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

Grafana vs collectd

OverviewDecisionsComparisonAlternatives

Overview

collectd
collectd
Stacks98
Followers156
Votes5
GitHub Stars3.3K
Forks1.3K
Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K

Grafana vs collectd: What are the differences?

## Key Differences between Grafana and collectd

Grafana is a data visualization tool, while collectd is a system statistics collection daemon. Grafana primarily focuses on creating interactive and visually appealing dashboards to display time-series data, allowing users to monitor and analyze their metrics conveniently. On the other hand, collectd is designed to gather various system statistics at predetermined intervals and store them for future analysis.

1. **Data Visualization vs. Data Collection**: Grafana excels in displaying data in a meaningful way through graphs, charts, and alerts, whereas collectd specializes in collecting a wide range of system metrics such as CPU usage, memory usage, disk IO, and network traffic.
   
2. **Metrics Storage and Analysis**: Grafana can connect to multiple data sources like databases, cloud services, and monitoring tools to retrieve and display data, providing a comprehensive analysis platform. In contrast, collectd typically stores collected metrics locally or sends them to a monitoring system or backend for further analysis.
   
3. **User Interface and Customization**: Grafana offers a user-friendly interface with extensive customization options, enabling users to create personalized dashboards with interactive features. On the contrary, collectd mainly operates in the background, focusing on data collection without offering a graphical user interface for customization.
   
4. **Real-time Monitoring vs. Historical Data Analysis**: Grafana supports real-time monitoring by displaying up-to-date metrics in dynamic dashboards, allowing users to monitor changes instantly. In contrast, collectd focuses on historical data analysis by storing metrics over time for trend analysis and long-term performance monitoring.
   
5. **Alerting and Notification**: Grafana provides robust alerting mechanisms where users can set thresholds on metrics and receive notifications via various channels like email, Slack, or PagerDuty when predefined conditions are met. Collectd, on the other hand, lacks built-in alerting capabilities and primarily focuses on data collection rather than real-time notifications.
   
6. **Integration and Compatibility**: Grafana offers seamless integration with a wide range of data sources and monitoring tools, making it versatile for different use cases and environments. In contrast, collectd is more limited in integration options and is primarily tailored for system performance monitoring within specific configurations.

In Summary, Grafana and collectd serve distinct purposes in the monitoring and data analysis ecosystem, with Grafana specializing in data visualization and real-time monitoring, while collectd focuses on system metrics collection and historical data analysis.```

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Advice on collectd, Grafana

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.

402k views402k
Comments
StackShare
StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments

Detailed Comparison

collectd
collectd
Grafana
Grafana

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.

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.

fast;simple;integrated;easy to operate
Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating
Statistics
GitHub Stars
3.3K
GitHub Stars
70.7K
GitHub Forks
1.3K
GitHub Forks
13.1K
Stacks
98
Stacks
18.4K
Followers
156
Followers
14.6K
Votes
5
Votes
415
Pros & Cons
Pros
  • 2
    Open Source
  • 2
    Modular, plugins
  • 1
    KISS
Pros
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
Cons
  • 1
    No interactive query builder
Integrations
No integrations available
Graphite
Graphite
InfluxDB
InfluxDB

What are some alternatives to collectd, Grafana?

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).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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