Databricks releases, every cloud
- Databricks Apps telemetry is now generally available
Collects traces, logs, and metrics to Unity Catalog tables using OpenTelemetry.
- Transactions are now generally available
Require catalog commits enabled on participating tables. Use BEGIN ATOMIC or BEGIN TRANSACTION syntax.
- Variant and Variant shredding are now generally available
Requires Databricks Runtime 17.3, recommended 18.1 for optimal performance.
- 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) - 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) - Databricks SQL alerts are now generally available
Monitors data and KPIs by running scheduled queries, notifying recipients when conditions are met.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Catalog commits are now generally available
Enables multi-statement transactions on Unity Catalog managed Delta tables, supported by products like MLflow and Delta Sharing.
- Git-backed app deployments are now generally available
Deploys apps from Git repositories, allowing Git-only deployments across a workspace.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Compute sizing for Databricks Apps is now generally available
Offers Medium (2 vCPUs, 6 GB) and Large (4 vCPUs, 12 GB) sizes.
- New SQL editor is generally available
Provides a unified authoring environment with features like real-time collaboration and enhanced Databricks Assistant integration.
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.