Looker vs Umami

Which no-code tool is better for your project? Compare features, pricing, and more.

Looker

Looker

Google's enterprise BI platform with semantic modeling.

4.3
Try Looker
Umami

Umami

Simple, fast, privacy-focused web analytics.

4.6
Try Umami

Quick Verdict

Looker is best for enterprise-wide metrics governance. Umami is best for developer-friendly web analytics. Not sure? Let our AI recommend the right one.

FeatureLookerUmami
PricingContactContact
Pricing Modelenterprisefreemium
Rating4.3/54.6/5
AI Features✓ Yes✗ No
Founded20122020
Company Size1000+1-10
Key Features
  • LookML semantic modeling layer
  • Self-service data exploration
  • Interactive dashboards and reports
  • Embedded analytics
  • Looker Studio integration
  • Privacy-focused (no cookies, no tracking)
  • Lightweight tracking script
  • Real-time dashboard
  • Custom events and goals
  • Multi-site management
IntegrationsBigQuery, Snowflake, Redshift, PostgreSQLVercel, Netlify, Docker, PostgreSQL

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

Umami — Pros & Cons

Completely open-source (MIT license)
Free to self-host with no limits
Extremely lightweight and fast
Simple, clean interface
Very basic analytics — no funnels or advanced features
Self-hosting required for free tier
No session replays or heatmaps

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