Databricks releases, every cloud
- Standalone pipelines on serverless general compute (Beta)
Requires serverless general compute, created via SQL or Python.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - GitHub managed ingestion connector (Beta)
ingests GitHub data into Databricks, available in Lakeflow Connect.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Outlook managed ingestion connector (Beta)
Ingests email data from Microsoft Outlook into Databricks.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Smartsheet managed ingestion connector (Beta)
Ingests Smartsheet data into Databricks, available in Lakeflow Connect.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Community connectors (Beta)
Extends Lakeflow Connect to unsupported sources, built by the community.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Native data profiling for results tables in the SQL editor
Select column headers and click Open selection details to view statistics.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Agent Bricks Supervisor Agent now supports custom MCP servers and custom agents on Databricks Apps
Adds support for custom MCP servers and custom agents hosted in Databricks Apps as subagents.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - agg SQL function as a synonym for measure
Replaces measure, used as agg(measure_column) in metric views.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Zendesk Support connector (GA)
Allows syncing Zendesk tickets to Databricks.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Confluence connector (GA)
Allows reading Confluence spaces and pages into Databricks.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Manage Supervisor Agent programmatically with the Databricks SDK (Beta)
Creates and manages Supervisor Agent and tools via Python SDK. Requires Databricks SDK for Python.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - OpenAI GPT-5.5 and GPT-5.5 Pro now available as Databricks-hosted models
Access via Foundation Model APIs on a pay-per-token basis, requiring compliance with applicable terms.
- Databricks SQL version 2026.10 is rolling out in Current
Replaces version 2026.09, requires no configuration changes.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - CPU_MEDIUM and CPU_LARGE workload types for Model Serving (Beta)
Trade concurrency for more memory per worker on same CPU hardware, for models needing more memory than standard CPU workload.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Supervisor API for building agents (Beta)
Replaces multiple API calls with a single call to build agents.
- Anthropic Claude Opus 4.7 now available as a Databricks-hosted model
Accessible via Foundation Model APIs, supports pay-per-token queries.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - AI Gateway now governs MCP servers (Beta)
Enforces access control and monitors usage across MCP interactions, replacing prior governance methods.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - New cascade field for deleting Unity Catalog pipelines (Beta)
Deletes associated materialized views and tables by default, set cascade=false to retain them.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- ai_prep_search (Beta)
Transforms ai_parse_document output into search-ready chunks for vector search and RAG pipelines.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Agent Bricks Knowledge Assistant and Supervisor Agent are now available in additional regions
Available in ap-south-1 region, requires cross-geo processing.
- Agent Bricks Knowledge Assistant and Supervisor Agent are now available on GCP
Available in 6 GCP regions, requiring cross-geo processing in europe-west3 and asia-southeast1.
- Databricks Documentation site table of contents tabs
Replaces static sidebar with tabbed navigation, includes 6 context tabs.
- Agent Bricks now covers all Databricks AI capabilities
Covers declarative agents and all other Databricks AI capabilities.
- Databricks SQL version 2026.10 is now available in Preview
Fixes observation metric errors, optimizes Unity Catalog writes, and uses session timezone for timestamp partitions.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Supervisor Agent supports long-running tasks
Supports tasks that exceed 2-minute timeout, using task continuation.
- OpenAI GPT-5.4 mini and GPT-5.4 nano now available as Databricks-hosted models
Access via Foundation Model APIs pay-per-token, requires compliance with OpenAI's Acceptable Use Policy.
- Search in metric views fix
Now returns correct results across paginated results and supports filtering by display name.
- 5X-Large SQL warehouse size (Beta)
Available in all supported regions, controlled from Previews page.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks SQL pipelines support notifications and performance mode (Beta)
Supports failure notifications and serverless performance mode for materialized views and streaming tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Workday HCM connector (Beta)
Ingests Workday Human Capital Management data into Databricks.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Google Gemini 3.1 Flash Lite now available as a Databricks-hosted model
Access via Foundation Model APIs or AI Functions, supporting pay-per-token and batch inference workloads.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - OpenAI GPT-5.4 now available as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis, requires compliance with OpenAI's Acceptable Use Policy.
- Supervisor Agent is now available in additional regions
Now available in 9 more regions, see list of supported regions for details.
- Managed OAuth flows for external MCP servers
Eliminates need to register own OAuth app, supports Glean, GitHub, Google Drive, and SharePoint APIs.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - OpenAI GPT-5.3 Codex now available as a Databricks-hosted model
Available via Foundation Model APIs pay-per-token, requiring compliance with OpenAI's Acceptable Use Policy.
- Change to use_case field in VPC endpoint API responses Coming soon
Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
- Databricks SQL version 2025.40 is rolling out in Current
Replaces version 2025.39, requires no setup changes.
- Google Gemini 3.1 Pro Preview now available as a Databricks-hosted model
Access via Foundation Model APIs, AI Functions for batch inference.
- TikTok Ads connector (Beta)
Ingests data from TikTok Ads into Databricks.
- Anthropic Claude Sonnet 4.6 now available as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.