Releasesby GlyphAlert 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.
Also shipped Aug 10, 2026Databricks in August 2026 →
BigQuery supports gemini-3.1-flash-lite and gemini-3.5-flash GA models
Both models work in all BigQuery generative AI functions and are available on the us, eu and global multi-regional endpoints.
AI_MULTI_EMBED support for large video files in semantic video search (General availability)
Snowflake Cortex AI_MULTI_EMBED is now generally available for semantic video search with support for large video files up to 6 GB using the TwelveLabs Marengo Embed 3.0 model, enabling organizations to index and search production-grade video content directly in Snowflake.
Amazon S3 Tables Iceberg REST catalog integration (General availability)
Snowflake can now connect directly to the Amazon S3 Tables Iceberg REST endpoint, so you don’t need to create an AWS Glue integration. This capability is now generally available.
Request Access in Workspaces (Preview)
With this preview release, you can resolve access-related SQL errors in Workspaces by submitting access requests directly from Snowsight. When a query fails because of missing privileges and the user can’t self-resolve the issue by switching roles, the user can submit a request with a reason.
Spanner dynamic channel pooling for Go and Java clients is GA
Dynamic channel pooling for gRPC channels prevents issues from under- or over-provisioned channels and reduces configuration overhead in the Go and Java client libraries. It is disabled by default.
Gemini Enterprise: Export user data to a CSV file
Gemini Enterprise administrators can export user data to a comma-separated values (CSV) file to sort, filter, and analyze records offline. This feature is generally available (GA). For more information, see Export user data .
More from Databricks SQLEvery Databricks SQL release →
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.
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 .
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 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 .
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 rolling out in Current
Databricks SQL version 2026.36 is rolling out to the Current channel. See features in 2026.32 .
time_bucket SQL function aligns timestamps to fixed-width time buckets
time_bucket returns the start of the fixed-width interval a timestamp falls into, aligned to an origin you choose (for example, 15-minute or 3-month buckets). Use it instead of date_trunc when the bucket width or start is not a calendar unit. See time_bucket function .
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.