Mixpanel vs Open Analytics

A side-by-side look at what Mixpanel and Open Analytics publish about pricing, plans and features.

This page sets the two products' recorded data side by side. It is not an editorial review — nobody has tested either product for this page, and the figures below are not independently verified. Read how we handle data and what each label means.

Values as recorded in this guide. Where a figure carries no source, it is marked unverified — confirm on the vendor's own pages before acting on it.
FieldMixpanelOpen Analytics
CategoryAnalyticsAnalytics
Entry price$24/mo$9/mo
Free planYesYes
Free trialYesNo
Tagged forStartupsStartups
G2 rating unverified4.6 / 5
Capterra rating unverified4.5 / 5
ProductHunt 256
From ProductHunt, checked 31 Aug 2026

Where they differ

  • Entry pricing recorded here is $9/month for Open Analytics and $24/month for Mixpanel. Plan structures differ, so these are not like-for-like — check both pricing pages before comparing totals.
  • Mixpanel lists a free trial; Open Analytics does not.

Head to head

Mixpanel

Mixpanel answers product questions Google Analytics struggles with: which features drive retention, where funnels leak, how cohorts behave over weeks. Its funnels, retention curves and cohort tools are fast and genuinely self-serve for product managers. Getting value depends on a disciplined event taxonomy — bad instrumentation yields confident-looking nonsense — and costs rise with event volume, so teams should design their tracking plan before, not after, adopting it.

Reported strengths

  • Great event analytics
  • Free tier
  • Fast UI

Reported drawbacks

  • Setup effort
  • Costly at volume

Open Analytics

Open Analytics is an open-source, privacy-first web analytics platform designed as an AI-native alternative to Google Analytics. It offers real-time visitor tracking, funnels, and revenue analytics, including Stripe integration, using a lightweight, cookieless script. The platform prioritizes GDPR compliance without requiring consent banners and supports AI tool integration. Users can self-host the solution or opt for a hosted version, providing flexibility and data ownership. It aims to deliver comprehensive insights while respecting user privacy.

Reported strengths

  • Strong focus on privacy and cookieless tracking
  • Integrates revenue attribution directly with analytics
  • Open-source and self-hostable for full data control

Reported drawbacks

  • Relatively young platform compared to established alternatives
  • May require more technical setup for self-hosting
  • Limited public reviews and community compared to mature tools