Kibana vs Prometheus
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
Prometheus
Metrics-based monitoring and alerting toolkit
| Feature | Kibana | Prometheus |
|---|---|---|
| Deploy effort | Under-an-hour setup | ≈5-minute setup |
| Health score | 96 · Excellent | 100 · 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 | 512 MB |
| Deployment | docker, kubernetes, binary | docker, binary, helm |
| GitHub stars | ★ 21,299 | ★ 66,196 |
| First released | 2013 | 2015 |
| Replaces | Splunk, Datadog | Datadog |
What are Kibana and Prometheus?
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
Prometheus
Prometheus is a metrics-based monitoring system and time-series database with a powerful query language and alerting. It targets engineers monitoring cloud-native infrastructure. It is deployed via Docker, binaries, or Helm.
- Pull-based metrics collection
- PromQL query language
- Built-in alerting rules
- Cloud-native standard
Kibana vs Prometheus: key differences
Kibana is written in TypeScript, while Prometheus is built with Go. Licensing differs — AGPL-3.0 for Kibana versus Apache-2.0 for Prometheus. Prometheus is the lighter option, starting around 512 MB of RAM against 1,024 MB for Kibana. Kibana is the more established project (first released 2013), while Prometheus arrived in 2015. Prometheus has the considerably larger community, at 66,196 GitHub stars versus 21,299.
Why pick each one
Choose Kibana if…
- Rich visualization options
- Mature ecosystem
Watch out for
- Tied to Elasticsearch
- Heavy resource usage
Choose Prometheus if…
- Powerful query language
- Reliable and scalable
- Huge ecosystem
Watch out for
- No long-term storage by default
- Dashboards need Grafana
Frequently asked questions
Is Kibana or Prometheus better?
Neither is universally better. Prometheus has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Kibana and Prometheus free and open-source?
Yes. Kibana is licensed under AGPL-3.0 and Prometheus under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Kibana and Prometheus with Docker?
Kibana: yes. Prometheus: yes.
Which is lighter on resources, Kibana or Prometheus?
Prometheus has the smaller minimum footprint at 512 MB of RAM, compared to about 1,024 MB for Kibana. Real-world usage depends on library size, user count, and enabled features.