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Looker

cloud.google.com ↗

Governed BI metrics defined once in LookML, with Gemini agents on top

Edited by Max Hall Updated

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SI Score
58/100
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MCP IntegrationSemantic LayerConversational AnalyticsDashboard AgentsEmbedded AnalyticsLooker APIsSelf-Service BILookML semantic layerGoogle Cloud integration

Ask SI about Looker

Answers use saved listing facts and recorded sources.
Homepage screenshot
Screenshot of the Looker homepage

Looker is Google Cloud's business intelligence and embedded analytics platform. You define business logic once in LookML, a semantic layer that keeps dashboards, conversational analytics and AI agents on the same metrics. Analysts and data teams use it for governed self-service reporting, while product builders embed analytics into their own apps. Expect modeling work in LookML before anyone gets a dashboard.

Written from our directory record because the site could not be read automatically, and checked against that record on .

Our take

The semantic layer is the real product here: define a metric once and the dashboards, the Gemini-powered agents and the embedded views all read from it. That's a good fit for data teams tired of numbers that disagree between reports. The catch is that someone has to build the LookML models first, so it isn't a tool you point at a warehouse and walk away from. We'd pick it when governance matters more than a quick first chart.

Features

  • LookML semantic layer

    Business logic is defined once in LookML, which grounds dashboards, conversational analytics and AI agents in consistent metrics.

  • Conversational analytics

    Conversational Analytics and Dashboard Agents are powered by Gemini and run inside BI canvases.

  • Embedded analytics

    Developers embed analytics through low-code iframe embedding, SDKs and the Looker Conversational Analytics API.

  • Google Cloud integration

    Looker runs on Google Cloud with IAM single sign-on, Private Service Connect, customer-managed encryption keys and native BigQuery integration.

Best for

  • Data analysts
  • BI teams
  • Product developers embedding analytics
  • Enterprise data teams

FAQ

Does Looker have an API?
Yes. The record lists Looker APIs and a Looker Conversational Analytics API, alongside SDKs and iframe embedding for developers.
Do you need to model data before using Looker?
The record notes that LookML data modeling is required before use, so plan for that work before dashboards go live.

Sources