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

Centreon vs Kibana

OverviewDecisionsComparisonAlternatives

Overview

Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K
Centreon
Centreon
Stacks42
Followers84
Votes0
GitHub Stars136
Forks52

Centreon vs Kibana: What are the differences?

Key Differences: Centreon vs Kibana

Centreon and Kibana are two different tools that serve distinct purposes in the field of IT operations. Below are the key differences between Centreon and Kibana:

  1. Feature Set: Centreon is a comprehensive monitoring platform that allows users to monitor various aspects of their IT infrastructure, including network, systems, applications, and databases. On the other hand, Kibana is a data visualization tool that works in conjunction with Elasticsearch for real-time data analysis and visualization.

  2. Data Collection: Centreon collects data from various sources such as SNMP, WMI, SSH, and more to provide a holistic view of the IT environment. It supports data collection from a wide range of devices, systems, and applications. In contrast, Kibana relies on Elasticsearch as a data source, making it suitable for analyzing and visualizing data stored in Elasticsearch only.

  3. User Interface: Centreon offers a user-friendly web-based interface that provides a centralized view of the monitored infrastructure. It enables users to configure monitoring settings, view alerts, generate reports, and manage the overall monitoring process. On the other hand, Kibana provides a powerful and interactive data visualization interface that allows users to explore, analyze, and create visual representations of data stored in Elasticsearch.

  4. Alerting and Notification: Centreon includes advanced alerting capabilities, allowing users to define various thresholds and actions to be taken when specific conditions are met. It supports different notification methods such as email, SMS, and SNMP traps. In contrast, Kibana does not provide native alerting functionality. It mainly focuses on data visualization and analysis rather than proactive monitoring and alerting.

  5. Customization and Integration: Centreon offers extensive customization options and supports various integrations, enabling users to adapt the platform to their specific needs. Users can create custom monitoring plugins, dashboards, reports, and more. Kibana also supports customization but is primarily designed to work seamlessly with Elasticsearch and the Elastic Stack.

  6. Target Audience: Centreon is widely used by IT administrators and operations teams who require comprehensive monitoring capabilities to ensure the health and performance of their IT infrastructure. Kibana, on the other hand, appeals to data analysts, data scientists, and business intelligence professionals who need advanced data visualization and exploration capabilities for analyzing large datasets.

In summary, Centreon is a comprehensive monitoring platform that provides extensive monitoring capabilities across various IT infrastructure components. It offers a user-friendly interface, alerting capabilities, and supports data collection from a wide range of sources. On the other hand, Kibana is a powerful data visualization tool that works with Elasticsearch, focusing on real-time data analysis and visualization. While Centreon caters to IT administrators, Kibana targets data analysts and business intelligence professionals.

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Advice on Kibana, Centreon

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
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

Kibana
Kibana
Centreon
Centreon

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.

It is a network, system, applicative supervision and monitoring tool. It is one of the most flexible and powerful monitoring softwares on the market; it is absolutely free and Open Souce.

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
Supervision of hybrid infrastructures, from one end to the other;Open and flexible architecture that fits your organization;Open-source solution, downloadable for free; The supervision of dynamic infrastructures, with ease
Statistics
GitHub Stars
20.8K
GitHub Stars
136
GitHub Forks
8.5K
GitHub Forks
52
Stacks
20.6K
Stacks
42
Followers
16.4K
Followers
84
Votes
262
Votes
0
Pros & Cons
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
    Elasticsearch is huge
  • 4
    Works on top of elastic only
  • 3
    Hardweight UI
No community feedback yet
Integrations
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats
Amazon RDS
Amazon RDS
Amazon CloudFront
Amazon CloudFront
Amazon ElastiCache
Amazon ElastiCache
AWS Lambda
AWS Lambda
Azure Active Directory
Azure Active Directory
Cassandra
Cassandra
Azure Storage
Azure Storage
Amazon S3
Amazon S3
Azure Monitor
Azure Monitor
Azure SQL Database
Azure SQL Database

What are some alternatives to Kibana, Centreon?

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

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

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