Netdata vs Prometheus
metrics - instant host dashboards vs. scrape-based metrics platform
| Netdata | Prometheus | |
|---|---|---|
| Summary | Real-time per-second metrics with instant auto-discovery. Dashboards out-of-box, zero config. | The CNCF-graduated, pull-based metrics store. Industry default for self-hosted metrics. |
| License | GPL-3.0 | Apache-2.0 |
| Language | C / Go | Go |
| GitHub stars (approx) | 72000 | 56000 |
| Categories | metrics, apm | metrics |
| Replaces SaaS | datadog, new-relic | datadog, new-relic |
| Self-host deployment | single binary (curl install), docker, kubernetes helm, apt/rpm | docker, single binary, kubernetes helm |
| Commercial hosted option | yes (vendor-run) | no / self-host only |
| Repository | https://github.com/netdata/netdata | https://github.com/prometheus/prometheus |
| Freshness checked | 2026-04-22 | 2026-04-22 |
When to prefer Netdata
You need fast host visibility with per-second metrics, auto-discovered collectors, and useful dashboards immediately after install. Netdata is better for operators who want live node and fleet troubleshooting without designing a Prometheus metric model first.
When to prefer Prometheus
You need the metrics substrate other systems expect - exporters, PromQL rules, Alertmanager, and long-lived Kubernetes/service metrics. Prometheus is the better base when you plan to compose Grafana, Alertmanager, Thanos/Mimir, or custom instrumentation around it.