Releasesby GlyphDatabricks 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.
Also shipped Jun 29, 2026Databricks in June 2026 →
Dynamic Iceberg table replication (General availability)
Snowflake now supports replication of dynamic Iceberg tables as part of replication and failover groups. Previously, dynamic Iceberg tables were skipped during replication refresh operations. For more information, see Configure replication for Snowflake-managed Iceberg tables .
Fast mode removed for Claude Opus 4.6
Requests to claude-opus-4-6 with speed fast now run at standard speed and standard rates without erroring, and usage.speed reports the speed used. Migrate to Claude Opus 4.8 to keep fast mode.
Cursor Mobile App for iOS
Cursor for iOS is now available in public beta on all paid plans. Launch and manage always-on agents from anywhere. Cloud agents on mobile Open the Cursor mobile app, choose a repo, and launch an agent the same way you would on the desktop app.
Claude Opus 4.8 (fast mode) is now in preview for GitHub Copilot
Claude Opus 4.8 (fast mode) is now rolling out in preview on GitHub Copilot. Fast mode delivers significantly faster output token speeds while maintaining the same intelligence as Claude Opus 4.8, making it well suited for interactive coding and agentic workflows where responsiveness matters.
Vercel Functions can now be up to 5GB in package size
Vercel Functions now support Node.js and Python deployments up to 5GB in package size on Fluid compute , a 20x increase over the previous 250MB limit. Large Functions support is in public beta .
Realtime voice, speech, and transcription now supported on AI Gateway
AI Gateway now supports voice and audio models. You can build realtime voice agents, generate speech from text, and transcribe audio to text. This provides the same observability, spend controls, and bring-your-own-key support as text, image, and video models in AI Gateway, with no markup or platform fees.
More from Databricks SQLEvery Databricks SQL release →
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.
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 .
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 .
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.
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 .
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.