Databricks releases, every cloud
- Lakebase backup schedule API (Beta)
Manages automated snapshot cadences and retention. Available to all Lakebase workspaces.
- Variant shredding will soon be enabled by default on new Variant tables Coming soon
Requires Databricks Runtime 17.3 or above. Breaks compatibility with Databricks Runtime 15.4.
- Dashboard enhancements and bug fixes
The dataset results table and metric view preview grid now include features like column pinning and natural-language filtering.
- Lakebase snapshots API (Beta)
Manages point-in-time snapshots of project branches, allowing create, get, list, delete, and restore operations.
- 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Standard performance mode is now available for one-time runs in the Jobs API
Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.
- Dashboard enhancements
Supports more Tableau calculations and relationship-scoped filters.
- Databricks SQL version 2026.36 is rolling out in Current
It includes features from version 2026.32.
- 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
It converts SQL datasets to local metric views and understands SQL dataset parameters.
- Environment version 6 is now available
Supports serverless and standard classic compute.
- Databricks SQL version 2026.36 is now available in Preview
It includes features from version 2026.32.
- Dashboard enhancements and bug fixes
Embedded dashboards support filter APIs and rich text formatting for dynamic data references.
- Databricks SQL version 2026.32 is rolling out in Current
It is available in the Current channel and includes new features.
- Postgres minor version updates
Updates to 16.15, 17.11, and 18.6, applied on compute restart.
- Dashboard enhancements and bug fixes
Authors can hide pages in published dashboards. Table column headers can be aligned independently of cells.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Lakebase Postgres APIs are now generally available
Supports operations for projects, branches, and databases through REST API, CLI, and SDKs.
- Dashboard enhancements and bug fixes
Imports reports from Power BI and Tableau. Downloads up to 1 million Excel rows.
- Databricks SQL version 2026.32 is now available in Preview
It includes the is_valid_variant function and supports REPLACE USING and REPLACE ON clauses with INSERT INTO.
- REPLACE USING flows for standalone streaming tables (Beta)
Replaces rows matching specified key columns, requires SEQUENCE BY column.
- Alert system tables are in Public Preview
Contains alerts and alert_evaluation_history tables for auditing and monitoring.
- Change data feed on materialized views (Beta)
Requires Databricks Runtime 18 LTS or above. Enables replication to external destinations.
- Dashboard enhancements and bug fixes
Authors can remove duplicate subscribers from dashboard schedules. Fixes bugs including duplicate schedule emails and incorrect tooltips.
- 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.
- Dashboard enhancements and bug fixes
Visualization widget titles and descriptions now support rich text formatting. Pivot tables also fix grand totals display.
- Dashboard enhancements and bug fixes
Genie Code now creates dashboard relationships from imported BI files and supports full undo and redo.
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
Genie Code is now generally available for dashboard authoring. It adds image widget support.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase update notifications now post 3 days in advance
Replaces 7-day notice, check project settings for upcoming updates.
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 for dashboards. Run now option is added to dashboard schedules.
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
Import BI files uses Genie Code and supports Power BI and Tableau reports. Ask Genie now handles partially supported datasets.
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, and every item links to the note it came from. The one-line summaries are ours.