Beszel vs Netdata: Server Monitoring Compared
Quick Verdict
If you run a handful of servers and want a clean dashboard without configuration overhead, Beszel is the right tool. It deploys in minutes, uses minimal resources, and shows exactly what a homelab operator needs — CPU, memory, disk, network, and Docker container stats. Netdata is for operators who need deep observability: thousands of per-second metrics, anomaly detection, and granular application-level monitoring across a fleet of machines.
Updated February 2026: Verified with latest Docker images and configurations.
Overview
Beszel is a newer monitoring tool built specifically for the self-hosting community. It uses a hub-agent architecture where a central server collects metrics from lightweight agents running on each monitored host. The focus is simplicity — a single Go binary per component, SQLite storage, and a clean web UI.
Netdata has been around since 2016 and takes a different approach. It collects over 2,000 metrics per node by default, with per-second granularity. Every running agent serves its own real-time dashboard, and Netdata Cloud (optional) provides a centralized view across nodes. It’s designed to monitor everything — from system metrics to application-specific collectors for databases, web servers, containers, and more.
| Feature | Beszel | Netdata |
|---|---|---|
| Architecture | Hub + agent | Distributed agents (optional cloud) |
| Default metrics | ~20 (CPU, RAM, disk, network, containers) | 2,000+ per node |
| Granularity | 10-second intervals | 1-second intervals |
| Storage | SQLite (hub only) | Per-node dbengine (RAM + disk) |
| RAM usage (agent) | ~15 MB | ~150-300 MB |
| RAM usage (hub/parent) | ~50 MB | ~300-500 MB |
| Docker monitoring | Container CPU/RAM/network | Container + per-process metrics |
| Alerting | Built-in (webhook, email) | Built-in (300+ preconfigured alerts) |
| Language | Go | C (agent), Go (orchestrator) |
| License | MIT | GPL v3 (Agent), proprietary (Cloud) |
| Web UI | Hub dashboard | Per-agent dashboard + optional cloud |
| Authentication | Built-in user management | None (agent) / Netdata Cloud SSO |
| Mobile app | No | Yes (via Netdata Cloud) |
Installation Complexity
Beszel
The hub runs as a single container. Each monitored host runs a lightweight agent — either as a container or a standalone binary.
# Hub (central server)
services:
beszel:
image: henrygd/beszel:0.18.4
ports:
- "8090:8090"
volumes:
- beszel_data:/beszel/data
restart: unless-stopped
volumes:
beszel_data:
Agent on each monitored host:
services:
beszel-agent:
image: henrygd/beszel-agent:0.18.4
network_mode: host
environment:
KEY: "your-ssh-public-key-from-hub"
PORT: "45876"
volumes:
- /var/run/docker.sock:/var/run/docker.sock:ro
restart: unless-stopped
Total setup: deploy hub, add each host through the web UI (generates a key), paste the key into the agent config. Under 5 minutes for a full homelab.
Netdata
Each node runs its own full agent:
services:
netdata:
image: netdata/netdata:v2.9.0
pid: host
network_mode: host
cap_add:
- SYS_PTRACE
- SYS_ADMIN
security_opt:
- apparmor:unconfined
volumes:
- netdata_config:/etc/netdata
- netdata_lib:/var/lib/netdata
- netdata_cache:/var/cache/netdata
- /etc/passwd:/host/etc/passwd:ro
- /etc/group:/host/etc/group:ro
- /etc/localtime:/etc/localtime:ro
- /proc:/host/proc:ro
- /sys:/host/sys:ro
- /var/run/docker.sock:/var/run/docker.sock:ro
restart: unless-stopped
volumes:
netdata_config:
netdata_lib:
netdata_cache:
Netdata requires host PID namespace, SYS_PTRACE, and multiple host filesystem mounts to collect system-level metrics. The Docker Compose is more involved because Netdata introspects the host system deeply.
For multi-node setups, you either use Netdata Cloud (free tier available) or configure parent-child streaming between agents — both add configuration steps Beszel avoids.
