Looker
Looker is Google Cloud’s enterprise BI platform built around LookML semantic models, governed metrics, and embedded analytics. We assess it for GCP-centric enterprises that want a vendor-managed semantic layer; OSS paths remain Apache Superset or Lightdash with dbt-core.
Blurb
Looker is an enterprise platform for business intelligence, data applications, and embedded analytics.
Summary
What it is: LookML-defined models, explores, dashboards, and embed SDKs integrated with BigQuery and other warehouses.
When to use: GCP enterprise deal includes Looker; strong governance and embedded customer analytics are requirements.
When to skip: Multi-cloud OSS BI mandate or small teams without LookML maintainers.
Key features: LookML git workflow, row-level access in models, scheduled deliveries, embed and API surfaces.
Details
| Topic | Notes |
|---|---|
| Fit | Natural with BigQuery and Google Cloud Platform estates |
| Contrast | Power BI and Tableau for Microsoft- or Salesforce-centric buyers |
References