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.
Also shipped Jun 26, 2026Snowflake in June 2026 →
Microsoft Dynamics 365 connector (GA)
The managed Microsoft Dynamics 365 connector in Lakeflow Connect is now generally available. The connector allows you to ingest CRM and ERP data from Dynamics 365 into Databricks using Azure Synapse Link. See Microsoft Dynamics 365 connector .
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 .
Databricks Runtime 19 (Beta): June 26, 2026
Behavioral changes Environment variable availability restricted in standard access mode : In standard access mode , only a predefined set of environment variables is available to the Spark engine and init scripts.
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.
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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 .
Support for sample values and enum indicators in semantic view DDL
When defining a semantic view , you can now specify sample values and enum indicators in the CREATE SEMANTIC VIEW command. These features were previously available only in the YAML specification and are now supported in DDL as well. For more information, see Adding sample values and enum indicators .
Resource budgets for Cortex Search
Snowflake now supports resource budgets to control credit spending for Cortex Search services. Resource budgets let you define a monthly spending limit and take automated actions, such as revoking access or suspending the service, when spending exceeds your limits. For more information, see Resource budgets for Cortex Search .
AI_TRANSLATE now supports long-document translation
Snowflake Cortex AI_TRANSLATE now supports translation of up to 100,000 input tokens, enabling organizations to translate large documents and long-form text directly in Snowflake.
AI_TRANSCRIBE now supports AAC audio files
Snowflake Cortex AI_TRANSCRIBE now supports AAC (Advanced Audio Coding) input, both as a standalone audio file and as the audio track inside a supported video file.
SHOW CORTEX BASE MODELS command (General availability)
With this release, we are pleased to announce the general availability of the SHOW CORTEX BASE MODELS command. Use this command to list the Cortex Base Models available in your account, along with each model’s lifecycle status, regional availability, legacy date, and end-of-life date.
AI_EXTRACT and AI_PARSE_DOCUMENT support for client-side encrypted stages and network-restricted accounts (Preview)
With this preview release, AI_EXTRACT and AI_PARSE_DOCUMENT support documents stored on stages that use client-side or server-side encryption, including in accounts that use PrivateLink or other network policies that restrict public network access to stages. For more information, see the following topics:
AI_EXTRACT and AI_PARSE_DOCUMENT now available in GCP Middle East Central2 (Dammam)
AI_EXTRACT and AI_PARSE_DOCUMENT are now available in the Google Cloud Platform Middle East Central2 (Dammam) region, expanding regional support for customers with in-region requirements for document processing workloads.