Releasesby GlyphWrite data back to Databricks from Google Sheets
The Databricks Connector for Google Sheets now lets you write data from Google Sheets back to a Unity Catalog table. You can create a new table or overwrite an existing table without leaving Google Sheets. See Write data back to Databricks from Google Sheets .
Also shipped Aug 20, 2026Databricks in August 2026 →
BigQuery adds ML.TREND, ML.SEASONALITY and ML.DETECT_CHANGE_POINTS in preview
New table-valued functions in the query editor and conversational analytics identify trends, repeating seasonal patterns and structural change points in time series data.
BigQuery Graph core processing limited to Enterprise editions from April 26, 2027
Standard edition and on-demand billing support for BigQuery Graph core graph processing is deprecated, with processing restricted to Enterprise and Enterprise Plus from April 26, 2027. Graph measures remain available except in Standard edition.
The run_bq_command tool exposes the bq command-line tool within the Cloud CLI remote MCP server
The run_bq_command tool exposes the bq command-line tool within the Cloud CLI remote MCP server. AI agents can now execute advanced BigQuery operations, such as job scheduling, job management, and reservation management, through a managed MCP endpoint. For more information, see Use the Cloud CLI remote MCP server . This feature is in Preview .
AI_EXTRACT and AI_PARSE_DOCUMENT support for client-side encrypted stages and network-restricted accounts (General availability)
AI_EXTRACT and AI_PARSE_DOCUMENT now 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:
Cortex Agent code execution tool (Preview)
The Cortex Agent code execution tool is now in public preview. When you enable the tool on an agent, the agent can generate and run Python in a secure, isolated sandbox to process data, perform calculations, and produce visualizations.
Gemini Enterprise and Gemini Notebook Enterprise: Autocomplete for sharing notebooks and agents with Okta
If you use Okta as your external identity provider (IdP) with Workforce Identity Federation, you can configure System for Cross-domain Identity Management (SCIM). Configuring SCIM enables autocomplete when sharing Gemini Notebook Enterprise notebooks and when sharing agents in Gemini Enterprise.
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Upcoming end of life for the Supervisor API
The Supervisor API (Beta) reaches end of life on September 30, 2026. After that date, the API is no longer available. Databricks recommends migrating to custom agents on Databricks Apps . See Supervisor API (Beta) (deprecated) .
ai_extract precision mode is now generally available
You can now use ai_extract precision mode for advanced extraction workloads, including multi-page documents, schemas with 50 or more fields, many extracted items per document, and complex conditional field logic. See ai_extract function .
Manage project environments with %uv commands
You can now use %uv init , %uv add , and %uv sync in serverless notebooks running environment version 5 or above to create a Python project, add dependencies, and sync its environment. See Create reproducible project environments with %uv .
Private network gateway is in Private Preview
Private network gateway is in Private Preview . A private network gateway connects Databricks serverless compute to resources in your VPC, on-premises systems, and the internet through a single managed gateway, reusing your existing network connectivity configuration (NCC).
Databricks Runtime 19: August 24, 2026
Library and environment updates Updated Java from Zulu21.50+19-CA to Zulu21.52+15-CA . Updated Java libraries: com.fasterxml.jackson.core.jackson-annotations from 2.21 to 2.22 com.fasterxml.jackson.core.jackson-core from 2.21.2 to 2.22.1 com.fasterxml.jackson.core.jackson-databind from 2.21.2 to 2.22.1 com.fasterxml.jackson.datatype.jackson-datatype-joda...
ai_prep_search supports plain text and markdown input (Beta)
The ai_prep_search() SQL function now accepts plain text and markdown STRING content in addition to the structured VARIANT output of ai_parse_document . You can now chunk and prepare text that you already have as a string for AI Search indexing and retrieval-augmented generation (RAG) pipelines, without first running it through document parsing.
Query text is now masked by default in system tables and APIs
Because SQL statements can contain sensitive information, Databricks now masks query text in the following places: statement_text in system.query.history returns . query_text in the Query History API and the List Queries API returns . Keys in request_params in system.access.audit that contain SQL definitions are omitted.
Expanded networking billing for OpenSharing SecureConnect
Databricks will be expanding networking billing for OpenSharing SecureConnect. Today, data providers are billed for data transfer (egress) when recipients access shared data through SecureConnect. Additional charge types and access scenarios, including charges billed to recipients, are planned.