Looker vs PostHog — Which One Wins?
A detailed, side-by-side comparison of Looker and PostHog to help you pick the right tool for your workflow.
Quick Verdict
PostHog takes the lead with a 4.5 rating and is best for startups wanting product analytics, session replay, and feature flags in one open-source platform.. Looker (4.1) is the better pick if you need data teams needing governed, consistent metrics with a semantic modeling layer..
Side-by-Side Comparison
| Criteria | Looker | PostHog |
|---|---|---|
| Rating | ★★★★ 4.1(134) | ★★★★ 4.5(167) |
| Pricing Model | paid | open_source |
| Starter Price | Custom pricing | Pay-as-you-go above free limits |
| Free Tier | Yes | Yes |
| Platforms | web | web |
| Learning Curve | hard | medium |
| API Available | Yes | Yes |
| Best For | Data teams needing governed, consistent metrics with a semantic modeling layer. | Startups wanting product analytics, session replay, and feature flags in one open-source platform. |
| Verdict | situational | recommended |
Feature Checklist
| Feature | Looker | PostHog |
|---|---|---|
| LookML semantic modeling layer | — | |
| Governed metric definitions | — | |
| Explores for self-serve analysis | — | |
| Embedded analytics | — | |
| Google Cloud/BigQuery integration | — | |
| API-first architecture | — | |
| Product analytics | — | |
| Session replay | — | |
| Feature flags | — | |
| A/B testing | — | |
| Surveys | — | |
| Self-hostable open source | — |
Looker
Pros
- ✓LookML ensures metric consistency across the organization
- ✓Explores provide governed self-serve analytics
- ✓Deep Google Cloud and BigQuery integration
Cons
- ✕Enterprise-only pricing (typically $5K+/month)
- ✕LookML requires data engineering investment
- ✕Google acquisition has created uncertainty about product direction
PostHog
Pros
- ✓All-in-one replaces 4-5 separate tools
- ✓Open source with free self-hosting
- ✓Cloud free tiers are genuinely generous
Cons
- ✕Individual analytics less powerful than dedicated Mixpanel/Amplitude
- ✕Session replay less polished than FullStory
- ✕Self-hosting requires infrastructure management
The Bottom Line
Both Looker and PostHog are solid tools in the Analytics & Data space. PostHog edges ahead with a stronger overall rating (4.5 vs 4.1) and is the better choice for startups wanting product analytics, session replay, and feature flags in one open-source platform.. However, if you prioritize data teams needing governed, consistent metrics with a semantic modeling layer., Looker is worth serious consideration. We recommend trying the free tier or trial of each before committing.