Vector vs VictoriaMetrics
A side-by-side comparison of two self-hosted monitoring & status options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Vector
High-performance observability data pipeline
VS
VictoriaMetrics
Fast, cost-effective time series database and monitoring solution
| Feature | Vector | VictoriaMetrics |
|---|---|---|
| Category | Monitoring & Status | Monitoring & Status |
| License | MPL-2.0 | Apache-2.0 |
| Language | Rust | Go |
| Setup difficulty | Medium | Medium |
| Min. RAM | 64 MB | 256 MB |
| Deployment | docker, kubernetes, binary | docker, kubernetes, helm |
| GitHub stars | ★ 22,315 | ★ 17,488 |
| First released | 2019 | 2018 |
| Replaces | Logstash, Fluentd | Datadog, Grafana Cloud |
Why pick each one
Choose VictoriaMetrics if…
- Excellent compression and speed
- Easy single-binary deployment
Frequently asked questions
Is Vector or VictoriaMetrics better?
Neither is universally better. Vector has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Vector and VictoriaMetrics free and open-source?
Yes. Vector is licensed under MPL-2.0 and VictoriaMetrics under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Vector and VictoriaMetrics with Docker?
Vector: yes. VictoriaMetrics: yes.