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

RRDtool vs collectd

OverviewDecisionsComparisonAlternatives

Overview

RRDtool
RRDtool
Stacks14
Followers45
Votes6
GitHub Stars1.1K
Forks274
collectd
collectd
Stacks98
Followers156
Votes5
GitHub Stars3.3K
Forks1.3K

RRDtool vs collectd: What are the differences?

# Differences between RRDtool and collectd

RRDtool and collectd are two widely used tools in monitoring and collecting system data. Below are the key differences between RRDtool and collectd:

1. **Functionality**: RRDtool is a data logging and graphing system specifically designed for time-series data, allowing users to store and display data in various formats. On the other hand, collectd is an agent used to collect system performance statistics periodically and can send these statistics to various data stores for further analysis.

2. **Purpose**: RRDtool is primarily used for long-term data storage and visualization, making it ideal for monitoring trends and patterns over time. In contrast, collectd is designed for real-time data collection from multiple sources, making it suitable for immediate performance analysis and response.

3. **Integration**: RRDtool can be integrated into various monitoring and visualization tools, such as Cacti and Graphite, enhancing its data management capabilities. Collectd, on the other hand, integrates seamlessly with multiple data stores and monitoring systems like Prometheus and InfluxDB, providing a flexible and extensible monitoring solution.

4. **Configuration**: RRDtool requires manual configuration and setup to define data sources, data retention policies, and visualization options, making it more suitable for advanced users with specific requirements. Collectd, on the other hand, offers a simpler configuration process with predefined plugins for monitoring different system components, enabling quick deployment and ease of use.

5. **Scalability**: RRDtool is well-suited for small to medium-scale deployments with limited resource requirements and efficient data storage mechanisms. Collectd, on the other hand, is designed for large-scale environments with the ability to collect data from numerous hosts simultaneously, making it a preferred choice for complex monitoring setups.

6. **Community Support**: RRDtool has a mature and established community with extensive documentation, user forums, and third-party plugins, providing a reliable support network for users. Collectd also has an active community backing it up, offering continuous development and updates to meet the evolving monitoring needs of users.

In Summary, RRDtool and collectd differ in functionality, purpose, integration capabilities, configuration process, scalability, and community support, catering to diverse monitoring requirements in the IT landscape.

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Advice on RRDtool, collectd

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

RRDtool
RRDtool
collectd
collectd

RRDtool lets you log and analyze the data you gather from all kinds of data-sources (DS). The data analysis part of RRDtool is based on the ability to quickly generate graphical representations of the data values collected over a definable time period.

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.

-
fast;simple;integrated;easy to operate
Statistics
GitHub Stars
1.1K
GitHub Stars
3.3K
GitHub Forks
274
GitHub Forks
1.3K
Stacks
14
Stacks
98
Followers
45
Followers
156
Votes
6
Votes
5
Pros & Cons
Pros
  • 6
    Do one thing and do it well
Pros
  • 2
    Modular, plugins
  • 2
    Open Source
  • 1
    KISS

What are some alternatives to RRDtool, collectd?

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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