Looker is a business intelligence platform now part of Google Cloud. Define metrics once in LookML and use everywhere. Self-service exploration for business users. Embedded analytics powers data in your products. Integrates deeply with BigQuery and Google Cloud. Modern BI that treats data modeling as a first-class concern.

Available on: Web

Louis Corneloup Updated May 26, 2026 · how we evaluate Source cloud.google.com ↗

Ratings Across the Web

4 (2,229 reviews)

Looker holds an aggregate rating of 4 out of 5 from 2,229 reviews across G2, Capterra and Trustpilot, last checked September 17, 2026.

Trustpilot 18 reviews

2/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Business intelligence
Semantic layer
Data modeling
Embedded analytics
Google Cloud
Enterprise

Pricing Plans

Free Trial

Pricing checked Oct 3, 2026

Looker plans and prices, checked October 2026
Plan	Price	Details
Standard	~$35,000	Under 50 users One production instance Basic analytics
Enterprise	Custom	Enhanced security 10 Standard Users 2 Developer Users +1 more Show less 100K API calls/month
Embed	Custom	External analytics Custom applications 500K API calls/month

Calculate your cost View full pricing

Is Looker worth the price?

Weak value

Looker's pricing is expensive, especially for smaller businesses, with the 'Standard' tier starting around $35,000 per year.

It's best suited for established enterprises with significant data analytics needs and budget.

Hidden Costs & Gotchas

Custom pricing for higher tiers requires direct negotiation.

Full Looker pricing: every plan, hidden costs and alternatives

Reviews

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4.0/5

Across 2,229 verified user reviews on G2, Capterra, Trustpilot

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

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Looker FAQ

How does Looker facilitate self-service data exploration for business users?

Looker enables self-service exploration by allowing business users to delve into data independently. This is supported by its underlying LookML modeling layer, which defines metrics consistently for widespread use.

Which teams benefit most from using Looker?

Teams that prioritize consistent data definitions and require deep integration with Google Cloud infrastructure will find Looker most beneficial. It is well-suited for organizations that treat data modeling as a primary concern in their business intelligence strategy.

How is Looker's pricing structured?

Looker is a paid product and does not offer a permanently free tier. Its pricing model reflects its comprehensive business intelligence capabilities and Google Cloud integration.

Can Looker be embedded into other applications?

Yes, Looker supports embedded analytics, allowing organizations to integrate data insights directly into their own products. This feature powers data within applications, providing users with relevant information where they need it.

What kind of trade-offs should users consider when adopting Looker?

Users should consider that Looker can involve a complex setup process. This initial complexity is a trade-off for its powerful data modeling capabilities and deep integration with Google Cloud.

How does Looker compare to Microsoft Power BI?

Looker distinguishes itself from Microsoft Power BI through its LookML modeling layer, which emphasizes defining metrics once for consistent use across the platform. Additionally, Looker offers deep integration with Google Cloud, including BigQuery.

Source: cloud.google.com

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