StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Grafana vs Munin

Grafana vs Munin

OverviewDecisionsComparisonAlternatives

Overview

Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K
Munin
Munin
Stacks71
Followers95
Votes10
GitHub Stars2.1K
Forks479

Grafana vs Munin: What are the differences?

Introduction

This Markdown code provides a comparison of Grafana and Munin, highlighting key differences between the two.

  1. Data Visualization and Dashboarding: Grafana is primarily designed for data visualization and dashboarding. It offers a highly customizable visual interface with a wide range of options for graphs, charts, and panels. On the other hand, Munin focuses more on providing a comprehensive monitoring solution with pre-defined graphs and limited customization options.

  2. Data Sources and Integrations: Grafana offers support for a wide variety of data sources, including popular databases, monitoring systems, and cloud services, allowing users to aggregate and visualize data from multiple sources in a single dashboard. Munin, on the other hand, has limited support for data sources and primarily focuses on monitoring local resources and system metrics.

  3. Alerting and Notification: Grafana provides advanced alerting capabilities, allowing users to set up and customize alerts based on specific metrics and conditions. It also offers various notification channels, including email, Slack, and PagerDuty. Munin, on the other hand, lacks built-in alerting and notification features and requires additional customization or integrations for setting up alerts.

  4. Scalability and Distributed Monitoring: Grafana is designed to handle large-scale deployments and supports distributed monitoring setups. It allows users to set up high availability and clustering for improved scalability and performance. Munin, on the other hand, is more suitable for smaller environments and lacks native support for distributed monitoring.

  5. Ease of Use and Configuration: Grafana provides a user-friendly and intuitive interface, making it easier for users to create and manage dashboards. It also offers extensive documentation and a large community for support. Munin, while relatively simple to set up and configure, can be less user-friendly, especially for complex setups or customizations.

  6. Community and Ecosystem: Grafana has a large and active community, with a wide range of user-contributed plugins, extensions, and integrations. It also has a marketplace for sharing and discovering pre-built dashboards and panels. Munin, while having a smaller community, still offers a decent number of plugins and extensions, though not as extensive as Grafana's ecosystem.

In summary, Grafana provides a more feature-rich and flexible solution for data visualization, with support for various data sources, advanced alerting, and a larger community and ecosystem. Munin, on the other hand, focuses more on comprehensive monitoring with pre-defined graphs and simpler configurations, suitable for smaller environments.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Grafana, Munin

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

402k views402k
Comments
StackShare
StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments

Detailed Comparison

Grafana
Grafana
Munin
Munin

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Munin is a networked resource monitoring tool that can help analyze resource trends and "what just happened to kill our performance?" problems. It is designed to be very plug and play. A default installation provides a lot of graphs with almost no work.

Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating
-
Statistics
GitHub Stars
70.7K
GitHub Stars
2.1K
GitHub Forks
13.1K
GitHub Forks
479
Stacks
18.4K
Stacks
71
Followers
14.6K
Followers
95
Votes
415
Votes
10
Pros & Cons
Pros
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
Cons
  • 1
    No interactive query builder
Pros
  • 3
    Good defaults
  • 2
    Adheres to traditional Linux standards
  • 2
    Alerts can trigger any command line program
  • 2
    Extremely fast to install
  • 1
    Easy to write custom plugins
Integrations
Graphite
Graphite
InfluxDB
InfluxDB
No integrations available

What are some alternatives to Grafana, Munin?

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana