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

Grafana vs Zabbix

OverviewDecisionsComparisonAlternatives

Overview

Zabbix
Zabbix
Stacks684
Followers981
Votes66
GitHub Stars5.3K
Forks1.1K
Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K

Grafana vs Zabbix: What are the differences?

Grafana and Zabbix are monitoring solutions. Grafana is a versatile open-source platform known for its visualization capabilities, while Zabbix is an all-encompassing monitoring system with a focus on infrastructure and network monitoring. Let's discuss the key differences between them.

  1. Data Collection and Visualization: Grafana is primarily focused on visualization, providing a user-friendly interface for creating and displaying dashboards with various data sources. Zabbix, on the other hand, not only offers visualization capabilities but also includes robust data collection features. It can collect data from a wide range of sources, including SNMP, JMX, IPMI, and more, making it a comprehensive solution for monitoring and troubleshooting network infrastructures.

  2. Alerting and Notification: Grafana provides basic alerting capabilities, allowing users to set up threshold-based alerts and send notifications via various channels. However, Zabbix offers more advanced alerting and notification functionalities. It supports flexible trigger conditions, escalations, and event acknowledgments, making it suitable for managing complex alert workflows in large-scale environments.

  3. Scalability and Performance: Both Grafana and Zabbix are designed to handle large amounts of data, but they differ in their underlying architectures. Grafana can be easily scaled horizontally by deploying multiple instances behind a load balancer, making it suitable for high availability and distributed setups. Zabbix, on the other hand, is a monolithic application that requires vertical scaling by increasing hardware resources for optimal performance.

  4. Ease of Use: Grafana is known for its intuitive and user-friendly interface, making it easy for non-technical users to create and customize dashboards. It provides a rich set of features for data visualization, such as drag-and-drop panels and an extensive library of plugins. Zabbix, while offering a comprehensive set of functionalities, has a steeper learning curve and may require more technical expertise to navigate and configure.

  5. Community and Ecosystem: Grafana has a vibrant and active open-source community, with a wide range of plugins and integrations available for extending its functionalities. It is widely adopted and supported by various companies and organizations, contributing to its continuous development and improvement. Zabbix also has a dedicated community and offers multiple integrations but may not have the same level of extensibility and community support as Grafana.

  6. Supported Platforms: Grafana provides support for a wide range of platforms and databases, including popular ones like MySQL, PostgreSQL, InfluxDB, and Prometheus. It can integrate with different data sources seamlessly, allowing users to create unified dashboards. Zabbix, on the other hand, is primarily designed to work with its own backend database and supports a limited number of platforms out of the box. While it is possible to integrate Zabbix with other databases, it may require additional configurations and customizations.

In summary, Grafana is focused on visualization and offers a user-friendly interface, while Zabbix provides comprehensive monitoring and alerting capabilities. Grafana has a more intuitive interface and a larger community, while Zabbix may require more technical expertise and offers deeper data collection features.

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Advice on Zabbix, 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
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
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

Detailed Comparison

Zabbix
Zabbix
Grafana
Grafana

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

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.

Smart, Highly Automated Metric Collection; Advanced Problem Detection; Intelligent Alerting and Remediation
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
5.3K
GitHub Stars
70.7K
GitHub Forks
1.1K
GitHub Forks
13.1K
Stacks
684
Stacks
18.4K
Followers
981
Followers
14.6K
Votes
66
Votes
415
Pros & Cons
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
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
Slack
Slack
Jira
Jira
PagerDuty
PagerDuty
Ansible
Ansible
Skype
Skype
Chef
Chef
Bugzilla
Bugzilla
HipChat
HipChat
ServiceNow.com
ServiceNow.com
Graphite
Graphite
InfluxDB
InfluxDB

What are some alternatives to Zabbix, 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

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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