Matomo vs Umami
Matomo and Umami are both web analytics software. Matomo is open source under GPL-3.0, with 22k GitHub stars. Umami is open source under MIT, with 40k GitHub stars.
Which to pick
- Pick Matomo when
- An organisation needs detailed analytics under its own control, for example for privacy rules in the public sector or EU.
- Pick Umami when
- You want a simple Google Analytics replacement you can self-host on Postgres with a permissive license.
Side by side
A full web analytics platform comparable to Google Analytics, with goals, e-commerce, segments and reports, self-hosted or cloud.
Privacy-focused web and product analytics without cookies, covering traffic, campaigns, events, funnels and revenue, self-hosted or cloud.
Heavy on MySQL at high traffic, and many features such as heatmaps and funnels are paid plugins.
Less depth for complex product analytics than tools like PostHog.
Production-ready (both)
Self-hosted server and cloud service (both)
PHP, MySQL and Vue
TypeScript, Next.js, React, Prisma and PostgreSQL
Open source, GPL-3.0 (strong copyleft)
Open source, MIT (permissive)
Use inside your business is unrestricted, but anything you distribute that includes it must be released under the same license.
You can build it into a product you sell, as long as you keep its copyright notice.
22k GitHub stars
40k GitHub stars
Established: started 15 years ago, latest release 5.14.2.
Established: started 6 years ago, latest release v3.4.1.
Other comparisons
More web and product analytics tools
Both sides were judged on 2026-11-03 from each project's README and GitHub data. License, age and popularity lines are worked out directly.