PostHog consolidates the entire product analytics stack into a single platform. Rather than stitching together separate tools for event analytics, session recording, feature management, and experimentation, teams get a unified view of how users interact with their product. The event pipeline captures pageviews, clicks, and custom events automatically, while session replay records actual user sessions with console logs and network activity for debugging UX issues.
Feature flags in PostHog go beyond simple toggles—they support multivariate flags, percentage rollouts, and targeting by user properties or cohorts. The built-in experimentation framework runs statistically rigorous A/B tests with automatic significance calculations. Error tracking identifies JavaScript exceptions with full stack traces linked to session replays, so you see exactly what the user experienced when something broke. User surveys can be triggered based on events or page visits for contextual feedback collection.
PostHog is built on ClickHouse for fast analytical queries over billions of events. The platform provides a SQL query interface, data warehouse connectors for importing Stripe, Hubspot, or Zendesk data, and a CDP for routing events to downstream tools. Licensed under MIT with over 31,000 GitHub stars, it can be self-hosted via Docker or Kubernetes. The managed cloud runs on US and EU infrastructure with SOC 2 Type II certification.