Databricks releases, every cloud
- 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.
- 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- 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.
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- 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
The new editing experience replaces the previous one. It requires the latest 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.
- SFTP connector (Public Preview)
Extends Auto Loader to ingest files from SFTP servers.
- Lakeflow Declarative Pipelines has been renamed to Lakeflow Spark Declarative Pipelines
Replaces Lakeflow Declarative Pipelines, see Spark Declarative Pipelines for details.
- New MCP server tab
Shows managed and external servers, and lists available servers from Databricks Marketplace.
- 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.
- Feedback model deprecated for AI agents
Replaced by log_feedback API in MLflow 3.
- Request logs and assessment logs tables deprecated
Replaced by MLflow 3 for real-time tracing, stops populating November 15, 2025.
- OpenAI GPT 5 models are now generally available in Mosaic AI Model Serving
Includes GPT-5 mini and nano models.
- Gemini 2.5 Pro and Flash models now supported on pay-per-token endpoints
Supports pay-per-token endpoints and Function calling.
- New alert editing experience
Replaces old editor with a multi-tab editor for unified workflow.
- Unified runs list (Public Preview)
Combines job and pipeline runs into one list.
- 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.
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