Releasesby GlyphMetric 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 .
Also shipped Jun 26, 2026Databricks in June 2026 →
SQL queries as logical tables in semantic views (General availability)
You can now use an SQL query (rather than a physical table) as a logical table in a semantic view. This lets you define logical tables based on joins, transformations, or any SQL expression without creating a separate view first.
Support for variables in semantic views (General availability)
You can now define variables in a semantic view to parameterize facts, dimensions, and metrics. Variables let you customize calculations at query time without changing the view definition. Define variables when you create a semantic view using the VARIABLES clause in the CREATE SEMANTIC VIEW command, or by adding a variables key in the YAML specification .
Previewing GPT-5.6 Sol: a next-generation model
OpenAI previews GPT-5.6 Sol, a next-generation model with stronger capabilities in coding, science, and cybersecurity, paired with its most advanced safety stack.
MAI-Code-1-Flash for Copilot Business and Copilot Enterprise
MAI-Code-1-Flash, Microsoft AI’s in-house coding model, is now generally available for GitHub Copilot Business and Copilot Enterprise, building on its recent expansion across Copilot surfaces .
Tableflow client-side field level encryption (Limited Availability)
Materialize topics with encrypted fields into Iceberg or Delta Lake tables, storing tagged fields as plaintext if you share the key or as ciphertext if you keep it private.
Agent skills for backend services, Lakebase Search GA, Postgres version updates, and more release - Jun 26, 2026
Agent skills for Neon Object Storage, Functions, and AI Gateway. Neon Agent Skills are instruction files that teach AI coding assistants how to work with Neon. ...
More from Databricks SQLEvery Databricks SQL release →
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.
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.
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.