines, see Spark Declarative Pipelines for details.
- SQL Editor visualization fix
Tooltips now display in front of the legend.
- JAR tasks are now supported on serverless compute
Run JAR jobs without a cluster.
- Salesforce ingestion connector supports history tracking (SCD type 2)
Enables history tracking, overwriting default SCD type 1 behavior.
- Databricks SQL version 2025.35 is now available in Preview
Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.
- Lakebase (Beta) now available
Adds autoscaling and database branching on AWS, separate from Public Preview.
- New alert editing experience
Replaces old editor with a multi-tab editor for unified workflow.
- Jobs can now be triggered on source table update
Triggers require Databricks Runtime 7.0 or later.
- Create backfill job runs
Triggers job runs to load past data, useful for repairing processing failures.
- Visualizations fix
Fixes legend selection for charts with aliased series names in SQL editor and notebooks.
- Semantic metadata in metric views
Requires YAML 1.1 and Databricks Runtime 17.3 or higher.
- New requirement to create connections for Salesforce ingestion
Requires Databricks connected app installed. Applies to new connections only.
- Databricks SQL version 2025.30 is now available in Preview
Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.
- Google Analytics Raw Data connector GA
Enables ingestion of raw Google Analytics data into Databricks, requires Google Analytics 4 and Google BigQuery setup.
- Python custom data sources can be used with Spark Declarative Pipelines on Lakeflow
Supports Python custom data sources and sinks in pipeline definitions.
- SQL Server connector supports SCD type 2
Maintains a history of changes, rather than overwriting outdated records.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.