Matomo vs PostHog: Which Is Better in 2026?

A detailed comparison to help you choose the right analytics tool for your needs.

Our Pick: PostHog

PostHog has a significantly higher overall rating (8.5 vs 7.5)

Quick Comparison

Aspect
M
Matomo
P
PostHog(Winner)
Overall Rating
7.5/10
8.5/10
Starting Price
$19/mo
Free
Free Plan
Free Trial
Best For
medium
medium
Ease of Use
6/10
7/10
Features
8/10
9/10
Value for Money
8/10
10/10
Support
7/10
7/10

Overview

Matomo (formerly Piwik) is an open-source analytics platform that can be self-hosted. Full Google Analytics replacement with complete data ownership.

PostHog is an open-source product analytics suite with event tracking, session recording, feature flags, and A/B testing. Can be self-hosted for full data control.

Pricing Comparison

Better value: PostHog
M

Matomo

Pricing ModelFreemium
Starting Price$19/mo
Free Trial
Free Tier
P

PostHog

Better Value
Pricing ModelFreemium
Starting PriceFree
Free Trial
Free Tier

Features Comparison

FeatureMatomoPostHog
Web Analytics
Product Analytics
Limited
Heatmaps
Session Recording
Funnel Analysis
Privacy Focused
Self-host option
Real Time
Ab Testing
Data Retention
Unlimited (self-host)
Configurable
Custom Events

0

features unique to Matomo

0

features unique to PostHog

Pros & Cons

M

Matomo

Pros

  • 100% data ownership
  • GDPR compliant
  • Similar to Google Analytics
  • Free self-hosted option
  • No data sampling

Cons

  • Self-hosting requires technical skills
  • Interface feels dated
  • Cloud version gets expensive
  • Steeper learning curve
P

PostHog

Pros

  • Generous free tier
  • Open source, can self-host
  • All-in-one product analytics
  • Feature flags included
  • Session recording free

Cons

  • Self-hosting requires DevOps
  • UI not as polished
  • Can be complex to set up
  • Newer platform

The Verdict: PostHog Wins

After thorough evaluation, PostHog emerges as the clear winner in this comparison. With an overall rating of 8.5/10 compared to 7.5/10, it offers a noticeably better experience across most evaluation criteria.

PostHog particularly excels in Startups wanting free analytics and Teams wanting data ownership, making it the go-to choice for most users looking for a analytics solution.

Our recommendation: We confidently recommend PostHog for most users. However, Matomo remains a viable option if you specifically need organizations needing data ownership.

Choose Matomo if you...

  • • Need organizations needing data ownership
  • • Need government and healthcare
  • • Need privacy-conscious enterprises

Choose PostHog if you...

  • • Need startups wanting free analytics
  • • Need teams wanting data ownership
  • • Need product-led companies

Ready to Get Started?

* We may earn an affiliate commission when you visit these tools through our links. This doesn't affect our ratings or comparisons.

Matomo vs PostHog FAQ

Based on our evaluation, PostHog has a slight edge with an overall rating of 8.5/10. However, the best choice depends on your specific needs and use case.
Yes, PostHog is more affordable with plans starting at $0/month, compared to $19/month for the other.
PostHog scores higher in ease of use (7/10) compared to Matomo (6/10).
Yes, migration between Matomo and PostHog is possible. Most tools offer data export features. Check each tool's documentation for specific migration guides and import capabilities.
Both tools can work for small teams. Matomo is best for medium teams while PostHog suits medium teams.
For startups, consider your growth trajectory. Matomo offers a free tier which is great for bootstrapped startups.
Yes, each tool has unique strengths. Matomo excels at: Organizations needing data ownership, Government and healthcare. PostHog is better for: Startups wanting free analytics, Teams wanting data ownership. Review our detailed feature comparison above.
Both tools have similar support ratings at 7/10.
PostHog offers better value for money with a rating of 10/10 compared to Matomo's 8/10.
Consider switching if PostHog's strengths (Startups wanting free analytics) align better with your current needs. However, factor in migration effort and learning curve before making the switch.