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

Grafana vs NetData

OverviewDecisionsComparisonAlternatives

Overview

Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K
Netdata
Netdata
Stacks226
Followers392
Votes82

Grafana vs NetData: What are the differences?

Introduction

Grafana and NetData are both monitoring tools used to collect and visualize real-time data from various sources. While they serve a similar purpose, they have key differences in terms of their features and capabilities. This Markdown code will present the key differences between Grafana and NetData in a concise and structured manner.

  1. Data Sources: Grafana supports a wide range of data sources including popular databases, cloud platforms, and APIs. It provides a flexible querying language and allows users to create customized dashboards with data from different sources. In contrast, NetData focuses primarily on collecting system-level metrics from the host machine itself. It monitors various system resources and provides real-time insights into their performance.

  2. Visualization Capabilities: Grafana offers extensive visualization capabilities with a rich set of panels, charts, and graphs. It allows users to customize the appearance of their dashboards and create interactive visualizations. NetData, on the other hand, provides a simpler interface focused on real-time monitoring. It offers basic visualizations and focuses more on delivering real-time performance metrics at the system level.

  3. Alerting and Notification: Grafana has advanced alerting and notification features that allow users to set up rules and thresholds to trigger alerts based on specific conditions. It supports various notification channels such as email, Slack, and PagerDuty. NetData, however, does not have built-in alerting capabilities. While it provides real-time insights into system performance, it does not provide alerts or notifications for specific events or thresholds.

  4. Community and Ecosystem: Grafana has a large and active community that contributes to the development of plugins, integrations, and dashboards. It has an extensive ecosystem with a wide range of plugins and integrations available for different data sources. NetData also has a community-driven ecosystem, but it is relatively smaller compared to Grafana. It primarily focuses on monitoring system-level metrics without extensive integrations with third-party tools.

  5. Ease of Use: Grafana provides a user-friendly interface with intuitive drag-and-drop features for creating dashboards. It has a flexible and powerful query editor that allows users to generate complex queries easily. NetData, on the other hand, has a lightweight and simple interface designed for quick installation and real-time monitoring. It provides a straightforward configuration process and does not require extensive setup or customization.

  6. Use Cases: Grafana is widely used for monitoring and visualizing data across different industries and applications. It is commonly used in IT operations, DevOps, and business intelligence for monitoring and analyzing various metrics. NetData, on the other hand, is primarily used for monitoring system-level metrics in real-time. It is commonly used by system administrators, network engineers, and developers for troubleshooting and performance tuning.

In summary, Grafana provides extensive data source support, advanced visualization capabilities, alerting, and a large ecosystem. NetData focuses on real-time monitoring of system-level metrics with simplicity and ease of use.

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Advice on Grafana, Netdata

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

Grafana
Grafana
Netdata
Netdata

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.

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

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
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
Statistics
GitHub Stars
70.7K
GitHub Stars
-
GitHub Forks
13.1K
GitHub Forks
-
Stacks
18.4K
Stacks
226
Followers
14.6K
Followers
392
Votes
415
Votes
82
Pros & Cons
Pros
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
Cons
  • 1
    No interactive query builder
Pros
  • 17
    Free
  • 14
    Easy setup
  • 12
    Graphs are interactive
  • 9
    Montiors datasbases
  • 9
    Well maintained on github
Integrations
Graphite
Graphite
InfluxDB
InfluxDB
Puppet Labs
Puppet Labs
CouchDB
CouchDB
ActiveMQ
ActiveMQ
Logstash
Logstash
Fail2ban
Fail2ban
TimescaleDB
TimescaleDB
Windows
Windows
MongoDB
MongoDB
RabbitMQ
RabbitMQ
Apache Tomcat
Apache Tomcat

What are some alternatives to Grafana, Netdata?

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

Telegraf

Telegraf

It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.

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