Looker vs PostHog

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
PostHog

PostHog

The open-source product analytics suite.

4.6
Try PostHog

Quick Verdict

Looker is best for enterprise-wide metrics governance. PostHog is best for product analytics for saas. Not sure? Let our AI recommend the right one.

FeatureLookerPostHog
PricingContactContact
Pricing Modelenterprisefreemium
Rating4.3/54.6/5
AI Features✓ Yes✓ Yes
Founded20122020
Company Size1000+50-100
Key Features
  • LookML semantic modeling layer
  • Self-service data exploration
  • Interactive dashboards and reports
  • Embedded analytics
  • Looker Studio integration
  • Product analytics (funnels, paths, trends)
  • Session replay
  • Feature flags
  • A/B testing (Experimentation)
  • Surveys
IntegrationsBigQuery, Snowflake, Redshift, PostgreSQLSlack, Zapier, Segment, Sentry

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

PostHog — Pros & Cons

All-in-one product analytics (replaces 4-5 tools)
Generous free tier (1M events/month)
Open-source and self-hostable
Built for engineers — API-first, SQL access
Can be complex to set up properly
Marketing analytics weaker than Google Analytics
Self-hosting requires infrastructure maintenance

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