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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. NetData vs collectd

NetData vs collectd

OverviewDecisionsComparisonAlternatives

Overview

collectd
collectd
Stacks98
Followers156
Votes5
GitHub Stars3.3K
Forks1.3K
Netdata
Netdata
Stacks226
Followers392
Votes82

NetData vs collectd: What are the differences?

# Introduction
NetData and collectd are both popular tools used for monitoring system performance and collecting metrics.

1. **Data Visualization**: NetData excels in providing real-time and interactive visualization of metrics through intuitive dashboards, while collectd offers basic graphing capabilities but lacks the interactivity and real-time updates that NetData provides.
   
2. **Ease of Installation**: NetData is known for its easy installation process, requiring minimal setup and configuration, making it more user-friendly for beginners. In contrast, collectd may have a steeper learning curve due to its more complex installation process and configuration options.
   
3. **Plugin Ecosystem**: NetData has a rich plugin ecosystem that allows users to easily extend its functionality and collect various metrics from different services and applications. On the other hand, collectd also has a plugin system but the variety and ease of adding new plugins may not be as extensive as NetData.

4. **Resource Consumption**: NetData is often criticized for its higher resource consumption compared to collectd, which is known for its lightweight footprint and minimal impact on system performance. Users with resource-constrained environments may prefer collectd over NetData for this reason.

5. **Community Support**: Both NetData and collectd have active community support, but NetData is known for its vibrant community that frequently contributes to the development of new features and plugins. Collectd, while also having community support, may not have the same level of community engagement as NetData.

6. **Alerting Capabilities**: NetData offers comprehensive alerting capabilities, allowing users to set up custom alerts based on various metrics and thresholds. In comparison, collectd may require additional tools or plugins to achieve similar alerting functionality, making it less robust in this aspect.

In Summary, NetData and collectd differ in terms of data visualization, ease of installation, plugin ecosystem, resource consumption, community support, and alerting capabilities.

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Advice on collectd, Netdata

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.

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Detailed Comparison

collectd
collectd
Netdata
Netdata

collectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too.

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

fast;simple;integrated;easy to operate
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
GitHub Stars
3.3K
GitHub Stars
-
GitHub Forks
1.3K
GitHub Forks
-
Stacks
98
Stacks
226
Followers
156
Followers
392
Votes
5
Votes
82
Pros & Cons
Pros
  • 2
    Open Source
  • 2
    Modular, plugins
  • 1
    KISS
Pros
  • 17
    Free
  • 14
    Easy setup
  • 12
    Graphs are interactive
  • 9
    Well maintained on github
  • 9
    Montiors datasbases
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 collectd, 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

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