Looker

Looker is Google Cloud’s enterprise business intelligence platform. Its defining feature is LookML, a modeling layer where analysts define metrics, joins, and business logic once in code, so that everyone downstream queries the same governed definitions. Instead of copying spreadsheets or arguing over whose “revenue” number is right, teams build dashboards and explores on top of a single source of truth that runs live against the data warehouse.

That architecture sets Looker apart from Tableau and Power BI, which are strong on drag-and-drop visualisation but historically more focused on the individual analyst and extracts of data. Looker trades some of that ad-hoc freedom for consistency, governance, and in-database querying — a fit for organisations that have outgrown scattered reports. It integrates tightly with BigQuery and the wider Google Cloud stack, and Google has layered Gemini-based natural-language and assistive features on top. Note there are two products: Looker and the simpler Looker Studio (formerly Data Studio), which is free.

Key Features

• LookML semantic modeling layer for governed metrics
• Live, in-warehouse querying (no data extract required)
• Explores for self-serve, ad-hoc analysis by business users
• Dashboards, scheduled reports, and alerting
• Embedded analytics and an API for customer-facing apps
• Gemini-assisted natural-language querying and Google Cloud integration

Pricing

• Platform + Users: Sold via Google Cloud sales, typically a platform fee (often in the low thousands per month) plus per-user licences by role (viewer, standard, developer)
• Embed: Custom pricing for external, customer-facing analytics
• Pricing is quote-based; there is no public self-serve tier. Looker Studio is a separate, free product.

Best For

Mid-size and enterprise data teams that want governed, self-serve BI on top of a cloud data warehouse — especially BigQuery users and companies that need to embed analytics into their own products.

Limitations

Looker is expensive and enterprise-only, so it is overkill for a small team or a quick dashboard, where Looker Studio, Power BI, or Metabase fit better. LookML is powerful but requires engineering effort to set up and maintain, and business users used to fully drag-and-drop tools may find the modeled approach less immediately intuitive.