Stock Markets June 16, 2026 12:14 PM

Google enhances Looker with Gemini-powered AI assistants and revamped Explore interface

New natural-language tools, a refreshed UI, and expanded non-BigQuery row limits arrive in the Explore release

By Marcus Reed
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Google has rolled out an updated Explore release for its Looker analytics platform that introduces three AI assistants built on the Gemini models, a redesigned interface with resizable panes and contextual table controls, a reworked Merge Query workflow, and an increased default row limit for non-BigQuery sources. The changes are available through Looker administrators.

Google enhances Looker with Gemini-powered AI assistants and revamped Explore interface
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Key Points

  • Google’s Explore release for Looker adds three AI assistants - Quick Start, Insight Assistant, and Expression Assistant - powered by the Gemini models.
  • The Looker UI is redesigned with a resizable field picker pane, contextual menus in data tables, and visual pivot features to streamline exploration and table-level actions.
  • Merge Query gets a three-panel interface with join configuration, field pickers, and data previews visible simultaneously; automatic join field suggestions and pasting prebuilt query URLs are supported. The default row limit for non-BigQuery sources is increased to 50,000 rows.

Google has introduced a set of AI-driven capabilities and a redesigned user interface for Looker aimed at simplifying query creation, visualization, and custom calculations. The company said the Explore release bundles three AI assistants powered by Google’s Gemini models alongside several workflow and UI changes.

The new assistants are designed to help users interact with data through natural language. The Quick Start assistant generates initial queries automatically, giving users a starting point for exploration. The Insight Assistant accepts natural language commands to adjust data tables and visualizations. The Expression Assistant translates plain-language descriptions into Looker Expression syntax to produce custom calculations.

On the interface side, Google updated Looker with a resizable field picker pane and contextual menus embedded in data tables. The platform now supports visual pivot capabilities. Contextual data table menus let users switch between data granularities, apply filters, and add table calculations directly from column controls.

Looker’s Merge Query workflow has also been reworked into a three-panel layout that shows join configurations, field pickers, and data previews at the same time. The updated workflow includes automatic suggestions for join fields and the ability to paste prebuilt query URLs into the interface.

Separately, Google adjusted the platform’s default row limit for non-BigQuery data sources, raising it to 50,000 rows. The company noted that the new features and settings are accessible through Looker administrators.

These updates combine natural-language assistants with interface improvements and query workflow changes in a single Explore release. Administrators control access to the new functions, while the increased default row threshold applies specifically to sources other than BigQuery.

Risks

  • Access to the new features depends on Looker administrators enabling them - organizations may not see the updates until administrators activate them.
  • The increased default row limit applies only to non-BigQuery sources - workflows that rely on different limits or on BigQuery may be unaffected by this change.
  • Reliance on natural language conversion to Looker Expression syntax introduces a dependency on generated translations from the Expression Assistant, which requires administrators to manage adoption and usage.

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