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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Glances vs Netdata

Glances vs Netdata

OverviewComparisonAlternatives

Overview

Netdata
Netdata
Stacks226
Followers392
Votes82
Glances
Glances
Stacks5
Followers7
Votes0
GitHub Stars30.4K
Forks1.6K

Glances vs Netdata: What are the differences?

Introduction

Glances and Netdata are both open-source monitoring tools that provide real-time performance and resource utilization metrics for servers and systems. While they share similar goals, there are key differences between the two that make them distinct in terms of features and functionalities.

  1. Architecture:

    Glances is a lightweight monitoring tool that runs as a single process on the system it is monitoring. It collects data from various sources on the local or remote machines and displays them in a unified interface. On the other hand, Netdata follows a distributed architecture, where each monitored system runs its own instance of Netdata and sends data to a central Netdata dashboard. This distributed approach allows for scaling and monitoring of multiple systems from a single interface.

  2. Data Collection and Visualization:

    Glances focuses on providing a comprehensive look at system metrics, with a broad set of data points including CPU, memory, disk I/O, network traffic, and processes. It displays this information in a concise and easy-to-understand manner, utilizing color-coded indicators for quick visualization. Netdata, on the other hand, specializes in real-time visualization of system performance data with a highly granular level of detail. It offers extensive graphing capabilities, displaying metrics like CPU utilization, RAM usage, disk I/O latency, and network connections.

  3. Ease of Installation and Configuration:

    Glances aims to be a plug-and-play monitoring solution with minimal configuration required. It can be installed via package managers like apt or yum, and launched with a simple command. Netdata, while still relatively easy to install, provides more advanced configuration options. It offers a web-based configuration panel where users can fine-tune various settings and customize the monitoring behavior.

  4. Alerting and Notification:

    Glances lacks built-in alerting and notification functionality. It focuses primarily on real-time monitoring and visualization. Netdata, on the other hand, offers flexible alerting and notification options. Users can set up custom alarms based on specific conditions and thresholds. Netdata can send alert notifications via email, Slack, Telegram, or other popular messaging services.

  5. Third-party Integrations:

    Glances has limited support for third-party integrations and plugins. It can be extended with small custom scripts, but its ecosystem is relatively small compared to Netdata. Netdata, on the other hand, provides a robust API and has a thriving community of contributors who develop various integrations. It offers native support for popular monitoring tools like Prometheus, Grafana, and Elasticsearch, allowing users to integrate Netdata with their existing monitoring stacks.

  6. Web Interface and User Experience:

    Glances offers a command-line interface (CLI) by default, which provides a lightweight and efficient monitoring experience. However, for users who prefer a graphical interface, Glances also provides a web mode that can be accessed through any web browser. Netdata, on the other hand, is primarily designed as a web-based monitoring tool. Its web interface is feature-rich, dynamic, and provides real-time visualization of system metrics with interactive charts and graphs.

In Summary, Glances and Netdata differ in terms of architecture, data collection and visualization, ease of installation and configuration, alerting and notification capabilities, third-party integrations, and web interface user experience.

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CLI (Node.js)
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Detailed Comparison

Netdata
Netdata
Glances
Glances

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

It is a cross-platform monitoring tool which aims to present a maximum of information in a minimum of space through a curses or Web based interface. It can adapt dynamically the displayed information depending on the terminal size.

Free, open-source; Easy installation and configuration; Access to monitoring unlimited metrics; Prebuilt dashboards and alarms; alerts on any metric, for a single host, an entire cluster, or your entire infrastructure; Tools for team collaboration; 800+ integrations
Cross-platform; System monitoring tool; Web UI; Export
Statistics
GitHub Stars
-
GitHub Stars
30.4K
GitHub Forks
-
GitHub Forks
1.6K
Stacks
226
Stacks
5
Followers
392
Followers
7
Votes
82
Votes
0
Pros & Cons
Pros
  • 17
    Free
  • 14
    Easy setup
  • 12
    Graphs are interactive
  • 9
    Montiors datasbases
  • 9
    Well maintained on github
No community feedback yet
Integrations
Puppet Labs
Puppet Labs
CouchDB
CouchDB
ActiveMQ
ActiveMQ
Logstash
Logstash
Fail2ban
Fail2ban
TimescaleDB
TimescaleDB
Windows
Windows
Grafana
Grafana
MongoDB
MongoDB
RabbitMQ
RabbitMQ
Linux
Linux
Windows
Windows
FreeBSD
FreeBSD
Mac OS X
Mac OS X

What are some alternatives to Netdata, Glances?

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.

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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