OpenPanel

OpenPanel runs on a dual-database architecture that couples ClickHouse for high-volume event ingestion with PostgreSQL for application settings and project profiles. Built in TypeScript, the platform unifies product analytics funnels and cookieless web traffic tracking into a single self-hosted deployment. This consolidated approach allows engineering and marketing teams to evaluate user journeys and website referrers side by side without managing separate vendors.

Why OpenPanel instead of Mixpanel

Mixpanel focuses primarily on in-app event tracking while leaving website visitor analytics to third-party tools, charging steep fees as Monthly Tracked Users and raw data volumes grow. OpenPanel captures both top-of-funnel marketing visits and granular product actions through a single SDK and dashboard. Teams can trace custom properties, retention cohorts, multi-step funnels, and user profiles without calculating event quotas or budgeting for sudden traffic spikes.

Migrating to OpenPanel replaces proprietary tracking scripts with lightweight, self-hosted libraries that respect visitor privacy without requiring cookie consent banners. Unlike Mixpanel's proprietary hosted cloud, OpenPanel requires operating a containerized stack comprising Fastify, ClickHouse, Redis, and PostgreSQL. What small teams gain in unified workflows and complete data ownership comes at the cost of hosting maintenance and managing database disk growth.

What it does well

• Unified web and product metrics: Combines page views, referrers, and custom in-app events in one timeline, removing the need to run Google Analytics alongside Mixpanel.
• Cookieless tracking: Captures visitor sessions and conversions without client cookies or consent banners, simplifying GDPR compliance.
• Built-in session replay: Records user interactions with privacy masking alongside event logs, avoiding extra subscriptions for dedicated replay tools.
• Model Context Protocol integration: Ships an MCP server that lets engineering and support workflows query analytics metrics directly from developer tools and AI assistants.
• Conversion funnels and cohorts: Delivers multi-step drop-off analysis, retention tables, and segmented profiles to trace user progression from first visit to paid plan.
• Predictable infrastructure costs: Decouples analytics budgets from event volume, letting agencies run multiple staging and client sites on fixed-cost servers.