Releasesby GlyphDatabricks SQL version 2026.32 is rolling out in Current
Databricks SQL version 2026.32 is rolling out to the Current channel. See features in 2026.32 .
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 SQLEvery Databricks SQL release →
Databricks SQL version 2026.36 is now available in Preview
Databricks SQL version 2026.36 is now available in the Preview channel. See features in 2026.32 .
Share metric views with OpenSharing (Beta)
You can now share metric views with Databricks users in other metastores or accounts using OpenSharing. See Add metric views to a share and Read shared metric views .
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.
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 2026.36 is rolling out in Current
Databricks SQL version 2026.36 is rolling out to the Current channel. See features in 2026.32 .
time_bucket SQL function aligns timestamps to fixed-width time buckets
time_bucket returns the start of the fixed-width interval a timestamp falls into, aligned to an origin you choose (for example, 15-minute or 3-month buckets). Use it instead of date_trunc when the bucket width or start is not a calendar unit. See time_bucket function .
Window measures on a numeric index column in metric views
Window measures support unitless offset and trailing / leading ranges on a consecutive integer order column. Use a numeric index for non-calendar periods such as fiscal weeks or 4-4-5 periods. See Window measures on a numeric index column .
Sharing metric views with OpenSharing is now generally available
Sharing metric views with OpenSharing is now generally available. Add metric views to a share and query them with MEASURE(...) on serverless compute. See Add metric views to a share and Read shared metric views .