Amplitude — Amplitude is a product intelligence platform to understand user behavior. It works best for Growth teams running product experiments and A/B tests and Product analysts building retention and stickiness reports.
Matomo — Matomo is a google Analytics alternative that gives you 100% data ownership. It works best for Organizations requiring 100% data ownership for compliance reasons and Healthcare, government, and enterprise teams barred from Google Analytics.
This comparison covers pricing, key strengths and limitations, and what each tool does best to help you choose the right fit for your workflow.
Quick Comparison
Feature
Amplitude
Matomo
Rating
4.5 / 5
4.6 / 5
Pricing Model
Freemium
Freemium
Starting Price
Free / $61/mo
Free (self-hosted)
Category
Data Analytics
Data Analytics
Free Plan
✓ Yes
✓ Yes
Pros & Cons
Amplitude
Pros
Behavioral analysis charts — Funnels, Retention, Stickiness, Revenue — built into a unified UI
User paths reveal the most common sequences users take through a product without manual query writing
Charts Builder with drag-and-drop formulas is approachable for non-SQL analysts on growth teams
Integrates with Optimizely and LaunchDarkly for A/B test result analysis alongside behavioral data
Cons
Full analytical depth requires a dedicated analyst to extract value — not self-serve for business teams
Data warehouse sync (Snowflake, BigQuery) costs extra on lower plans
Complex queries on large datasets can be slow without proper sampling configuration
Matomo
Pros
100% data ownership — raw data stored in your own database with no third-party data processing
GDPR-compliant without a consent banner when using cookieless tracking configuration
Feature parity with Google Analytics including goals, funnels, ecommerce, and custom dimensions
Heatmaps, session recordings, and A/B testing available as optional paid plugins
Cons
Self-hosted setup requires MySQL and PHP server administration — not suitable for non-technical teams
Cloud version ($23/mo) is less cost-effective than Plausible or Fathom for simple pageview tracking
UI feels dated compared to GA4 and modern analytics dashboards
Who Is It For?
Amplitude is best for
Growth teams running product experiments and A/B tests
Product analysts building retention and stickiness reports
Early-stage SaaS products on the generous free plan
Teams integrating behavioral analytics with Optimizely experiments
Growth teams running product experiments and A/B tests
Product analysts building retention and stickiness reports
Early-stage SaaS products on the generous free plan
Teams integrating behavioral analytics with Optimizely experiments
Choose Matomo if…
Organizations requiring 100% data ownership for compliance reasons
Healthcare, government, and enterprise teams barred from Google Analytics
Developers self-hosting analytics to eliminate third-party data sharing
Teams migrating from Google Analytics with historical data import needs
Frequently Asked Questions
Is Amplitude better than Matomo?+
Matomo scores 4.6/5 vs Amplitude's 4.5/5 in our editorial ratings, making it the higher-rated option overall. Matomo is especially strong for Organizations requiring 100% data ownership for compliance reasons.
Which is cheaper, Amplitude or Matomo?+
Both tools offer free access. Amplitude is freemium. Paid plans start from Free / $61/mo. Matomo is freemium. Paid plans start from Free (self-hosted).
What is the main difference between Amplitude and Matomo?+
Amplitude is a product intelligence platform to understand user behavior. Matomo is a google Analytics alternative that gives you 100% data ownership. The key distinction is focus: Amplitude is best suited for Growth teams running product experiments and A/B tests, while Matomo works better for Organizations requiring 100% data ownership for compliance reasons.
Verdict
Recommended choice
Matomo
Based on our editorial ratings, Matomo scores higher (4.6/5 vs 4.5/5). Matomo is particularly well-suited for Organizations requiring 100% data ownership for compliance reasons. That said, Amplitude remains a strong choice if growth teams running product experiments and a/b tests is your priority.