Performance and Resource Usage
| Resource | Beszel Agent | Beszel Hub (10 nodes) | Netdata Agent |
|---|---|---|---|
| RAM | 10-20 MB | 50-80 MB | 150-300 MB |
| CPU (idle) | <1% | <1% | 1-3% |
| Disk (per day) | 0 (agent stores nothing) | ~5 MB | ~200-500 MB |
| Network | ~1 KB/10s per host | Receives from all agents | ~0 (local dashboard) |
Beszel’s agent is an order of magnitude lighter than Netdata’s. On a Raspberry Pi 4 with 2 GB of RAM, the difference between a 15 MB agent and a 250 MB agent matters. On a 32 GB server, it doesn’t.
Netdata’s higher resource usage buys you per-second granularity across thousands of metrics. Beszel’s lower overhead reflects its narrower scope — it collects fewer metrics at longer intervals.
Dashboard and Visualization
Beszel’s dashboard is designed around the homelab use case. You see all your servers in a grid, each showing CPU, RAM, disk, and network at a glance. Click a server for detailed charts. The UI is clean and loads fast, but you cannot create custom dashboards or add arbitrary data sources.
Netdata’s dashboard is a real-time metrics explorer. Every collected metric has its own interactive chart. You can zoom into microsecond-level data, correlate metrics across collectors, and drill into application-specific metrics (MySQL query latency, Nginx connections, Docker container stats). The depth is unmatched, but the interface can overwhelm users who just want to know if their server is healthy.
Alerting
Beszel provides basic alerting: CPU, memory, disk, and network thresholds with webhook and email notifications. You configure alerts per host through the web UI.
Netdata ships with over 300 preconfigured alerts out of the box. It detects anomalies using machine learning, alerts on unusual metric patterns, and supports escalation chains. Alert configuration uses YAML files — powerful but more complex than Beszel’s UI-driven approach.
Use Cases
Choose Beszel If…
- You monitor 1-20 servers in a homelab or small infrastructure
- You want a clean overview dashboard without configuration overhead
- Resource usage matters (Raspberry Pi, low-RAM VPS instances)
- Docker container visibility (up/down, CPU, RAM) is sufficient
- You prefer a simple hub-agent model over distributed agents
- You don’t need per-second granularity or application-level metrics
Choose Netdata If…
- You need deep observability into application performance (database queries, web server connections, queue depths)
- Per-second metric granularity matters for troubleshooting
- You want 300+ preconfigured alerts with anomaly detection
- You monitor a larger fleet (20+ servers) and need centralized views
- You need to correlate metrics across services during incidents
- You want to monitor non-Docker services (systemd, bare-metal apps)
Final Verdict
Beszel wins on simplicity and resource efficiency. For a homelab with a few Docker hosts, it provides exactly the right level of monitoring without the overhead. The hub-agent model is elegant, the UI is purposeful, and you’ll be monitoring within minutes of deployment.
Netdata wins on depth. If you’ve ever needed to answer “why is my MySQL slow right now?” or “which container is causing this CPU spike?”, Netdata’s per-second metrics and 2,000+ collectors give you the data to find out. The trade-off is more RAM, more disk, and more complexity.
For most self-hosters running Docker stacks at home, Beszel is enough. Graduate to Netdata (or a Grafana + Prometheus stack) when you need application-level observability.
FAQ
Can Beszel and Netdata run on the same host?
Yes. They collect metrics independently. Some operators run Beszel for the overview dashboard and Netdata on specific nodes that need deeper monitoring. The combined agent overhead is around 170-320 MB of RAM.
Does Beszel support Grafana integration?
Not currently. Beszel stores data in SQLite and has no Prometheus-compatible export endpoint. If you need Grafana dashboards, use Netdata (which has a Prometheus exporter) or switch to a Prometheus-based stack.
Is Netdata Cloud required?
No. Each Netdata agent runs independently with its own local dashboard. Netdata Cloud adds centralized multi-node views, composite charts, and alert management — the free tier covers up to 5 nodes.
Can Beszel monitor non-Docker services?
Beszel monitors system-level metrics (CPU, RAM, disk, network) regardless of how services run. However, its application-level monitoring is limited to Docker containers. Bare-metal services appear only as system resource consumers, without per-process detail.
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