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Metabase vs Looker

AI Data Analysis tools comparison · Updated 2026

Choosing between Metabase and Looker? Both are popular AI Data Analysis tools. Metabase starts at Freemium and focuses on Open source. Looker starts at Paid and specializes in LookML modeling. Here's a detailed side-by-side comparison to help you decide.

At a Glance

Metabase Looker
Category AI Data Analysis AI Data Analysis
Pricing freemium enterprise
Starting Price Freemium Paid
Best For data-analysis, business-intelligence, open-source data-analysis, business-intelligence, google-cloud
Features 6 listed 6 listed

Metabase

Open-source BI tool for self-service data exploration and dashboard building.

AI Data Analysis freemium
VS

Looker

Google Cloud BI with LookML semantic layer and Gemini AI-powered analytics.

AI Data Analysis enterprise

Feature Comparison

Metabase Looker
Open source LookML modeling
Question builder Embedded analytics
SQL editor Gemini AI integration
Dashboards API-first design
Embedding Data governance
Alerts and subscriptions Git version control

Pricing Comparison

Metabase

freemium

Open source is free. Pro at $85/mo for 5 users. Enterprise custom pricing.

Looker

enterprise

Custom pricing through Google Cloud. Looker Studio is free. Looker enterprise requires quote.

Pros & Cons

Metabase

Pros
  • + Free open source
  • + Easy to set up
  • + Great UI
  • + Active community
Cons
  • Limited advanced analytics
  • Performance at scale
  • Fewer enterprise features on free tier

Looker

Pros
  • + Strong semantic layer
  • + Git-based workflows
  • + Scalable
  • + Excellent embedded analytics
Cons
  • LookML learning curve
  • Expensive
  • Tied to Google Cloud

The Verdict

Both Metabase and Looker are strong AI Data Analysis tools. Metabase stands out for Free open source, making it ideal if that's your priority. Looker excels at Strong semantic layer, which may be more important for your workflow. Price-wise, Metabase is freemium while Looker is enterprise, so budget may also factor in.

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