We recently migrated from Matomo to Umami at work after hitting scaling issues with Matomo, even after implementing various MySQL optimizations and archiving reports through cron at a decent interval. Even the most basic tasks like loading the dashboard was painfully slow (before you comment on the resource usage, our instances were quite huge and the load was alright).
Surprisingly, Umami has been handling our traffic volume without breaking a sweat on much smaller instances. I suspect PostgreSQL's superior handling of concurrent writes plays a big role here compared to MySQL/MariaDB. Except for the team/user management, everything feels much nicer on Umami.
Shameless plug: As part of the migration, I also took the opportunity to learn some Rust by writing a small utility that uses the Umami API to generate daily/weekly analytics reports and sends them via email[1]. Pretty happy with how it turned out, though I'm still learning Rust so any feedback or suggestions for improvement are welcome!
Surprisingly, Umami has been handling our traffic volume without breaking a sweat on much smaller instances. I suspect PostgreSQL's superior handling of concurrent writes plays a big role here compared to MySQL/MariaDB. Except for the team/user management, everything feels much nicer on Umami.
Shameless plug: As part of the migration, I also took the opportunity to learn some Rust by writing a small utility that uses the Umami API to generate daily/weekly analytics reports and sends them via email[1]. Pretty happy with how it turned out, though I'm still learning Rust so any feedback or suggestions for improvement are welcome!
[1]: https://github.com/Thunderbottom/umami-alerts