Databricks releases, every cloud
- Base environments are now supported on classic compute (Beta)
Manages Python dependencies using Databricks-provided or custom environments.
- Dashboard enhancements and bug fixes
Converts SQL datasets to local metric views and adds parameter support to Genie Code.
- Data Classification now scans Unity Catalog views (Beta)
Scans Unity Catalog views in addition to tables, using the same detection engine, and is currently in Beta.
- The counter_diff SQL window function is now available
Calculates differences between consecutive cumulative counter values, available in Databricks Runtime 19 and above.
- Window measures on a numeric index column in metric views
Supports unitless offset and ranges on consecutive integer columns, useful for non-calendar periods like fiscal weeks.
- Standard performance mode is now available for one-time runs in the Jobs API
Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Dashboard enhancements
Supports more Tableau calculations and relationship-scoped filters.
- See which chunks support each ai_search answer (Beta)
Added generate_citations option to show supporting chunks.
- time_bucket SQL function aligns timestamps to fixed-width time buckets
Replaces date_trunc for non-calendar units, requires origin and width parameters.
- Dashboard enhancements and bug fixes
Embedded dashboards now have filter APIs, and ranked table calculations are imported from Power BI and Tableau.
- Environment version 6 is now available
Supports serverless and standard classic compute.
- Git Folder Serverless is in Beta
Shares serverless compute and pyproject.toml environment across notebooks and files.
- Dashboard enhancements and bug fixes
Hides pages from published view, adds path map visualization and customizable table column header alignment.
- Default Python package repositories are GA for Lakeflow pipelines and classic compute
Supports private or authenticated registries as workspace defaults. Applies to UI and API created classic compute.
- Dashboard enhancements and bug fixes
Import from Power BI and Tableau is now generally available. Larger Excel downloads support up to 1 million rows.
- Manage project environments with %uv commands
Requires environment version 5 or above. Supports serverless notebooks.
- Dashboard enhancements and bug fixes
Removes duplicate subscribers from dashboard schedules, fixes duplicate emails and import issues.
- REPLACE USING flows for standalone streaming tables (Beta)
Replaces rows matching specified key columns, requires SEQUENCE BY column.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Alert system tables are in Public Preview
Contains alerts and alert_evaluation_history tables for auditing and monitoring.
- Target an Azure capacity reservation group for classic compute
Requires VNet injection, guarantees compute capacity for constrained VM types.
- Change data feed on materialized views (Beta)
Requires Databricks Runtime 18 LTS or above. Enables replication to external destinations.
- Dashboard enhancements and bug fixes
Supports rich text formatting in widget titles and descriptions. Adds run history for schedules.
- JAR tasks on serverless compute are now generally available
Requires matching Scala, Java Development Kit, and Databricks Connect versions.
- Format AI/BI dashboard widget titles and descriptions with rich text
Supports text styling, links, and tables via toolbar or markdown.
- Automatic cost attribution for materialized views and streaming tables in Databricks SQL
Inherits custom tags from enclosing SQL warehouse environment for billing.
- Serverless compute access control is now generally available
Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.
- Web terminal on serverless GPU compute (AI Runtime) is in Public Preview
Runs shell commands, monitors GPU usage, and manages files on serverless GPU compute. Requires environment version 5 or above.
- Dashboard enhancements and bug fixes
Genie Code now creates dashboard relationships from imported BI files and supports full undo and redo.
- Dedicated group clusters will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Enables shared compute for groups with compliance security profile, supporting Databricks Runtime for ML and RDD APIs.
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
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) - Warehouse-level statement timeouts (Beta)
Set via statement_timeout field in Create or Update warehouse APIs.
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
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) - Data Classification is now available by default for additional compliance standards
Requires compliance security profile with C5, TISAX, or IRAP controls.
- Serverless compute is now available in the Azure UK West region
Supports notebooks, jobs, pipelines, and SQL warehouses, with private connectivity.
- 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) - Databricks SQL alerts are now available by default for workspaces with the compliance security profile enabled
Supports all compliance security profile standards, monitors data and KPIs via scheduled queries.
- July 6, 2026
Updates from Databricks Runtime 18, adds Spark Declarative Pipelines and IP address functions.
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
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) - Lakehouse Real-Time (Beta)
Delivers sub-second SQL read queries against Unity Catalog tables. Built for low-latency workloads.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
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.