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

Telegraf vs collectd

OverviewComparisonAlternatives

Overview

collectd
collectd
Stacks98
Followers156
Votes5
GitHub Stars3.3K
Forks1.3K
Telegraf
Telegraf
Stacks289
Followers321
Votes16
GitHub Stars16.4K
Forks5.7K

Telegraf vs collectd: What are the differences?

Key Differences between Telegraf and Collectd

Telegraf and Collectd are both popular open-source tools used for collecting and reporting system metrics, but they have some key differences in terms of architecture, flexibility, extensibility, community support, and ease of use.

  1. Architecture: Telegraf is designed as an agent-based system, where each individual system or device requires a separate Telegraf agent to be installed. In contrast, Collectd follows a plugin-based architecture that allows it to collect data directly from the system or device without requiring a separate agent.

  2. Flexibility: Telegraf provides a wide range of input and output plugins, allowing users to collect data from various sources and send it to different destinations. It supports popular technologies such as Kafka, MQTT, InfluxDB, and more. On the other hand, Collectd has a limited number of input and output plugins and focuses mainly on collecting system-level metrics.

  3. Extensibility: Collectd offers a flexible plugin framework that allows users to write their custom plugins to collect data from specific sources or devices. Telegraf also provides a similar plugin architecture but has a more extensive library of plugins available, making it easier to extend its functionality.

  4. Community Support: Telegraf has gained significant traction in recent years and has a large and active community. This means that there are more resources, documentation, and community-driven support available for Telegraf compared to Collectd. Collectd, although still actively maintained, has a relatively smaller community and may have less extensive documentation and resources.

  5. Ease of Use: Telegraf is known for its simple and user-friendly configuration syntax, making it easy to set up and manage. Collectd, on the other hand, has a more complex configuration that may require a deeper understanding of its plugin system and configuration files.

  6. Scalability: Telegraf is designed to be highly scalable, allowing users to deploy multiple agents across different systems or devices and aggregate the collected data centrally. Collectd, while scalable to some extent, may require additional configuration and setup to achieve similar levels of scalability.

In summary, Telegraf provides a more flexible, extensible, and user-friendly solution with a larger community support compared to Collectd. While both tools have their strengths and weaknesses, the choice between Telegraf and Collectd ultimately depends on the specific requirements and use case of the project.

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Detailed Comparison

collectd
collectd
Telegraf
Telegraf

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.

It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.

fast;simple;integrated;easy to operate
-
Statistics
GitHub Stars
3.3K
GitHub Stars
16.4K
GitHub Forks
1.3K
GitHub Forks
5.7K
Stacks
98
Stacks
289
Followers
156
Followers
321
Votes
5
Votes
16
Pros & Cons
Pros
  • 2
    Open Source
  • 2
    Modular, plugins
  • 1
    KISS
Pros
  • 5
    Cohesioned stack for monitoring
  • 5
    One agent can work as multiple exporter with min hndlng
  • 2
    Metrics
  • 2
    Open Source
  • 1
    Supports custom plugins in any language

What are some alternatives to collectd, Telegraf?

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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