Umami vs Vector
A side-by-side comparison of two self-hosted apps from related categories — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Umami
Simple, fast, privacy-focused web analytics
VS
Vector
High-performance observability data pipeline
| Feature | Umami | Vector |
|---|---|---|
| Category | Web Analytics | Monitoring & Status |
| License | MIT | MPL-2.0 |
| Language | TypeScript | Rust |
| Setup difficulty | Easy | Medium |
| Min. RAM | 512 MB | 64 MB |
| Deployment | docker | docker, kubernetes, binary |
| GitHub stars | ★ 38,103 | ★ 22,315 |
| First released | 2020 | 2019 |
| Replaces | Google Analytics | Logstash, Fluentd |
Why pick each one
Frequently asked questions
Is Umami or Vector better?
Umami is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider Vector if its specific feature set fits your needs better.
Are Umami and Vector free and open-source?
Yes. Umami is licensed under MIT and Vector under MPL-2.0. Both can be self-hosted at no software cost.
Can I run Umami and Vector with Docker?
Umami: yes. Vector: yes.