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

Ganglia vs Grafana

OverviewDecisionsComparisonAlternatives

Overview

Ganglia
Ganglia
Stacks27
Followers88
Votes0
Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K

Ganglia vs Grafana: What are the differences?

Introduction

The use of monitoring tools has become crucial for businesses to track, analyze, and visualize their data effectively. Two widely used monitoring tools in the IT industry are Ganglia and Grafana. While both platforms offer monitoring capabilities, there are several key differences between the two that set them apart.

  1. Scalability: Ganglia is designed to handle large-scale monitoring environments, making it an ideal choice for organizations with thousands of nodes. It utilizes a hierarchical design to efficiently collect and aggregate metrics. On the other hand, Grafana is more suitable for smaller to mid-sized deployments, with a focus on visualizing data from various sources.

  2. Data Sources: Ganglia primarily relies on plugins and built-in modules to gather metrics from systems, including network devices, servers, and applications. It is particularly proficient at collecting and displaying system-level statistics. Conversely, Grafana is agnostic to data sources and can integrate with a wide range of tools and databases, including Prometheus, InfluxDB, and Elasticsearch, offering flexibility in accessing and analyzing diverse data sets.

  3. Dashboard Customization: Grafana shines when it comes to customizable dashboards. It provides an intuitive, drag-and-drop interface for users to create visually appealing and interactive dashboards with various panels and widgets. Ganglia, while offering basic customization options, does not provide the same level of flexibility and visual appeal for creating rich dashboards.

  4. Alerting and Notification: Grafana offers advanced alerting capabilities, allowing users to define and configure alerts based on specific thresholds or conditions. It also supports various notification channels such as email, Slack, and PagerDuty to ensure timely alerts reach the right individuals. In contrast, Ganglia does not provide built-in alerting and notification functionality, requiring users to rely on external tools or scripts for this purpose.

  5. Community and Support: Grafana boasts a large and vibrant community with extensive documentation, active forums, and a rich ecosystem of plugins and integrations. This ensures users have plenty of resources and support to address their queries or extend the functionality of the tool. While Ganglia also has an active community, its user base and support offerings are relatively smaller compared to Grafana.

  6. User Interface and Ease of Use: Grafana's user interface is praised for its simplicity and intuitiveness. It provides a user-friendly experience for both beginners and experienced users. Ganglia, while functional, may require a steeper learning curve due to its less intuitive interface and configuration process.

In summary, Ganglia excels in large-scale monitoring environments with its hierarchical design and system-level statistics, whereas Grafana offers unparalleled flexibility, customization options, and visualization capabilities with a wide range of data sources and advanced alerting features.

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Advice on Ganglia, 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

Ganglia
Ganglia
Grafana
Grafana

It is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters.

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.

-
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
-
GitHub Stars
70.7K
GitHub Forks
-
GitHub Forks
13.1K
Stacks
27
Stacks
18.4K
Followers
88
Followers
14.6K
Votes
0
Votes
415
Pros & Cons
No community feedback yet
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 Ganglia, 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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