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

Kibana vs Zabbix

OverviewDecisionsComparisonAlternatives

Overview

Zabbix
Zabbix
Stacks684
Followers981
Votes66
GitHub Stars5.3K
Forks1.1K
Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K

Kibana vs Zabbix: What are the differences?

Comparison between Kibana and Zabbix

Kibana and Zabbix are both monitoring and analytics tools used in IT operations. However, there are several key differences that set them apart.

  1. Scalability: Kibana excels at handling large volumes of data and is highly scalable, making it suitable for enterprises with big data needs. On the other hand, Zabbix is designed for smaller scale deployments and may not be as efficient with handling large amounts of data.

  2. Data Visualization: Kibana is known for its powerful data visualization capabilities, providing interactive charts, dashboards, and maps to analyze and present data. Zabbix, while offering basic visualization features, may not be as flexible or visually appealing for data representation.

  3. Alerting and Notification: Zabbix offers advanced alerting and notification functionality, enabling users to define custom triggers and receive alerts via various channels like email, SMS, or instant messaging. Kibana, on the other hand, lacks built-in alerting capabilities and relies on integrations with other tools for this purpose.

  4. Data Source Support: Zabbix primarily focuses on monitoring infrastructure components like networks, servers, and applications, with support for a wide range of data sources out of the box. Kibana, on the other hand, is more flexible and can work with various data sources beyond infrastructure monitoring, such as machine logs or social media data.

  5. Ease of Use: Kibana provides a user-friendly and intuitive interface, making it easier for users to navigate and interact with data. Zabbix, while powerful, may have a steeper learning curve and require more technical expertise to fully utilize its capabilities.

  6. Integration with Elasticsearch: Kibana is tightly integrated with Elasticsearch, a popular distributed search and analytics engine, allowing for seamless data retrieval and analysis. Zabbix, on the other hand, has its own built-in database and does not have the same level of integration with external data sources.

In summary, Kibana offers superior scalability, advanced data visualization capabilities, and flexibility in handling different data sources, while Zabbix provides robust alerting functions and specializes in infrastructure monitoring. The choice between the two ultimately depends on specific organizational needs and preferences.

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Advice on Zabbix, Kibana

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
matteo1989it
matteo1989it

Jun 26, 2019

ReviewonKibanaKibanaGrafanaGrafanaElasticsearchElasticsearch

I use both Kibana and Grafana on my workplace: Kibana for logging and Grafana for monitoring. Since you already work with Elasticsearch, I think Kibana is the safest choice in terms of ease of use and variety of messages it can manage, while Grafana has still (in my opinion) a strong link to metrics

757k views757k
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

Detailed Comparison

Zabbix
Zabbix
Kibana
Kibana

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

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.

Smart, Highly Automated Metric Collection; Advanced Problem Detection; Intelligent Alerting and Remediation
Flexible analytics and visualization platform;Real-time summary and charting of streaming data;Intuitive interface for a variety of users;Instant sharing and embedding of dashboards
Statistics
GitHub Stars
5.3K
GitHub Stars
20.8K
GitHub Forks
1.1K
GitHub Forks
8.5K
Stacks
684
Stacks
20.6K
Followers
981
Followers
16.4K
Votes
66
Votes
262
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
  • 88
    Easy to setup
  • 65
    Free
  • 45
    Can search text
  • 21
    Has pie chart
  • 13
    X-axis is not restricted to timestamp
Cons
  • 7
    Unintuituve
  • 4
    Works on top of elastic only
  • 4
    Elasticsearch is huge
  • 3
    Hardweight UI
Integrations
Slack
Slack
Jira
Jira
PagerDuty
PagerDuty
Grafana
Grafana
Ansible
Ansible
Skype
Skype
Chef
Chef
Bugzilla
Bugzilla
HipChat
HipChat
ServiceNow.com
ServiceNow.com
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats

What are some alternatives to Zabbix, Kibana?

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.

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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