Releasesby GlyphMetric view listings are generally available in Databricks Marketplace
Databricks Marketplace now generally supports publishing governed metric views, allowing Databricks recipients to consume shared business metrics.
Databricks SQL Release notes from Databricks
32 releases · 2 this month
Databricks SQL version 2026.44 is rolling out in Current
Databricks SQL version 2026.44 is rolling out to the Current channel. See features in 2026.44 .
Relationships between metric views (Beta)
Unity Catalog now supports defining relationships between metric views using SQL constraints. This helps AI assistants and BI tools identify correct join paths.
Apply ABAC policies to shared views, materialized views, and streaming tables
You can now apply attribute-based access control (ABAC) row filters and column masks to views, materialized views, and streaming tables shared through OpenSharing. Shared views are in Beta and require the ABAC on views preview. See OpenSharing and ABAC .
Databricks SQL version 2026.44 is now available in Preview
Databricks SQL version 2026.44 is now available in the Preview channel. This version includes the following changes: Operating system security updates. Miscellaneous bug fixes. This version doesn't include new features or behavioral changes.
Databricks SQL version 2026.43 is rolling out in Current
Databricks launched Databricks SQL version 2026.43 on the Current release channel.
Databricks SQL version 2026.43 is now available in Preview
Databricks SQL version 2026.43 is now available in the Preview channel. This version includes the following changes: Operating system security updates. Miscellaneous bug fixes. This version doesn't include new features or behavioral changes.
Databricks SQL version 2026.42 is now available in Preview
Databricks SQL version 2026.42 is now available in the Preview channel. This version includes the following changes: Operating system security updates. Miscellaneous bug fixes. This version doesn't include new features or behavioral changes.
Metric view window measures are generally available
Window measures in metric views are now generally available. Window measures define rolling window, cumulative, or semiadditive aggregations, such as moving averages, period-over-period changes, and running totals. See Window measures .
Databricks SQL version 2026.39 is rolling out in Current
Databricks SQL version 2026.39 is rolling out to the Current channel.
Query tags for SQL warehouses are now generally available
Query tags are now generally available. You can apply custom key-value tags to SQL workloads for grouping, filtering, and cost attribution on Databricks SQL warehouses and Lakehouse//RT compute. Tags appear in system.query.history and on the Query History page of the Databricks UI. See Query tags .
Databricks SQL version 2026.39 is now available in Preview
Databricks SQL version 2026.39 is now available in the Preview channel.
Sharing metric views with OpenSharing is now generally available
Sharing metric views with OpenSharing is now generally available. Add metric views to a share and query them with MEASURE(...) on serverless compute. See Add metric views to a share and Read shared metric views .
Window measures on a numeric index column in metric views
Window measures support unitless offset and trailing / leading ranges on a consecutive integer order column. Use a numeric index for non-calendar periods such as fiscal weeks or 4-4-5 periods. See Window measures on a numeric index column .
Databricks SQL version 2026.36 is rolling out in Current
Databricks SQL version 2026.36 is rolling out to the Current channel. See features in 2026.32 .
Share metric views with OpenSharing (Beta)
You can now share metric views with Databricks users in other metastores or accounts using OpenSharing. See Add metric views to a share and Read shared metric views .
Databricks SQL version 2026.36 is now available in Preview
Databricks SQL version 2026.36 is now available in the Preview channel. See features in 2026.32 .
Databricks SQL version 2026.32 is rolling out in Current
Databricks SQL version 2026.32 is rolling out to the Current channel. See features in 2026.32 .
Databricks SQL version 2026.32 is now available in Preview
Databricks SQL version 2026.32 is now available in the Preview channel. Review the following section to learn about new features and improvements. Validate VARIANT values with is_valid_variant The is_valid_variant function returns true when its input is a well-formed VARIANT value and false otherwise.
Alert system tables are in Public Preview
The system.alert schema is in Public Preview . This schema contains the alerts table, which records the configuration of every alert, and the alert_evaluation_history table, which records one row per alert evaluation. Use these tables to audit alert definitions, analyze evaluation trends, and monitor alert workloads at scale.
Warehouse-level statement timeouts (Beta)
You can now set a statement timeout on a single SQL warehouse so that different warehouses can apply different timeouts to their queries. Set the timeout with the statement_timeout field in the Create or Update warehouse APIs. This feature is in Beta and is API-only. See Warehouse-level timeout .
Databricks SQL alerts are now available by default for workspaces with the compliance security profile enabled
Databricks SQL alerts now support all compliance security profile standards that Databricks supports, and are available by default for workspaces with the compliance security profile enabled. Use Databricks SQL alerts to monitor data and KPIs by running queries on a schedule, evaluating conditions, and notifying recipients when the conditions are met.
Managed Iceberg materialized views are in Public Preview
You can now create a materialized view that is compatible with external Iceberg readers. This feature is in Public Preview . To enable it, reach out to your Databricks account team. See Create a materialized view compatible with external Iceberg readers .
Lakehouse Real-Time (Beta)
Lakehouse Real-Time (Lakehouse//RT) is now in Beta . Lakehouse//RT is a serverless SQL warehouse type built for low-latency, high-concurrency workloads, delivering sub-second SQL read queries against Unity Catalog tables.
Databricks SQL version 2026.20 is now available in Preview
Databricks SQL version 2026.20 is now available in the Preview channel. Review the following section to learn about new features, behavioral changes, and bug fixes.
Metric view parameters are now in Public Preview
You can now define parameters in metric views to bind values at query time, serving many query variants from a single definition instead of maintaining a separate metric view per variant. See Use parameters with metric views .
About and activity
The serverless data warehouse on the lakehouse.
Other Databricks products: Agent Bricks and Mosaic AI, AI/BI and Genie, Databricks Apps, Databricks Data Intelligence Platform, Delta Lake, Lakebase, Lakeflow, MLflow, Unity Catalog
Releases per month
4Jun
3Jul
4Aug
8Sep
11Oct
2Nov
Official release-notes pages 15
| Release-notes page | Site | Feed |
|---|---|---|
| Databricks SQL docs.databricks.com | docs.databricks.com | None |
| AI/BI (dashboards, Genie) docs.databricks.com | docs.databricks.com | None |
| Databricks CLI releases github.com | github.com | RSS |
| Databricks Connect docs.databricks.com | docs.databricks.com | None |
| Databricks Runtime docs.databricks.com | docs.databricks.com | None |
| Declarative Automation Bundles docs.databricks.com | docs.databricks.com | None |
| Developer tools (CLI, SDK, Terraform) docs.databricks.com | docs.databricks.com | None |
| Feature Store docs.databricks.com | docs.databricks.com | None |
| Platform release notes (AWS) docs.databricks.com | docs.databricks.com | RSS |
| Python SDK releases github.com | github.com | RSS |
| Serverless compute docs.databricks.com | docs.databricks.com | None |
| Serverless environment versions docs.databricks.com | docs.databricks.com | None |
| Terraform provider releases github.com | github.com | RSS |
| Unity AI Gateway docs.databricks.com | docs.databricks.com | None |
| What's coming docs.databricks.com | docs.databricks.com | None |