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

Graphite vs Zabbix

OverviewDecisionsComparisonAlternatives

Overview

Graphite
Graphite
Stacks383
Followers419
Votes42
GitHub Stars6.0K
Forks1.3K
Zabbix
Zabbix
Stacks684
Followers981
Votes66
GitHub Stars5.3K
Forks1.1K

Graphite vs Zabbix: What are the differences?

Introduction

In this article, we will explore the key differences between Graphite and Zabbix, two popular tools used for monitoring and collecting metrics in a website or application environment.

  1. Scalability and Architecture: Graphite is built on a scalable distributed architecture, where individual components can be deployed on separate machines. It uses a Whisper database for long-term storage of time-series data, and the Graphite web application provides a user-friendly interface for data visualization. On the other hand, Zabbix follows a centralized architecture with a single server responsible for collecting and storing metrics. While Zabbix can handle a large number of monitored devices, Graphite's distributed architecture allows it to handle massive amounts of data and scale horizontally more effectively.

  2. Data Collection and Supported Data Sources: Graphite primarily focuses on time-series data collection and storage. It supports various data sources, such as applications, network devices, and servers, and metrics can be sent to Graphite using its native Carbon protocol or via other methods like StatsD. In contrast, Zabbix offers a wider range of monitoring capabilities, including not only time-series data but also log files, SNMP devices, IPMI-enabled systems, and more. Zabbix provides pre-built agents and templates for collecting data from different sources, making it more versatile in terms of data collection.

  3. Alerting and Notification: Both Graphite and Zabbix offer alerting and notification features, but there are some differences in how they handle this functionality. Graphite relies on external tools or custom scripts to evaluate metrics and trigger alerting actions. Users need to set up their own alerting mechanisms based on defined thresholds or patterns. On the other hand, Zabbix has native support for alerting and notification. It allows users to configure triggers and actions for specific conditions and events, and notifications can be sent through various channels like email, SMS, or instant messaging.

  4. Community and Ecosystem: Graphite has been around for a longer time and has a large and active community of users and contributors. It has a rich ecosystem with a wide range of integrations and extensions available. There are multiple third-party tools and libraries that work with Graphite, expanding its capabilities. Zabbix also has a strong community and ecosystem, but it may have a slightly smaller user base compared to Graphite. However, Zabbix provides a comprehensive set of features and built-in integrations, reducing the need for external tools in many cases.

  5. Ease of Setup and Configuration: Setting up Graphite can be a bit more involved compared to Zabbix. Graphite requires multiple components to be installed and configured, such as Carbon for data collection, Whisper for data storage, and the Graphite web application for visualization. Each component requires specific configuration files and dependencies. On the other hand, Zabbix provides an all-in-one package with a straightforward installation process. It includes the Zabbix server, front-end interface, and optional agents, allowing users to get started quickly with minimal configuration.

  6. Learning Curve and Usability: Graphite's learning curve can be steeper for users who are new to time-series databases and related concepts. While the Graphite web application provides a user-friendly interface for data visualization, understanding its query language and advanced features may require some effort. Zabbix, on the other hand, has a more intuitive user interface and a lower learning curve, making it easier for users to navigate and configure the system. It provides a range of pre-built templates and monitoring configurations, simplifying the setup process for common use cases.

In summary, Graphite and Zabbix have distinct differences in terms of scalability and architecture, supported data sources, alerting and notification, community and ecosystem, ease of setup and configuration, as well as learning curve and usability. Choosing the right tool depends on specific requirements and preferences, with Graphite being a scalable and focused solution for time-series data, while Zabbix offers broader monitoring capabilities with easier setup and configuration.

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Advice on Graphite, Zabbix

vivek
vivek

Jun 8, 2020

Needs adviceonCentreonCentreonZabbixZabbixDatadogDatadog

My team is divided on using Centreon or Zabbix for enterprise monitoring and alert automation. Can someone let us know which one is better? There is one more tool called Datadog that we are using for cloud assets. Of course, Datadog presents us with huge bills. So we want to have a comparative study. Suggestions and advice are welcome. Thanks!

795k views795k
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

Graphite
Graphite
Zabbix
Zabbix

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

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

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
Smart, Highly Automated Metric Collection; Advanced Problem Detection; Intelligent Alerting and Remediation
Statistics
GitHub Stars
6.0K
GitHub Stars
5.3K
GitHub Forks
1.3K
GitHub Forks
1.1K
Stacks
383
Stacks
684
Followers
419
Followers
981
Votes
42
Votes
66
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
  • 21
    Free
  • 9
    Alerts
  • 5
    Service/node/network discovery
  • 5
    Templates
  • 4
    Base metrics from the box
Cons
  • 5
    The UI is in PHP
  • 2
    Puppet module is sluggish
Integrations
Sensu
Sensu
Nagios
Nagios
Logstash
Logstash
Windows Server
Windows Server
Netdata
Netdata
Riemann
Riemann
Diamond
Diamond
Telegraf
Telegraf
collectd
collectd
Ganglia
Ganglia
Slack
Slack
Jira
Jira
PagerDuty
PagerDuty
Grafana
Grafana
Ansible
Ansible
Skype
Skype
Chef
Chef
Bugzilla
Bugzilla
HipChat
HipChat
ServiceNow.com
ServiceNow.com

What are some alternatives to Graphite, Zabbix?

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.

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

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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