Databricks releases, every cloud
- Dashboard enhancements and bug fixes
Adds image widget, improves multi-select filters, and fixes cross-filtering and scrollbar bugs. Genie Code for dashboard authoring is now generally available.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Priority pay-per-token for Foundation Model APIs
Priority mode is for latency-sensitive applications, requiring partner or open source models.
- Google Gemini 3.5 Flash Lite now available as a Databricks-hosted model
Accessible via Foundation Model APIs, requires compliance with applicable terms.
- Google Gemini 3.6 Flash now available as a Databricks-hosted model
Accessible via Foundation Model APIs, requires compliance with applicable terms.
- Meta Llama 4 Maverick is retired
Replaced by OpenAI GPT OSS 120B, no longer on Google Cloud.
- Dashboard enhancements and bug fixes
Git folders are now generally available, and schedules can be run on demand.
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
- Google Gemini 3 Pro is retired
Replaced by Gemini 3.1 Pro.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - MLflow trace storage in Unity Catalog will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Stores MLflow traces in Unity Catalog tables with unlimited storage and OTel format. Requires compliance security profile.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - ai_extract and ai_classify are now available by default for workspaces with the compliance security profile enabled
Replaces manual text extraction and classification workflows, requires compliance security profile.
- Thinking Machine Labs Inkling now available as a Databricks-hosted model in Public Preview
Supports text and image inputs with a 1 million token context window. Access via Foundation Model APIs.
- Azure Databricks-provided MCP Services will GA soon Coming soon
Enables read and write operations by default for tools like Slack and GitHub, and can be disabled in Unity Gateway.
- Databricks-provided MCP Services will GA soon Coming soon
Enables read and write operations for Slack, GitHub, and others by default, can be disabled in Unity Gateway.
- Dashboard enhancements and bug fixes
Import BI files uses Genie Code, supports Power BI and Tableau reports.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - OpenAI GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna now available as Databricks-hosted models
Access via Foundation Model APIs on a pay-per-token basis, requiring compliance with applicable terms.
- Anthropic Claude Sonnet 4 is scheduled for retirement
Replaced by Claude Sonnet 4.6, retiring October 9, 2026.
- Google Gemini 2.5 Flash and Pro are scheduled for retirement
Replaced by Gemini 3.1 Pro or Gemini 3.5 Flash, retiring October 2, 2026.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Restrict access to AI Functions with Unity Catalog permissions (Public Preview)
Requires account team enablement, restricts access to task-specific AI Functions.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Zhipu AI GLM 5.2 now available as a Databricks-hosted model
Supports 1 million token context window and long-horizon reasoning. Accessed via Foundation Model APIs.
AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP, read it on their docs - Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Budgets are now generally available
Define spending thresholds with optional per-user overrides and actions like email alerts.
- Dashboard enhancements and bug fixes
Imports Power BI and Tableau reports as AI/BI dashboards. Adds STRING_AGG function for concatenating strings.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Dashboard relationships (Public Preview)
Builds complex multi-fact data models for AI/BI dashboards.
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 Image and Gemini 3 Pro Image now available as Databricks-hosted models
Accessible via Foundation Model APIs, requiring customer compliance with applicable terms.
- Anthropic Claude Sonnet 5 now available as a Databricks-hosted model
Accessible via Foundation Model APIs, requiring compliance with applicable terms.
- Genie Code Chat/Agent mode selector removed
Genie Code now runs exclusively in Agent mode, use prompts to disable autonomous task execution.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Dashboard enhancements and bug fixes
Annotations can be driven by data or calculations, and 6 new preset themes are available.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Managed agent memory is in Beta
Stores memory in Unity Catalog memory stores, accessed through REST API.
- Dashboard enhancements
Adds table header color customization and local metric view parameters.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Omnigent coding agent meta-harness is now in Beta
Wraps coding agents like Claude Code and Codex with a common platform. Swap runtimes with one line of configuration.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - ai_query is now generally available
Lets you query AI models from SQL or Python.
- Faster inference tables for custom model serving endpoints
Ingests through endpoint telemetry, with configurable sampling, and requires AI Gateway setup.
- Agent Bricks Supervisor Agent now supports Unity Catalog volumes as subagent tools
Adds Unity Catalog volumes as subagent tools, allowing coordinated access.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - ai_classify is now generally available
Classifies text content according to custom labels with support for multi-label classification.
- ai_extract is now generally available
Extracts structured data from text and documents according to a provided schema. Supports nested objects and arrays.
- Dashboard enhancements and bug fixes
Gantt charts require matching start and end field types. Custom visualizations use Vega-Lite library.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Endpoint telemetry for custom model serving endpoints is generally available
Persists OpenTelemetry logs, traces, and metrics to Unity Catalog tables.
- Anthropic Claude Fable 5 now available as a Databricks-hosted model
Requires pay-per-token Foundation Model APIs.
- AI Search supports selected text columns, sorting, and aggregations (Beta)
Supports keyword matching in selected columns, sorting by indexed columns, and aggregate counts.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Foundation model Unity Catalog permissions is generally available
Requires account team enablement, controls access to system.ai schema.
- Dashboard enhancements
Saves filter combos as shared bookmarks, adds pivot table column expansion.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Agent Bricks Supervisor Agent now supports web search as a built-in tool
Returns synthesized answers with source citations, also available as databricks_web_search tool in Supervisor API.
Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.