Databricks releases, every cloud
- 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.
- OpenAI GPT-5.2 Codex now available as a Databricks-hosted model
Excels at code generation and refactoring tasks. Accessible via Foundation Model APIs pay-per-token.
- OpenAI GPT-5.2 Codex now available as a Databricks-hosted model
Excels at code generation and debugging tasks, accessed via Foundation Model APIs pay-per-token.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Knowledge Assistant is now available in more regions
Available in us-east-2, ca-central-1, eu-central-1, eu-west-1, ap-southeast-1, and ap-southeast-2. Requires cross-geo processing in ap-southeast-1 and ap-southeast-2.
- Managed MCP servers is now Public Preview
Allows AI agents to connect to Databricks resources and external APIs.
- Google Drive connector (Beta)
Supports read_files, spark.read, COPY INTO, and Auto Loader for ingesting files.
- Ingest Salesforce formula fields incrementally (Beta)
Replaces snapshotting with incremental ingestion, improving performance and reducing costs.
- Knowledge Assistant is now generally available
Available in select US regions for workspaces without Enhanced Security.
- Row filtering for managed ingestion connectors (Beta)
Applies conditions like a SQL WHERE clause, available for Google Analytics, Salesforce, and ServiceNow connectors.
- OpenAI GPT-5.1 Codex Max and Codex Mini now available as Databricks-hosted models
Access via Foundation Model APIs pay-per-token, subject to OpenAI's Acceptable Use Policy.
- OpenAI GPT-5.1 Codex Max and Codex Mini now available as Databricks-hosted models
Supports code generation and refactoring via Foundation Model APIs. Requires pay-per-token access.
- Anthropic Claude Haiku 4.5 now available as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis.
- 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.
- Updated Lakeflow Jobs UI is generally available
Simplifies job creation and editing, see Lakeflow Jobs for details.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Gemini 3 Flash now available as a Databricks-hosted model
Offers speed and scale for video analysis and data extraction. Requires no setup.
- 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.
- OpenAI GPT-5.2 now available as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis.
- 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.
- Spark Declarative Pipelines on Lakeflow stream progress metrics are generally available
Supports querying event log for stream progress metrics.
- Anthropic Claude Opus 4.5 now available as a Databricks-hosted model
Accessible via Foundation Model APIs and AI Functions, supports pay-per-token and batch inference workloads.
- 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.
- Google Gemini 3 Pro Preview now available as a Databricks-hosted model
Accessible via Foundation Model APIs and AI Functions, supporting pay-per-token and batch inference workloads.
- Google Gemini 3 Pro Preview now available as a Databricks-hosted model
Accessible via Foundation Model APIs and AI Functions for pay-per-token and batch inference workloads.
- Jobs can now be triggered on source view update
Supports views referencing supported table types, see documentation for specifics.
- Databricks SQL alerts are now in Public Preview
Offers a new editing experience, replacing the previous version.
- Improved full refresh flow for managed database connectors
Reduces downtime by delaying table refresh until snapshot completion, minimizing PENDING_RESET errors.
- OpenAI GPT-5.1 now available as a Databricks-hosted model
Accessible via Foundation Model APIs and AI Functions for pay-per-token and batch inference workloads.
- Convert foreign tables to Unity Catalog managed or external tables (Public Preview)
Requires Databricks Runtime 17.0 LTS or above. Uses ALTER TABLE SET MANAGED or SET EXTERNAL.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.