⚖️Side-by-Side Comparison
Looker vs PostHog: Which is Better in 2026?
We've compared 2 tools across pricing, features, ratings, and reviews to help you make an informed decision. No paid placements — just facts.
Compare different tools →| Feature |  Looker Analytics & BI |  PostHog Analytics & BI |
|---|---|---|
| Rating | No reviews yet | No reviews yet |
| Pricing | Custom as of Sep 22, 2026 |
as of Oct 16, 2026 |
| Pricing Model | Free Trial | Freemium |
| Free Plan | ||
| Free Trial | Yes | |
| API Available | ||
| Verified | Verified | Verified |
| Founded | 2012 | 2020 |
| HQ | Santa Cruz, CA | London, UK |
| Team Size | 501-1000 | 500,000+ teams |
| Platforms | Web | WebiOSAndroidSelf-hosted |
| Top Integrations | BigQueryGoogle Cloud IAMGeminiGoogle Cloud | Google AdsStripeGitHubPostgres+3 more |
| Key Features |
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| Description | Looker is a unified business intelligence platform that helps everyone in your organization make smarter decisions with data. With LookML modeling, embedded analytics, and integrations across the Google Cloud, Looker scales from startups to Fortune 500. | PostHog is the all-in-one open-source product analytics platform. With analytics, session replay, feature flags, A/B testing, and a data warehouse — all in one tool — PostHog helps engineers build better products with full data ownership. |