Releasesby GlyphLooker's Continuous Integration is based on the legacy standalone Spectacles service
Looker's Continuous Integration is based on the legacy standalone Spectacles service. Looker will continue to integrate and evolve the Spectacles features into Looker's Continuous Integration, and the legacy standalone Spectacles service itself will be discontinued starting November 30, 2026. Existing Spectacles customers will receive an email with details.
Also shipped Aug 17, 2026Google Cloud in August 2026 →
AI mode for sensitive data classification (Public Preview)
Sensitive data classification now supports AI mode in public preview. When you enable AI mode on a classification profile, Snowflake uses the OpenAI GPT-5 Mini model to identify additional semantic categories beyond those detected by standard classification, which can improve accuracy.
New SNOWFLAKE_COCO_USAGE_HISTORY view in Account Usage and Organization Usage (General availability)
The SNOWFLAKE_COCO_USAGE_HISTORY view is now generally available in the ACCOUNT_USAGE and ORGANIZATION_USAGE schemas. It provides a unified view of usage history for CoCo across the CLI, Desktop, and Snowsight interfaces. The information in the view includes the number of credits consumed each time a user interacts with CoCo.
Upcoming deprecation of the data quality monitoring downstream_impact column
The downstream_impact column in the data quality monitoring results system table is being deprecated. Deprecation begins September 7, 2026, and rolls out gradually across regions over the following week. Until the rollout reaches your workspace, you might still be able to query downstream_impact .
Upcoming deprecation of the data quality monitoring root_cause_analysis column
The root_cause_analysis column in the data quality monitoring results system table is being deprecated. Deprecation begins August 18, 2026, and rolls out gradually across regions over the following several days. Until the rollout reaches your workspace, you might still be able to query root_cause_analysis .
Session restore for serverless jobs is now in Beta
Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the job. Databricks automatically captures a state snapshot when an eligible run fails, runs 30 minutes or longer, or is cancelled, and keeps it for 7 days after the run completes.
Identity attributes in ABAC column mask policies (Beta)
Identity attributes are in Beta. You can now write Unity Catalog ABAC column mask policy conditions that target users by attributes synced from your identity provider, such as department or country , in addition to group membership.
More from LookerEvery Looker release →
Looker 26.14 begins rolling out to Rapid and No Channel release channels
Looker (Google Cloud core) is deploying Looker 26.14 to the Rapid and No Channel release channels and Looker 26.12 to the Regular channel.
Looker 26.14 features auto-enable on Looker (original), August 24 to 26, 2026
A set of features will be automatically enabled for Looker (original) instances running Looker 26.14 between August 24 and August 26, 2026.
Looker CI can be triggered from GitLab CI, Bitbucket and GitHub Actions
Looker Continuous Integration can now run from GitLab CI, Bitbucket Pipelines and GitHub Actions workflows through the Looker API and the looker-sdk Python SDK, with sample scripts in the docs.
Looker visual modeling canvas for BigQuery enters preview
A drag-and-drop canvas builds and edits LookML models on BigQuery sources: join tables, define dimensions and measures, preview results and publish Explores without writing LookML.
Conversational Analytics verified queries , also known as golden queries , are now generally available
Conversational Analytics verified queries , also known as golden queries , are now generally available. You can also now define verified queries in Looker (Google Cloud core) instances.
Now available in preview, model localization is supported for imported projects
Now available in preview, model localization is supported for imported projects. By default, Looker uses the locale definitions from the importing project only, if the importing project has locale definitions.
You can now configure Continuous Integration to automatically run CI suites when a dbt Cloud CI job finishes
You can now configure Continuous Integration to automatically run CI suites when a dbt Cloud CI job finishes . The CI suite run verifies whether changes in your dbt models will cause SQL errors in your Looker Explores before the dbt changes are deployed.