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

Graphite vs NetData

OverviewDecisionsComparisonAlternatives

Overview

Graphite
Graphite
Stacks383
Followers419
Votes42
GitHub Stars6.0K
Forks1.3K
Netdata
Netdata
Stacks226
Followers392
Votes82

Graphite vs NetData: What are the differences?

# Introduction

Key Differences between Graphite and NetData:

1. **Data Storage**: Graphite stores its data in fixed-size, pre-allocated files on disk which can lead to inefficiencies when dealing with huge amounts of data. On the other hand, NetData uses an in-memory database for real-time metrics storage, offering higher performance and faster access to data.
   
2. **Scalability**: Graphite may face scalability issues due to its reliance on the Whisper time-series database for storing metrics. In contrast, NetData is designed to be highly scalable, capable of handling large volumes of metrics across distributed systems without compromising performance.
   
3. **Ease of Installation**: NetData provides a straightforward installation process with no dependencies, enabling users to quickly set up monitoring for their systems. Graphite, on the other hand, requires additional components such as Carbon and Grafana, making the installation process more complex.
   
4. **Visualization Capabilities**: Graphite offers advanced graphing capabilities and customizable dashboards through integration with tools like Grafana. NetData, on the other hand, provides real-time visualizations out of the box, making it easier for users to monitor system metrics without the need for additional configuration.
   
5. **Monitoring Approach**: Graphite focuses primarily on long-term storage and graphing of historical data, making it ideal for trend analysis and capacity planning. NetData, on the other hand, emphasizes real-time monitoring and alerting, allowing users to quickly identify and respond to performance issues as they occur.
   
6. **Community Support**: Graphite has a well-established community with a rich ecosystem of plugins and extensions, offering flexibility in customizing monitoring solutions. While NetData also has a growing community, it may have fewer third-party integrations compared to Graphite due to its relative novelty in the monitoring space.

In Summary, Graphite and NetData differ in their approach to data storage, scalability, ease of installation, visualization capabilities, monitoring focus, and community support.

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Advice on Graphite, Netdata

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

Graphite
Graphite
Netdata
Netdata

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

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

carbon - a Twisted daemon that listens for time-series data;whisper - a simple database library for storing time-series data (similar in design to RRD);graphite webapp - A Django webapp that renders graphs on-demand using Cairo
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
6.0K
GitHub Stars
-
GitHub Forks
1.3K
GitHub Forks
-
Stacks
383
Stacks
226
Followers
419
Followers
392
Votes
42
Votes
82
Pros & Cons
Pros
  • 16
    Render any graph
  • 9
    Great functions to apply on timeseries
  • 8
    Well supported integrations
  • 6
    Includes event tracking
  • 3
    Rolling aggregation makes storage managable
Pros
  • 17
    Free
  • 14
    Easy setup
  • 12
    Graphs are interactive
  • 9
    Well maintained on github
  • 9
    Montiors datasbases
Integrations
Sensu
Sensu
Nagios
Nagios
Logstash
Logstash
Windows Server
Windows Server
Riemann
Riemann
Diamond
Diamond
Telegraf
Telegraf
collectd
collectd
Ganglia
Ganglia
Puppet Labs
Puppet Labs
CouchDB
CouchDB
ActiveMQ
ActiveMQ
Logstash
Logstash
Fail2ban
Fail2ban
TimescaleDB
TimescaleDB
Windows
Windows
Grafana
Grafana
MongoDB
MongoDB
RabbitMQ
RabbitMQ

What are some alternatives to Graphite, Netdata?

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.

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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