Kibana vs mtail
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
mtail
Extract Prometheus metrics from application log files
| Feature | Kibana | mtail |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 96 · Excellent | 54 · Fair |
| Category | Monitoring & Status | Monitoring & Status |
| License | AGPL-3.0 | Apache-2.0 |
| Language | TypeScript | Go |
| Setup difficulty | Medium | Medium |
| Min. RAM | 1,024 MB | 64 MB |
| Deployment | docker, kubernetes, binary | docker, binary, kubernetes |
| GitHub stars | ★ 21,299 | ★ 4,032 |
| First released | 2013 | 2015 |
| Replaces | Splunk, Datadog | Splunk, Datadog Log Metrics |
What are Kibana and mtail?
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
mtail
mtail is a tool from Google for extracting metrics from application logs to be exported into a time series database. It runs small programs that parse log lines and increment counters or gauges, bridging log data into Prometheus monitoring.
- Turns log lines into metrics
- Compact pattern language
- Prometheus export endpoint
- Low overhead tailing
Kibana vs mtail: key differences
Kibana is written in TypeScript, while mtail is built with Go. Licensing differs — AGPL-3.0 for Kibana versus Apache-2.0 for mtail. Mtail is the lighter option, starting around 64 MB of RAM against 1,024 MB for Kibana. Kibana is the more established project (first released 2013), while mtail arrived in 2015. Kibana has the considerably larger community, at 21,299 GitHub stars versus 4,032.
Why pick each one
Choose Kibana if…
- Rich visualization options
- Mature ecosystem
Watch out for
- Tied to Elasticsearch
- Heavy resource usage
Choose mtail if…
- Bridges legacy logs to metrics
- Tiny footprint
Watch out for
- Custom program language to learn
- Not a full log pipeline
Frequently asked questions
Is Kibana or mtail 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 mtail free and open-source?
Yes. Kibana is licensed under AGPL-3.0 and mtail under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Kibana and mtail with Docker?
Kibana: yes. mtail: yes.
Which is lighter on resources, Kibana or mtail?
mtail has the smaller minimum footprint at 64 MB of RAM, compared to about 1,024 MB for Kibana. Real-world usage depends on library size, user count, and enabled features.