Kibana vs OpenSearch
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
OpenSearch
Search and observability suite with logs and dashboards
| Feature | Kibana | OpenSearch |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 96 · Excellent | 94 · Excellent |
| Category | Monitoring & Status | Monitoring & Status |
| License | AGPL-3.0 | Apache-2.0 |
| Language | TypeScript | Java |
| Setup difficulty | Medium | Hard |
| Min. RAM | 1,024 MB | 2,048 MB |
| Deployment | docker, kubernetes, binary | docker, kubernetes, helm |
| GitHub stars | ★ 21,299 | ★ 13,765 |
| First released | 2013 | 2021 |
| Replaces | Splunk, Datadog | Elasticsearch, Splunk |
What are Kibana and OpenSearch?
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
OpenSearch
OpenSearch is a community-driven search, analytics, and observability suite forked from Elasticsearch and Kibana. OpenSearch Dashboards provides log exploration, visualizations, and alerting for operational data.
- Full-text and log search
- Observability dashboards
- Anomaly detection
- Alerting plugin
Kibana vs OpenSearch: key differences
Kibana is written in TypeScript, while OpenSearch is built with Java. Licensing differs — AGPL-3.0 for Kibana versus Apache-2.0 for OpenSearch. Kibana is the lighter option, starting around 1,024 MB of RAM against 2,048 MB for OpenSearch. Kibana is the more established project (first released 2013), while OpenSearch arrived in 2021.
Why pick each one
Choose Kibana if…
- Rich visualization options
- Mature ecosystem
Watch out for
- Tied to Elasticsearch
- Heavy resource usage
Choose OpenSearch if…
- Truly open-source license
- Rich analytics features
Watch out for
- Resource heavy
- Cluster tuning required
Frequently asked questions
Is Kibana or OpenSearch better?
Kibana is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider OpenSearch if its specific feature set fits your needs better.
Are Kibana and OpenSearch free and open-source?
Yes. Kibana is licensed under AGPL-3.0 and OpenSearch under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Kibana and OpenSearch with Docker?
Kibana: yes. OpenSearch: yes.
Which is lighter on resources, Kibana or OpenSearch?
Kibana has the smaller minimum footprint at 1,024 MB of RAM, compared to about 2,048 MB for OpenSearch. Real-world usage depends on library size, user count, and enabled features.