Kibana vs VictoriaMetrics
A side-by-side comparison of two self-hosted monitoring & status options — licensing, setup difficulty, resource needs, and what each one replaces.
Kibana
Visualization and exploration for Elasticsearch data
VS
VictoriaMetrics
Fast, cost-effective time series database and monitoring solution
| Feature | Kibana | VictoriaMetrics |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 96 · Excellent | 95 · Excellent |
| Category | Monitoring & Status | Monitoring & Status |
| License | AGPL-3.0 | Apache-2.0 |
| Language | TypeScript | Go |
| Setup difficulty | Medium | Medium |
| Min. RAM | 1,024 MB | 256 MB |
| Deployment | docker, kubernetes, binary | docker, kubernetes, helm |
| GitHub stars | ★ 21,299 | ★ 17,760 |
| First released | 2013 | 2018 |
| Replaces | Splunk, Datadog | Datadog, Grafana Cloud |
What are Kibana and VictoriaMetrics?
Kibana
Kibana is a visualization and management interface for Elasticsearch, widely used for log analytics and observability. It provides dashboards, search, and alerting over indexed operational data.
- Log and metric dashboards
- Discover search interface
- Alerting and machine learning
- Maps and visualizations
VictoriaMetrics
VictoriaMetrics is a fast, cost-effective, and scalable monitoring solution and time series database. It is a drop-in replacement for Prometheus storage with lower resource usage and a high-performance query engine.
- Low memory footprint
- MetricsQL query language
- Single-binary or cluster mode
- Prometheus-compatible
Kibana vs VictoriaMetrics: key differences
Kibana is written in TypeScript, while VictoriaMetrics is built with Go. Licensing differs — AGPL-3.0 for Kibana versus Apache-2.0 for VictoriaMetrics. VictoriaMetrics is the lighter option, starting around 256 MB of RAM against 1,024 MB for Kibana. Kibana is the more established project (first released 2013), while VictoriaMetrics arrived in 2018.
Why pick each one
Choose Kibana if…
- Rich visualization options
- Mature ecosystem
Watch out for
- Tied to Elasticsearch
- Heavy resource usage
Choose VictoriaMetrics if…
- Excellent compression and speed
- Easy single-binary deployment
Watch out for
- MetricsQL differs slightly from PromQL
- Smaller ecosystem than Prometheus
Frequently asked questions
Is Kibana or VictoriaMetrics better?
Neither is universally better. Kibana has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Kibana and VictoriaMetrics free and open-source?
Yes. Kibana is licensed under AGPL-3.0 and VictoriaMetrics under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Kibana and VictoriaMetrics with Docker?
Kibana: yes. VictoriaMetrics: yes.
Which is lighter on resources, Kibana or VictoriaMetrics?
VictoriaMetrics has the smaller minimum footprint at 256 MB of RAM, compared to about 1,024 MB for Kibana. Real-world usage depends on library size, user count, and enabled features.