PostHog

Self-Hosted

Open-source product analytics for engineers and data-driven teams

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Overview

PostHog is an all-in-one product analytics platform that enables teams to track user behavior, record sessions, run A/B tests, manage feature flags, and analyze funnels—all while retaining full control over their data. It supports self-hosting via Docker Compose, Kubernetes, or cloud providers like AWS/GCP, making it ideal for teams prioritizing privacy and avoiding vendor lock-in. With APIs for custom integrations, SQL query support for deep analysis, and plugin extensibility, PostHog caters to both technical and non-technical users looking for enterprise-grade analytics without the SaaS cost.

Self-Hosting Resources

Below is a reference structure for docker-compose.yml. ⚠️ Do NOT run blindly. Replace placeholders with official values.

docker-compose.template.yml TEMPLATE

version: '3'
services:
  posthog:
    image: <OFFICIAL_IMAGE_NAME>:latest
    container_name: posthog
    ports:
      - "8080:<APP_INTERNAL_PORT>"
    volumes:
      - ./data:/app/data
    restart: unless-stopped

Key Features

  • Event tracking & user behavior analysis
  • Session recordings & heatmaps
  • Feature flags & A/B testing
  • Funnel & retention analysis
  • Self-hosted deployment (Docker/Kubernetes/cloud)

Frequently Asked Questions

? Is PostHog hard to install?

PostHog offers a simple one-line Docker Compose setup for self-hosting, which is easy for beginners. Production deployments may require knowledge of Kubernetes or cloud infrastructure to scale effectively.

? Is it a good alternative to Mixpanel?

Yes—PostHog includes most core Mixpanel features (event tracking, funnels, retention) plus extra tools like feature flags and session recordings. Its self-hosted option makes it better for teams needing data privacy.

? Is it completely free?

The open-source self-hosted version is 100% free. PostHog also offers a paid cloud plan with additional features like SLA support and advanced analytics, but the self-hosted core has no cost.

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Tool Info

Pricing Open Source
Category Analytics
Platform Self-Hosted

Pros

  • Full data ownership (self-hosted option)
  • No vendor lock-in (open-source core)
  • All-in-one platform (no need for multiple tools)
  • Extensible via plugins & APIs

Cons

  • Requires technical setup for self-hosted production
  • Resource-intensive for large datasets (needs scaling)
  • Steeper learning curve for advanced features

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