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
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
freemiumOpen source is free. Pro at $85/mo for 5 users. Enterprise custom pricing.
Looker
enterpriseCustom 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.
Related Topics
Also Consider
Other popular AI Data Analysis tools you might want to compare.