Metabase 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?
Metabase
Open-source business intelligence and dashboards
VS
Vector
High-performance observability data pipeline
| Feature | Metabase | Vector |
|---|---|---|
| Category | Web Analytics | Monitoring & Status |
| License | AGPL-3.0 | MPL-2.0 |
| Language | Clojure | Rust |
| Setup difficulty | Medium | Medium |
| Min. RAM | 2,048 MB | 64 MB |
| Deployment | docker, bare-metal, binary | docker, kubernetes, binary |
| GitHub stars | ★ 48,597 | ★ 22,315 |
| First released | 2015 | 2019 |
| Replaces | Tableau, Looker | Logstash, Fluentd |
Why pick each one
Choose Metabase if…
- Released under the AGPL-3.0 license
- First-class Docker support for quick deployment
- Mature project with 48.6k GitHub stars
- Written in Clojure
Frequently asked questions
Is Metabase or Vector better?
Neither is universally better. Metabase has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Metabase and Vector free and open-source?
Yes. Metabase is licensed under AGPL-3.0 and Vector under MPL-2.0. Both can be self-hosted at no software cost.
Can I run Metabase and Vector with Docker?
Metabase: yes. Vector: yes.