Grafana vs Prometheus (2026)

Grafana vs Prometheus — not competitors but complementary tools. What each one does, and why you usually run both together.

Feature	Grafana	Prometheus
Pricing Model	Freemium	Free
Starting Price	Free tier available	Free and open source
Pros	+ Extensive data source integrations + highly customizable dashboards + open-source with strong community + powerful alerting system + excellent visualization options	+ Open source and free + Powerful query language (PromQL) + Excellent for cloud-native environments + Strong integration with Kubernetes + Active community and ecosystem
Cons	- Steep learning curve for advanced features - can become resource-intensive with large deployments - complex setup for enterprise environments - limited native data storage capabilities	- Steep learning curve for PromQL - Limited long-term storage capabilities - No built-in authentication/authorization - Requires additional tools for comprehensive dashboards

Overview

This is the most common point of confusion in the observability world: Grafana vs Prometheus. The short answer is that they are not really competitors — they're complementary tools that are most often used together. Prometheus is a metrics collection and storage engine; Grafana is a visualization and dashboarding layer. But because they overlap at the edges and each has expanded into the other's territory, the comparison is worth understanding.

What Each Tool Actually Does

Prometheus is a time-series database and monitoring system. It scrapes metrics from your applications and infrastructure on an interval, stores them efficiently, and provides a powerful query language (PromQL) for analysis and alerting. It is the de facto standard for metrics in cloud-native and Kubernetes environments, and it is a graduated CNCF project.

Grafana is an open-source analytics and visualization platform. It connects to dozens of data sources — Prometheus being the most popular — and turns the data into dashboards, graphs, and alerts. Grafana does not store data itself (in its core form); it queries other systems and presents the results beautifully.

The Overlap

The confusion comes from feature creep on both sides:

Prometheus has a basic built-in expression browser and graphing UI, so you can visualize metrics without Grafana. But it's rudimentary — not a dashboarding tool.
Grafana has added alerting, and through Grafana Mimir / Grafana Cloud it now offers Prometheus-compatible long-term metrics storage. So Grafana Labs increasingly offers a full stack.

Using Them Together (the Common Setup)

The canonical observability stack is:

Prometheus scrapes and stores metrics
Grafana queries Prometheus via PromQL and renders dashboards
Alertmanager (Prometheus ecosystem) or Grafana Alerting handles notifications

This combination is free, open-source, and battle-tested across the industry. If you're running Kubernetes, you'll almost certainly encounter this exact stack.

Pricing

Prometheus — Free and open source. You pay only for the infrastructure to run it.

Grafana — Free and open source for self-hosted. Grafana Cloud has a free tier and paid plans for managed hosting, long-term storage, and enterprise features.

When to Choose Each

You need Prometheus when:

You need to collect and store metrics from applications and infrastructure
You're in a Kubernetes / cloud-native environment
You want powerful metric querying and alerting with PromQL

You need Grafana when:

You need to visualize metrics (from Prometheus or any other source)
You want unified dashboards across multiple data sources (metrics, logs, traces)
You want a polished UI for your whole team to consume

Verdict

Don't think of this as either/or. Use Prometheus to collect and store your metrics, and Grafana to visualize them. Together they form the backbone of most open-source observability stacks. If you only had to pick one based on its job: choose Prometheus if you need the data engine, Grafana if you need the dashboards — but in practice, you'll run both.