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...
Also shipped Aug 24, 2026Databricks in August 2026 →
BigQuery data agent monitoring with Google Cloud Observability in preview
Teams can monitor the performance, adoption, latency and costs of BigQuery data agents and their conversations using Google Cloud Observability.
Gemini Enterprise: D&B Commercial Graph data store (Preview)
The D&B Commercial Graph data store is available in Public Preview in Gemini Enterprise. You can connect D&B Commercial Graph to search and import company data using natural language. For more information, see Connect D&B Commercial Graph .
Gemini Enterprise: Cloud Monitoring observability for data connectors
Cloud Monitoring telemetry for Gemini Enterprise data connectors (also referred to as data stores) has been updated with support for new metric dimensions and a new latency metric: The discoveryengine.googleapis.com/dataconnector/request_count count metric has been updated to include three new dimensions: tool_id (the identifier of the connector tool...
GLM 5.2 is available in Public Preview
GLM 5.2 from Z.ai is available as a fully managed model (MaaS) in Model Garden. The model targets long-horizon agentic and coding tasks and supports a 1M-token context window. For more information, see GLM 5.2 .
Environment variables now use Config and Secret types
When you add or edit an environment variable in Vercel, you now choose Config or Secret instead of using the Sensitive toggle. Existing variables marked Sensitive are automatically treated as Secrets and continue to work without migration. Config: The value remains readable after saving for members with access.
Bun runtime now supports large functions and extended max duration
The Bun runtime on Vercel Functions now supports larger package sizes up to 5GB uncompressed and extended max duration for up to 30 minutes, two betas that previously ran on Node.js and Python only.
More from Databricks Data Intelligence PlatformEvery Databricks Data Intelligence Platform release →
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).
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.
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) .
Write 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 .
Zhipu AI GLM 5.3 now available as a Databricks-hosted model
Model Serving now supports GLM 5.3 as a Databricks-hosted model in supported US and Americas regions. This text-only mixture of experts (MoE) model supports a context window of up to 1,048,576 tokens, up to 65,536 output tokens, function calling, structured output, coding, agentic tool use, and always-on reasoning.
Restrict service principal OAuth secrets to specific API scopes
You can now restrict a service principal's OAuth secret to specific API scopes, such as sql or jobs , instead of all APIs. A token minted from a scoped secret can't exceed those scopes, which limits the impact of a leaked secret. See Authorize service principal access to Databricks with OAuth .
ai_transcribe function (Beta)
The ai_transcribe() SQL function transcribes an audio file into text. It returns the transcript as time-stamped segments, and labels each segment with a speaker when speaker diarization is enabled for your workspace. The output is a VARIANT value, so you can chain it into other AI Functions. This feature is in Beta . See ai_transcribe function .