SNMP vs Prometheus: Differences & How to Use Both

By the SNMP Monitoring team · Reviewed July 2026

SNMP and Prometheus get compared constantly, usually by people about to choose the wrong framing. They come from different worlds — SNMP from decades of device and network management, Prometheus from the cloud-native, application-metrics era — and they're built to answer different questions. Both happen to be pull-based, which is where the confusion starts, but Prometheus can't even speak SNMP without help. This page compares them honestly and lands where most real deployments do: use both, with the snmp_exporter bridging your SNMP devices into a Prometheus stack.

Parent: comparisons. Related: Grafana guide, tools comparison.

Comparison table

Side by side on the dimensions that decide a deployment:

The rows that matter most are the last two: they own different scopes, and Prometheus needs a translator to touch SNMP at all. This is a protocol comparison, so it's about the tools themselves, not any hosted product.

The "both are pull-based" observation deserves a second look, because it's where the false equivalence starts. Yes, both scrape rather than receive pushes — but what they scrape and how they model it couldn't be more different. SNMP walks a rigid, pre-defined MIB tree of numeric OIDs on a device; Prometheus scrapes a free-form text endpoint of labelled metrics an application chose to expose. SNMP's model is standardised across vendors so the same OID means the same thing everywhere; Prometheus's model is defined per-application, giving enormous flexibility at the cost of that cross-vendor uniformity. Neither approach is wrong — they're optimised for opposite worlds. SNMP's rigidity is a feature when you're polling ten thousand devices from forty vendors and need consistency; Prometheus's flexibility is a feature when every service defines its own metrics. Understanding that difference is what stops you from trying to force one into the other's job.

What SNMP is best at

SNMP's home turf is network and hardware devices — switches, routers, firewalls, printers, UPSes, servers — where it enjoys an installed base nothing else matches. Almost every piece of enterprise gear ships an SNMP agent, exposing standardised metrics through MIBs: interface counters, CPU and memory, temperatures, error rates. You point a poller at the device and read, with no software to install on it. For the physical and network layer of your estate, SNMP is the lingua franca, and its ubiquity is exactly why it persists. A quick device read:

snmpwalk -v2c -c public 10.0.0.20 ifName

IF-MIB::ifName.1 = STRING: lo
IF-MIB::ifName.2 = STRING: eth0

What Prometheus is best at

Prometheus was built for a different problem: application and service metrics in dynamic, cloud-native environments. Its strengths are a label-based time-series model, the PromQL query language for slicing and aggregating those labels, and a huge ecosystem of exporters for databases, web servers, and orchestrators. Services expose a /metrics HTTP endpoint and Prometheus scrapes it on a schedule. Where SNMP describes a device's fixed MIB, Prometheus thrives on high-cardinality, rapidly-changing metrics tagged with labels like instance, job, and endpoint. For your apps, containers, and services, it's the natural fit.

The bridge: snmp_exporter

Here's the part that dissolves the "either/or" framing. Prometheus doesn't speak SNMP — but the official snmp_exporter does. It sits between the two: Prometheus scrapes the exporter over HTTP, and the exporter polls your SNMP devices over UDP, translating OIDs into Prometheus time series. How it fits together:

1. Define which OIDs to collect in the exporter's config (often built with its generator from MIBs).
2. Run snmp_exporter; it exposes the translated metrics on an HTTP endpoint.
3. Configure Prometheus to scrape that endpoint, passing the target device as a parameter.
4. Your SNMP devices now appear as Prometheus metrics, queryable in PromQL and graphable in Grafana.

So a Prometheus shop doesn't abandon SNMP — it ingests it. The devices you already poll become first-class citizens of the same stack as your app metrics. Note the key fact: Prometheus needs this exporter; it never queries SNMP natively.

When to use which

A quick decision guide:

1. Monitoring network/hardware devices? → SNMP (directly, or via snmp_exporter into Prometheus).
2. Monitoring apps, services, containers? → Prometheus with native exporters.
3. Already run Prometheus and want your devices in it? → snmp_exporter.
4. Need one dashboard for both? → Prometheus + snmp_exporter + Grafana.

The question is rarely "which one" — it's "how do I get both into one place," and the exporter is the answer.

Using both together

The common real-world architecture uses each for what it's best at: Prometheus with snmp_exporter for network and hardware devices, native exporters for applications and services, and Grafana on top for unified dashboards and alerting across everything. You get SNMP's device coverage and Prometheus's query power in a single pane, without forcing either tool to do a job it's bad at. Setting up the visualisation layer is covered on the Grafana guide. The one thing to avoid is forcing a single tool to do both jobs badly — polling apps over SNMP or scraping devices with hand-rolled exporters — when the bridge already exists and each side keeps doing what it's good at.

Frequently asked questions

Should I use SNMP or Prometheus?

They do different jobs, so usually both. SNMP is best for network and hardware devices; Prometheus is best for application and service metrics. If you're monitoring switches, routers, and servers, SNMP (optionally bridged into Prometheus) fits; if you're monitoring apps and containers, Prometheus fits. Most mature stacks run both and unify them in Grafana.

Can Prometheus monitor SNMP devices?

Yes, but not natively — it needs the snmp_exporter. The exporter polls SNMP devices over UDP and translates their OIDs into Prometheus time series, which Prometheus scrapes over HTTP. Once configured, your SNMP devices appear alongside application metrics and are queryable in PromQL. Prometheus never speaks SNMP directly; the exporter does the translation.

Is Prometheus replacing SNMP?

No. Prometheus excels at application metrics but doesn't replace SNMP for network and hardware devices — in fact it relies on the snmp_exporter to reach them at all. The two are complementary: Prometheus for the app layer, SNMP for the device layer, joined into one stack. SNMP's device coverage remains something Prometheus can consume but not replicate.

How do I show SNMP data in Grafana?

Feed it through Prometheus via the snmp_exporter (or query another SNMP-capable data source), then build Grafana panels with PromQL. The exporter turns OIDs into time series, Prometheus stores them, and Grafana visualises them next to your other metrics. The full setup is on the Grafana guide.

Key takeaways

• SNMP and Prometheus are both pull-based but own different scopes — devices vs apps.
• SNMP pulls MIB/OID data over UDP; Prometheus scrapes labelled time series over HTTP.
• Prometheus can't speak SNMP natively — the snmp_exporter bridges devices in.
• Query with OID walks (SNMP) vs PromQL (Prometheus).
• The mature pattern: Prometheus + snmp_exporter for devices, native exporters for apps, Grafana on top.
• It's rarely either/or — see the Grafana guide to unify them.