What is Looker?
Looker connects to data and exposes a semantic model written in LookML. Model authors define dimensions, measures, joins, and access rules; users can then explore that model and build reports or dashboards. This separation is valuable when several teams need common definitions for metrics, but those definitions still require review and ownership.
Read the full overview
Sources checked 27 September 2026: Looker documentation and Looker modeling overview.
Key capabilities
- LookML models: reusable definitions for fields and relationships.
- Explores: guided self-service analysis based on the model.
- Dashboards: views for recurring business questions.
- Embedded analytics: options to expose governed analysis within another application.
The core work is agreeing what each metric means and keeping the LookML model aligned with source data. A dashboard cannot resolve inconsistent business definitions by itself. Validate permissions and query costs against the actual warehouse and user workload.
Looker is suited to organizations prepared to maintain a governed semantic layer over their data. It is distinct from Looker Studio, a separate Google reporting product. Before selection, assess supported data connections, model development skills, permissions, query performance, and licensing.
Looker gives analysts a place to define metrics once and let other users query them through governed interfaces. That workflow is described in Google Cloud's Looker documentation, checked 27 September 2026. This profile makes no claim that all metrics are automatically consistent or that deployment improves performance.
Technical details
- Access
- See vendor
- Source model
- Other license
- Pricing model
- See vendor
- API
- Not specified
- Website
- cloud.google.com ↗
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