Looker vs Matomo
Which no-code tool is better for your project? Compare features, pricing, and more.
Quick Verdict
Looker is best for enterprise-wide metrics governance. Matomo is best for privacy-first web analytics. Not sure? Let our AI recommend the right one.
| Feature | Looker | Matomo |
|---|---|---|
| Pricing | Contact | From $23/mo |
| Pricing Model | enterprise | freemium |
| Rating | 4.3/5 | 4.3/5 |
| AI Features | ✓ Yes | ✗ No |
| Founded | 2012 | 2007 |
| Company Size | 1000+ | 50-100 |
| Key Features |
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|
| Integrations | BigQuery, Snowflake, Redshift, PostgreSQL | WordPress, WooCommerce, Shopify, Google Ads |
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
Matomo — Pros & Cons
100% data ownership — self-host or cloud
GDPR compliant by design
No data sampling (unlike GA4 free tier)
Feature parity with Google Analytics for most use cases
Self-hosting requires server management
Premium features (heatmaps, A/B testing) are paid plugins
Smaller community than Google Analytics
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