Releasesby GlyphDatabricks 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.
Also shipped Jul 9, 2026Databricks in July 2026 →
Knowledge Catalog adds SQL Server and PostgreSQL connectors in preview
New connectors extract technical, operational and business metadata from SQL Server and PostgreSQL and import it into Knowledge Catalog entry groups on a schedule.
Retirement for preview models for 2.5 Flash, 2.5 Flash-Lite, and 3.1 Flash-Lite
The following preview model endpoints have been retired and are no longer accessible: gemini-2.5-flash-lite-preview-09-2025 gemini-2.5-flash-preview-05-2025 gemini-3.1-flash-lite-preview See Migrate to the latest Google models for information on how to migrate your project.
Looker Table Row Grouping for table charts enters preview
Table charts can display data hierarchically in groups with new Grouping menu options for appearance. The preview feature is enabled by default.
[Launched] Generally Available: Open AI GPT-5.6 on Azure Databricks
Open AI GPT-5.6 is now available on Azure Databricks. You can use GPT 5.6 (purchased on Microsoft Foundry) via Model Serving Endpoint in Azure Databricks. Through integrations across Foundry and Azure Databricks, you can securely build, deploy, and manage
More from Databricks SQLEvery Databricks SQL release →
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 .
MATCH_RECOGNIZE is now in Beta
Databricks SQL and Databricks Runtime now support the SQL:2016 MATCH_RECOGNIZE clause for row pattern recognition. Enable the Match Recognize preview in workspace preview settings . See MATCH_RECOGNIZE clause .
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.
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 .
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 .
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.
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.