Netdata vs Prometheus

Last reviewed Aug 26, 2026 · 615 words

Netdata shows you a wall of live charts about 60 seconds after install; Prometheus hands you an empty time-series database and a config file to write. That is the real difference. Netdata is a finished monitoring product, Prometheus is monitoring infrastructure, and the choice comes down to whether you want to look at answers today or build the machine that produces exactly the answers you specify.

Netdata answers "what is this box doing right now"

The Netdata agent auto-discovers what's running, attaches the right collectors from a library of thousands, and streams per-second metrics to a dashboard with zero configuration. That per-second resolution matters: a CPU spike that lasts 8 seconds is invisible at Prometheus's typical 15-second scrape interval and obvious in Netdata. It also ships anomaly detection out of the box, runs in 256 MB of RAM, and rates Easy on our difficulty scale. It has been around since 2013 and sits at 80,301 GitHub stars, so this is not a shiny newcomer.

The catch is history. Long retention needs deliberate tuning, and the features that make multi-node fleets pleasant — centralized views, hosted dashboards — live in the commercial Netdata Cloud tier. Self-hosted Netdata is at its best as a per-host magnifying glass.

Prometheus answers "is the fleet healthy, and who pages me if not"

Prometheus (65,828 stars, Apache-2.0, around since 2015) inverts the model: it pulls metrics from HTTP endpoints you tell it about, stores them in its own time-series database, and lets you query them with PromQL — the closest thing monitoring has to a lingua franca. Alerting rules are first-class and hand off to Alertmanager for routing and deduplication. Nearly every self-hostable app now exposes a /metrics endpoint in Prometheus format, which is why it rates Medium difficulty but anchors most serious monitoring stacks.

Two gotchas from the catalogue are worth internalizing before you deploy on port 9090. Retention defaults to 15 days — raise --storage.tsdb.retention.time or your history silently evaporates. And there is no built-in authentication at all: keep it on an internal network or put a reverse proxy with auth in front. Budget 512 MB of RAM minimum, more as metric cardinality grows. Also accept that Prometheus's own graphs are a debugging tool, not a dashboard; that job belongs to Grafana, a pairing covered in Grafana vs Prometheus.

Running both is a legitimate answer

These two overlap less than the "vs" suggests. Netdata can expose its metrics in Prometheus format, so a common pattern is Netdata on every host for the live, per-second view during an incident, with Prometheus scraping a curated subset for long-term trends and alerting. The combined RAM cost is under 1 GB for a small setup, which is cheap for getting both instant visibility and durable history.

Decision table

What I'd do

Install Netdata first regardless — it is a 60-second job and you will learn things about your boxes within the hour. Then add Prometheus the day you catch yourself wanting an alert rule or a month-old graph, because those are the two things Netdata's free tier will keep making you miss. On a single-server homelab, plenty of people never reach that day, and that is fine.