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Open-source product analytics with session recording

Best for: Product teams wanting all-in-one analytics with data ownership

  • Free plan
4.7/5 ratingEditorial score 90/100posthog.com

Starts at

Free (1M events/mo)

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Editorial score90/100

The editorial note

What to know about PostHog

PostHog is an open-source product analytics platform that combines event tracking, session recording, feature flags, A/B testing, and user surveys in one tool. It can be self-hosted for full data control. Teams use PostHog to understand user behavior, ship features confidently with flags, and run experiments.

Is it right for you?

Who PostHog suits

Choose it if

  • Product teams wanting all-in-one analytics with data ownership

Look elsewhere if

  • Non-technical teams or those wanting a hosted-only solution

What you get

Key features

  • Event analytics
  • Session recording
  • Feature flags
  • A/B testing
  • User surveys
  • Funnels

Works with

Integrations7

What it costs

Pricing

PostHog pricing plans
PlanPriceWhat it includes
FreeFree (1M events/mo)Billed monthly1M events/month, all products (analytics, session replay, feature flags), unlimited seats
Pay-as-you-goFrom $0.00031 / eventBilled monthlyEvents from $0.00031 each after 1M free, session replay from $0.005/session
EnterpriseCustomBilled monthlySSO, advanced permissions, SAML, custom MSA, dedicated support, SLA

Prices are recorded from the vendor's public pricing page and can change. Check before you buy.

The trade-off

Pros and cons

Pros

  • Open-source and self-hostable
  • All-in-one platform
  • Feature flags included
  • Generous free tier

Cons

  • Self-hosting requires DevOps knowledge
  • Interface can be overwhelming
  • Performance at scale needs tuning

Quick read

At a glance

Category
Development & Coding
Pricing model
Freemium
Entry plan
Free (1M events/mo)
Free plan
Available
Free trial
Not listed
Website
posthog.com

The verdict

Our take on PostHog

The best all-in-one product analytics tool. Self-hosting option makes it uniquely appealing for data-conscious companies.

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