Databricks releases, every cloud
- Email notifications for expiring service principal tokens (Beta)
Sends emails to workspace admins when tokens expire in 7 days, requiring no configuration.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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.
- Endpoint telemetry for custom model serving endpoints is generally available
Persists OpenTelemetry logs, traces, and metrics to Unity Catalog tables.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Lakehouse Replay (Beta)
Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Anthropic Claude Fable 5 now available as a Databricks-hosted model
Requires pay-per-token Foundation Model APIs.
- Identity federation enabled by default for all new workspaces
Does not affect existing workspaces.
- Reorganized Spark Declarative Pipelines on Lakeflow documentation
Conceptual topics are now under Concepts.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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) - Inbound Private Link for performance-intensive services is now generally available
Supports Lakebase Autoscaling and Zerobus Ingest.
- Upcoming behavior change: Choose entitlements when adding principals to workspaces Coming soon
Grants entitlements explicitly when adding principals, replacing inheritance from users system group.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - AWS Graviton instances are now supported with the compliance security profile
Supports all compliance standards in AWS commercial regions and GovCloud.
- Foundation model Unity Catalog permissions is generally available
Requires account team enablement, controls access to system.ai schema.
- UNIQUE constraint support is now in Public Preview
Enables join elimination and DISTINCT simplification on Photon-enabled compute. Applies to Unity Catalog Delta Lake tables.
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.
- Full page Genie Code (Beta)
Runs multiple threads in parallel, personalizes with skills and servers.
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
- Intra-VNet NSG rule hardening for Azure Databricks is now in Public Preview
Restricts workspace traffic to host and worker subnet CIDRs. Applies to classic compute plane workspaces.
- Compliance security profile required for HIPAA, HITRUST, and IRAP Coming soon
Required starting September 1, 2026, for HIPAA, HITRUST, and IRAP data.
- Anthropic Claude Opus 4.8 now available as a Databricks-hosted model
Access via Foundation Model APIs, pay-per-token.
- Refresh policies and EXPLAIN CREATE MATERIALIZED VIEW for materialized views are now generally available
Requires Databricks Runtime 17.3 and above. Available in Databricks SQL.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Automatic identity management with Microsoft Entra ID is now GA
Replaces SCIM provisioning, syncs users and groups from Microsoft Entra ID.
AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP, read it on their docs - Databricks SQL version 2026.15 is now available in Preview
XPath no longer fetches external DTDs, fixing failures from malformed URLs.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Removed legacy Assistant slash commands
/settings and /rename are replaced by notebook UI settings and rename options.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Genie Code Agent mode is now available by default for workspaces with the compliance security profile enabled
Requires HIPAA, PCI-DSS, and FedRAMP Moderate controls. Automates code generation and error fixing.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Postgres password authentication is now disabled by default for new Lakebase projects
Existing projects are unaffected, enable in project settings to allow.
- Configure Microsoft Entra ID SSO for Power BI (Public Preview)
Uses account-level federation policy, replacing manual config.
- Customer-managed keys for Lakebase available in all AWS and Azure regions
Encrypts project data at rest using a custom cloud KMS key. Available for new projects.
- Fixed LOD expression syntax update for metric views
Uses SQL window functions, replacing two-step pre-computation approach.
- Agent Bricks Supervisor Agent now supports nesting supervisor agents as subagent tools
Enables nested multi-agent orchestration by adding Supervisor Agents as subagent tools.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Azure Databricks Add-in for Excel support for all compliance security profile standards
Supports all Azure Databricks compliance security profiles.
- Customer-managed keys now support MLflow managed evaluation features
Supports MLflow 3 scorers and requires non-CMK encrypted catalog.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Add-in for Excel support for all compliance security profile standards
Supports all Databricks compliance security profiles. Requires Public Preview.
- Google Gemini 3.5 Flash now available as a Databricks-hosted model
Accessible via Foundation Model APIs, requires compliance with applicable terms.
- Agent Bricks Supervisor Agent now supports Unity Catalog tables as subagent tools
Adds Unity Catalog tables as subagent tools, usable in coordinated multi-agent systems.
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 vector search indexes as subagent tools
Adds support for vector search indexes as subagent tools, usable in coordinated multi-agent systems.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Share Genie Code chat threads
Recipients get read-only access, can be users, groups, or service principals.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks SQL alerts are now generally available
Monitors data and KPIs by running scheduled queries, notifying recipients when conditions are met.
- ai_parse_document is now available by default for workspaces with the compliance security profile enabled
Requires compliance security profile and specific controls like HIPAA and PCI-DSS. Parses structured content from unstructured documents.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.