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

Chronograf vs collectd

OverviewComparisonAlternatives

Overview

collectd
collectd
Stacks98
Followers156
Votes5
GitHub Stars3.3K
Forks1.3K
Chronograf
Chronograf
Stacks44
Followers57
Votes5
GitHub Stars30.8K
Forks3.7K

Chronograf vs collectd: What are the differences?

Chronograf: *It is the user interface and administrative component *. The complete interface. allows you to quickly see the data that you have stored, so you can build robust queries and alerts; collectd: System and applications metrics collector. 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.

Chronograf and collectd can be primarily classified as "Monitoring" tools.

Chronograf and collectd are both open source tools. Chronograf with 17.1K GitHub stars and 2.43K forks on GitHub appears to be more popular than collectd with 2.28K GitHub stars and 1.09K GitHub forks.

Exoscale, AdStage, and Warby Parker are some of the popular companies that use collectd, whereas Chronograf is used by Zencom, Veris, and WinSocial. collectd has a broader approval, being mentioned in 14 company stacks & 33 developers stacks; compared to Chronograf, which is listed in 5 company stacks and 3 developer stacks.

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CLI (Node.js)
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Manual

Detailed Comparison

collectd
collectd
Chronograf
Chronograf

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.

The complete interface. allows you to quickly see the data that you have stored, so you can build robust queries and alerts.

fast;simple;integrated;easy to operate
-
Statistics
GitHub Stars
3.3K
GitHub Stars
30.8K
GitHub Forks
1.3K
GitHub Forks
3.7K
Stacks
98
Stacks
44
Followers
156
Followers
57
Votes
5
Votes
5
Pros & Cons
Pros
  • 2
    Modular, plugins
  • 2
    Open Source
  • 1
    KISS
Pros
  • 1
    Open Source
  • 1
    It´s extremely compatible with Influxdb
  • 1
    Free
  • 1
    Can build dashboards
  • 1
    Easy

What are some alternatives to collectd, Chronograf?

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.

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).

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