StatsD vs collectd

Overview

StatsD

Stacks373

Followers293

Votes31

collectd

Stacks98

Followers156

Votes5

GitHub Stars3.3K

Forks1.3K

StatsD vs collectd: What are the differences?

Data Collection and Monitoring: StatsD is a simple and lightweight data collection service, primarily used for aggregating application and system-level metrics, while collectd is a system statistics collection daemon that retrieves data about the system's performance.
Protocol: StatsD uses a UDP protocol for sending metrics, allowing for quick and asynchronous data transfers, while collectd typically uses a TCP protocol for communication, which ensures data integrity at the expense of potentially slower transfers.
Ease of Use: StatsD is relatively easy to set up and configure, with minimal dependencies, making it a good choice for quick and simple metric collection. On the other hand, collectd requires more effort to install and configure due to its features and plugins, but it provides more comprehensive and detailed metrics out of the box.
Integration: StatsD is often used in conjunction with other tools, like Graphite or Grafana, for data visualization and analysis. In contrast, collectd offers its own built-in data visualization capabilities, making it a more self-sufficient monitoring solution.
Plugin Ecosystem: collectd offers a wide range of plugins, allowing users to collect metrics from various sources such as CPU, disk, network, and more. StatsD, while extensible, has a more limited set of plugins available, primarily focused on application-level metrics.
Scalability: StatsD is designed to scale horizontally, allowing for easy distribution of metrics across multiple instances and enabling efficient handling of high data volumes. Collectd, on the other hand, is designed to be deployed on each individual server, making it less suitable for large-scale distributed environments.

In Summary, StatsD is a lightweight data collection service focused on application-level metrics, using UDP for quick transfers and often integrated with other tools for data visualization. Collectd, on the other hand, is a system statistics collection daemon using TCP for reliable transfers, offering more comprehensive metrics out of the box and a plugin ecosystem for various data sources.

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Advice on StatsD, collectd

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

StatsD	collectd
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).	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.
Network daemon; Runs on the Node.js platform; Sends aggregates to one or more pluggable backend services	fast;simple;integrated;easy to operate
Statistics
GitHub Stars -	GitHub Stars 3.3K
GitHub Forks -	GitHub Forks 1.3K
Stacks 373	Stacks 98
Followers 293	Followers 156
Votes 31	Votes 5
Pros & Cons
Pros 9 Open source 7 Single responsibility 5 Efficient wire format 3 Handles aggregation 3 Loads of integrations Cons 1 No authentication; cannot be used over Internet	Pros 2 Modular, plugins 2 Open Source 1 KISS
Integrations
Node.js Docker Graphite	No integrations available

What are some alternatives to StatsD, collectd?

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

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

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

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.

Jaeger

Jaeger, a Distributed Tracing System

Related Comparisons

StatsD vs collectd: What are the differences?

Data Collection and Monitoring: StatsD is a simple and lightweight data collection service, primarily used for aggregating application and system-level metrics, while collectd is a system statistics collection daemon that retrieves data about the system's performance.
Protocol: StatsD uses a UDP protocol for sending metrics, allowing for quick and asynchronous data transfers, while collectd typically uses a TCP protocol for communication, which ensures data integrity at the expense of potentially slower transfers.
Ease of Use: StatsD is relatively easy to set up and configure, with minimal dependencies, making it a good choice for quick and simple metric collection. On the other hand, collectd requires more effort to install and configure due to its features and plugins, but it provides more comprehensive and detailed metrics out of the box.
Integration: StatsD is often used in conjunction with other tools, like Graphite or Grafana, for data visualization and analysis. In contrast, collectd offers its own built-in data visualization capabilities, making it a more self-sufficient monitoring solution.
Plugin Ecosystem: collectd offers a wide range of plugins, allowing users to collect metrics from various sources such as CPU, disk, network, and more. StatsD, while extensible, has a more limited set of plugins available, primarily focused on application-level metrics.
Scalability: StatsD is designed to scale horizontally, allowing for easy distribution of metrics across multiple instances and enabling efficient handling of high data volumes. Collectd, on the other hand, is designed to be deployed on each individual server, making it less suitable for large-scale distributed environments.

StatsD vs collectd

Overview