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Looker vs Metabase

AI Data Analysis tools comparison · Updated 2026

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

At a Glance

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

Looker

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

AI Data Analysis enterprise
VS

Metabase

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

AI Data Analysis freemium

Feature Comparison

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

Pricing Comparison

Looker

enterprise

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

Metabase

freemium

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

Pros & Cons

Looker

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

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

The Verdict

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

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