Looker vs Metabase
Which no-code tool is better for your project? Compare features, pricing, and more.
Quick Verdict
Looker is best for enterprise-wide metrics governance. Metabase is best for self-service team analytics. Not sure? Let our AI recommend the right one.
| Feature | Looker | Metabase |
|---|---|---|
| Pricing | Contact | From $85/mo |
| Pricing Model | enterprise | freemium |
| Rating | 4.3/5 | 4.5/5 |
| AI Features | ✓ Yes | ✓ Yes |
| Founded | 2012 | 2014 |
| Company Size | 1000+ | 100-200 |
| Key Features |
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|
| Integrations | BigQuery, Snowflake, Redshift, PostgreSQL | PostgreSQL, MySQL, BigQuery, Snowflake |
Looker — Pros & Cons
Best-in-class semantic layer ensures consistent metrics
Deep Google Cloud and BigQuery integration
Git-based governance is excellent for data teams
Strong embedded analytics capabilities
Enterprise pricing — expensive for small teams
LookML has a significant learning curve
Google Cloud ecosystem dependency
Metabase — Pros & Cons
Open-source with generous free tier
Non-technical users can build queries visually
Quick setup — connects to databases in minutes
Strong embedded analytics offering
Less powerful than Tableau for complex visualizations
Cloud pricing per user can add up
Advanced features need Pro/Enterprise plan
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