Databricks releases, every 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) - MATCH_RECOGNIZE is now in Beta
Requires enabling Match Recognize preview in workspace settings.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime maintenance updates (06/29)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks SQL version 2026.20 is now available in Preview
Adds IP address functions, NEAREST BY join type, and QUALIFY clause, with fixes for MERGE WITH SCHEMA EVOLUTION.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 19 (Beta): June 26, 2026
Restricts environment variables and Spark configurations in standard access mode. Removes previously allowed settings.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Metric view parameters are now in Public Preview
binds values at query time, replacing separate views per variant.
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
- Lakebase now supports Postgres 18
Postgres 17 remains the default, select Postgres 18 when creating a project.
- Lakebase Search adds vector, keyword, and hybrid search to Postgres (Beta)
Adds vector and keyword search to Postgres with lakebase_vector and lakebase_text extensions, replacing separate search stacks.
- AUTO CDC flows for streaming tables in Databricks SQL are generally available
Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are in Beta
Powered by Apache Spark 4.2.0.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 19 (Beta): June 15, 2026
Replaces JDK 17 with JDK 21, removes 90 Python packages.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase Postgres is now in Beta
Available in us-east4, us-central1, and europe-west3 regions.
- Databricks Runtime 18: June 10, 2026
Adds Spark Declarative Pipelines and IP address functions, requires no changes to existing setups.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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) - Databricks Runtime 18: June 8, 2026
Adds NEAREST BY SQL join type and DESCRIBE TABLE PARTITION for v2 catalog tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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) - Databricks Runtime 18: June 4, 2026
NATURAL JOIN now matches columns case-insensitively by default. Set spark.sql.legacy.naturalJoinCaseSensitiveColumnMatching to true to restore previous behavior.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase snapshot storage is now billed
Billed starting June 1, 2026, with size shown on Backup & Restore page.
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- Databricks Runtime 18: May 29, 2026
Treats NaN values as duplicates, preserves Unity Catalog foreign table permissions during metadata refresh.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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) - Workspace admin setting for serverless notebook execution timeout
Replaces manual override process, defaults to 2.5 hours.
- Databricks Runtime maintenance updates (05/26)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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) - Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning are in Beta
Powered by Apache Spark 4.1.0, replacing separate release notes for feature versions.
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.
- 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.
- Lakebase now supports compute sizes up to 64 CU (128 GB)
Replaces 32 CU (64 GB RAM) limit, enables dynamic scaling for larger workloads.
- Databricks Runtime 18: May 18, 2026
Preserves table comments by default, auto-casts compatible column types in DataFrame writes.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Recover a deleted Lakebase project within 7 days
Restores all branches, databases, and settings. Requires action within 7 days.
- Databricks SQL alerts are now generally available
Monitors data and KPIs by running scheduled queries, notifying recipients when conditions are met.
- Databricks Runtime maintenance updates (05/13)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - New Lakebase instances now scale to zero by default
New instances scale to zero after 24 hours of inactivity, reducing compute costs. Existing projects are unaffected.
- Version 18.2
Adds CREATE OR REPLACE TEMP TABLE syntax and upgrades Snowflake JDBC driver to 3.28.0.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase Change Data Feed (CDF) is now in Public Preview
Captures row-level changes from Postgres tables as Delta tables, requiring no external CDC stack.
- Faster package installs with %uv pip in serverless notebooks
Requires environment version 5 or above. Replaces %pip for faster installs.
- Databricks Runtime 18: May 4, 2026
Clusters using XPath no longer load external DTDs, and NULL structs are stored as NULL.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18.2 is now GA
Replaces 7.3 and 7.3 ML.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Native data profiling for results tables in the SQL editor
Select column headers and click Open selection details to view statistics.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Upcoming change: Upgrade to Lakebase Autoscaling Coming soon
Upgrades start in June 2026, replacing Provisioned instances with autoscaling, requiring updated connection strings for some Private Link setups.
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.