Amplitude vs Matomo

What Amplitude is

Amplitude is the world's #1 ranked product analytics platform, trusted by massive brands like Ford, Walmart, and Burger King. It goes beyond simple traffic tracking to provide deep insights into the 'behavioral' patterns that drive growth and retention. With its 'Digital Analytics Platform' approach, it combines analytics, A/B testing, and a customer data platform into one powerhouse. It is designed for teams that want to turn every user interaction into an opportunity for product-led growth.

What Matomo is

Matomo is web analytics you can self-host, giving you the data without sending it to a third party. It covers most of what mainstream analytics does, with full data ownership. Self-hosting means the raw data never leaves your servers, which removes a whole class of consent and data-transfer questions. The price is that you now run and scale an analytics database, and reporting on high-traffic sites needs real hardware.

What Amplitude is built to do

Behavioral Cohorts

Group users based on complex action patterns to measure their long-term value.

Experiment

An integrated A/B testing platform that uses your real product data.

Compass

Identify the 'North Star' metrics that correlate most with user retention.

Data Governance

Sophisticated tools for keeping your company's data clean and trustworthy.

What Matomo is built to do

Self-hosted or cloud

Runs on your own servers or as a managed instance, with the same reporting.

Raw data ownership

Keeps unsampled visit data in a database you control and can query directly.

Heatmaps and session recording

Adds behaviour tools alongside standard traffic reporting.

Choose Amplitude if

• Product Leaders and Enterprise Data Teams.

Choose Matomo if

• Organisations with privacy or regulatory reasons not to use hosted analytics.

Amplitude: pros & cons

• Industry Leader: The most trusted name for enterprise-level product analysis.
• Behavioral Cohorts: Group users by what they DO, not just who they are.
• Pathfinder: See all the different paths users take through your app to find bottlenecks.
• Predictive Analytics: Use machine learning to predict future user actions and churn.
• Complexity: One of the most difficult analytics tools to master fully.
• Implementation: Requires a very meticulous data tracking plan to be effective.
• Price: Enterprise plans are among the most expensive in the entire industry.

Matomo: pros & cons

• You keep the raw data on your own servers
• Cookie-free tracking option eases consent requirements
• Open source with a cloud option if you prefer
• Self-hosting requires database maintenance
• Reporting is slower on large datasets
• Cloud pricing scales with pageviews