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.
- Lakebase Search is generally available
Adds scalable vector and keyword search to Lakebase projects via Postgres extensions.
- 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- 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.
- Lakebase now supports PCI-DSS and HITRUST in all AWS regions
Requires compliance security profile enabled. Previously limited to us-east-1 region.
- 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.
- Lakebase now available in Azure Japan East region (japaneast)
Available in japaneast region, requires Postgres database setup.
- 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.
- LTAP Direct Writes accelerates synced table loads (Beta)
Requires Postgres 17, enabled from Previews page. Writes directly to storage layer.
- Databricks SQL version 2026.32 is rolling out in Current
It is available in the Current channel and includes new features.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Genie Code is now available in the Lakebase project UI
Lets you run multi-step data and AI tasks with natural language input. Available for all Lakebase projects.
- Postgres minor version updates
Updates to 16.15, 17.11, and 18.6, applied on compute restart.
- Lakebase adds compliance security profile standards on Azure
Supports ISMAP, IRAP, and UK Cyber Essentials Plus on Azure.
- Dashboard enhancements and bug fixes
Authors can hide pages in published dashboards. Table column headers can be aligned independently of cells.
- Lakebase available in four new Azure regions
Added to North Central US, France Central, Germany West Central, and East Asia regions.
- 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.
- Lakebase now supports PCI-DSS and HITRUST
Requires compliance security profile, limited to us-east-1 on AWS.
- 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.
- Lakebase is enabled by default in compliance security profile workspaces
Replaces manual Lakebase enablement in HIPAA, C5, or TISAX workspaces.
- 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.
- Organize your work with spaces
Preserves open tabs for specific folders or projects.
- Dashboard enhancements and bug fixes
Visualization widget titles and descriptions now support rich text formatting. Pivot tables also fix grand totals display.
- Create a least-privilege Databricks workspace
Grants Databricks a narrow set of custom IAM roles instead of broad permissions on Google Cloud.
- Diagnose and fix Lakebase issues with Genie, using telemetry in Unity Catalog (Beta)
Uses Unity Catalog database telemetry and conversation with Genie for troubleshooting.
- 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)
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.