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. Icinga vs NetData

Icinga vs NetData

OverviewDecisionsComparisonAlternatives

Overview

Icinga
Icinga
Stacks120
Followers97
Votes0
Netdata
Netdata
Stacks226
Followers392
Votes82

Icinga vs NetData: What are the differences?

  1. Monitoring Approach: Icinga is a monitoring tool that is focused on active checks, while NetData is more passive and data-driven in its monitoring approach. This means that Icinga actively checks the health of systems and services at regular intervals, while NetData collects and visualizes metrics in real-time without actively checking on systems.

  2. Scalability: Icinga is better suited for large, complex infrastructures with distributed systems, as it offers more advanced scalability features such as distributed monitoring and high availability setups. In comparison, NetData is more lightweight and may be more suitable for smaller environments or individual systems due to its simpler architecture.

  3. User Interface: Icinga provides a web interface that allows users to configure and manage monitoring settings visually, while NetData primarily relies on command-line and web-based interfaces for configuration and management. This difference in user interface options can impact the ease of use and accessibility for different user preferences.

  4. Alerting Capabilities: Icinga offers more advanced alerting capabilities with features like alert escalations, dependencies, and flexible notification configurations, providing finer control over how and when alerts are triggered. On the other hand, NetData's alerting capabilities are more basic and may not offer as much customization or flexibility.

  5. Plugins and Integrations: Icinga has a robust ecosystem of plugins and integrations that allow users to extend its functionality and integrate with various third-party tools and services. NetData, while also extensible, may not have as wide of a range of plugins and integrations available, potentially limiting its flexibility in certain use cases.

  6. Resource Usage: Due to its active monitoring approach and feature-rich functionality, Icinga may consume more system resources compared to NetData, which is lightweight and designed for minimal resource usage. This difference in resource consumption can be a critical factor in choosing between the two monitoring tools based on the available infrastructure and performance requirements.

In Summary, Icinga and NetData differ in their monitoring approach, scalability, user interface, alerting capabilities, plugins and integrations, and resource usage.

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 Icinga, Netdata

Matthias
Matthias

Teamlead IT at NanoTemper Technologies

Jun 11, 2020

Decided
  • free open source
  • modern interface and architecture
  • large community
  • extendable I knew Nagios for decades but it was really outdated (by its architecture) at some point. That's why Icinga started first as a fork, not with Icinga2 it is completely built from scratch but backward-compatible with Nagios plugins. Now it has reached a state with which I am confident.
142k views142k
Comments

Detailed Comparison

Icinga
Icinga
Netdata
Netdata

It monitors availability and performance, gives you simple access to relevant data and raises alerts to keep you in the loop. It was originally created as a fork of the Nagios system monitoring application.

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

-
Free, open-source; Easy installation and configuration; Access to monitoring unlimited metrics; Prebuilt dashboards and alarms; alerts on any metric, for a single host, an entire cluster, or your entire infrastructure; Tools for team collaboration; 800+ integrations
Statistics
Stacks
120
Stacks
226
Followers
97
Followers
392
Votes
0
Votes
82
Pros & Cons
No community feedback yet
Pros
  • 17
    Free
  • 14
    Easy setup
  • 12
    Graphs are interactive
  • 9
    Montiors datasbases
  • 9
    Well maintained on github
Integrations
No integrations available
Puppet Labs
Puppet Labs
CouchDB
CouchDB
ActiveMQ
ActiveMQ
Logstash
Logstash
Fail2ban
Fail2ban
TimescaleDB
TimescaleDB
Windows
Windows
Grafana
Grafana
MongoDB
MongoDB
RabbitMQ
RabbitMQ

What are some alternatives to Icinga, Netdata?

Grafana

Grafana

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.

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.

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