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Amplitude Analytics vs Posthog
Amplitude Analytics and Posthog are both Web/App/Product Analytics tools. Here is how they compare on pricing, free plans, AI integrations and platforms, and when each is the better fit.
Side by side
| Feature | Amplitude Analytics | Posthog |
|---|---|---|
| Category | Web/App/Product Analytics | Web/App/Product Analytics |
| Pricing | Free tier available; custom usage pricing | Pay-as-you-go (Free tier available) |
| Free option | Yes | Yes |
| AI integrations | MCP server, Claude, ChatGPT, Codex, Cursor | MCP server, Claude, Codex, Cursor |
| Platforms | Android | — |
| Links | Amplitude Analytics listingVisit website (opens in a new tab) | Posthog listingVisit website (opens in a new tab) |
Which to choose
Choose Amplitude Analytics if
- work across marketing, product, and data teams to analyse user behaviour
- need built-in heatmaps, targeted guides, and real-time audience syncing
- want automated taxonomy controls and schema management for data governance
- need to monitor AI agent interactions, session traces, and performance evaluators
Choose Posthog if
- want an open-source platform with self-hosting options or dedicated US and EU cloud hosting
- need built-in error tracking to correlate technical bugs with user sessions
- prefer custom SQL querying and syncing external data from tools like Stripe or Postgres
- want flexible billing controls to prevent unexpected usage charges
Verdict
Amplitude Analytics suits mixed product, marketing, and data teams from early-stage startups to global enterprises. It brings together behavioural cohorts, heatmaps, targeted guides, and audience syncing, alongside unlimited team seats across all plans. The main trade-off is that event-based pricing increases costs as data volume scales, and advanced governance requires higher plan tiers. Posthog is built for software engineers and product teams that want an open-source, developer-focused environment. It combines analytics with error tracking, feature flags, custom SQL querying, and a context warehouse for external sources like Stripe and Postgres. However, its technical architecture requires developer setup for advanced features, and the query interface can be steep for non-technical business users.
FAQ
- How does pricing compare between Amplitude Analytics and Posthog?
Both platforms use a usage-based pricing model and offer a free tier. Amplitude Analytics provides a free tier covering up to two million events per month, with custom usage pricing beyond that and unlimited team seats on all plans. Posthog uses pay-as-you-go pricing with monthly free allowances across all modules and billing controls to prevent unexpected charges.
- Which tool is better for non-technical marketing teams?
Amplitude Analytics is explicitly designed for marketing, product, and data teams, offering visual tools like heatmaps, targeted guides, and real-time audience syncing. Posthog is built primarily for software and product teams, and its technical architecture and query interface can be steep for non-technical business users.
- Do Amplitude Analytics and Posthog integrate with AI coding assistants?
Yes, both platforms offer Model Context Protocol (MCP) servers and integrations for Claude, Codex, and Cursor. Amplitude also includes a ChatGPT Plugin and specific agent analytics to monitor AI interactions. Posthog allows engineers and AI coding agents to query usage patterns, diagnose errors, and execute feature rollouts.
- Can I self-host Amplitude Analytics or Posthog?
Posthog has an open-source codebase that supports custom open-source deployments, as well as dedicated US and EU cloud hosting locations. The Amplitude Analytics listing does not mention self-hosting options.