Looker's Continuous Integration is based on the legacy standalone Spectacles service

UpdateAug 17, 2026VerifiedAdded Sep 22, 2026

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.

Read Google Cloud's release notes

https://docs.cloud.google.com/looker/docs/release-notes#August_17_2026

Summaries of vendors' own notes. Product names and logos belong to their owners; logos via logo.dev.

More Looker releases

LookerAug 18, 2026

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.

UpdateBISource

LookerAug 28, 2026

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.

UpdateBISource

LookerAug 28, 2026

The Advanced Unused Content Cleanup feature is now generally available

The Advanced Unused Content Cleanup feature is now generally available.

GASource

LookerAug 28, 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.

UpdateData integrationBIDeveloper toolsSource

LookerAug 28, 2026

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.

PreviewSQLSource

LookerAug 28, 2026

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.

GABISource

LookerAug 28, 2026

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.

PreviewBISource

LookerAug 28, 2026

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.

UpdateSQLBISource

Also shipped on Aug 17, 2026

Snowflake Snowflake Horizon CatalogAug 17, 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.

PreviewLLMsSQLGovernanceSource

Snowflake SnowflakeAug 17, 2026

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.

GAPricingDeveloper toolsCoding agentsSource

Databricks Unity CatalogAug 17, 2026

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 .

DeprecationSQLStreamingObservabilitySource

Databricks Unity CatalogAug 17, 2026

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 .

DeprecationSQLObservabilityRegionsSource

Databricks LakeflowAug 17, 2026

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.

BetaNotebooksSource

Databricks Unity CatalogAug 17, 2026

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.

BetaGovernanceSecurityObservabilitySource