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

Checkmk vs Kibana

OverviewDecisionsComparisonAlternatives

Overview

Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K
Checkmk
Checkmk
Stacks77
Followers99
Votes0

Checkmk vs Kibana: What are the differences?

Introduction:

This Markdown code provides a comparison between Checkmk and Kibana, highlighting their key differences.

  1. Integration and Purpose: Checkmk is an open-source IT monitoring software that aims to provide comprehensive monitoring of various infrastructure components and services. It is designed to detect and address performance issues and network problems. On the other hand, Kibana is a data visualization tool that works with the Elastic Stack. It focuses on analyzing and visualizing data stored in Elasticsearch.

  2. Data Storage and Management: Checkmk primarily gathers data from target systems and stores it in its own database. It provides a unified interface to access and manage this data for monitoring purposes. In contrast, Kibana relies on Elasticsearch as its primary data storage and management system. It utilizes Elasticsearch's powerful indexing and querying capabilities to handle large volumes of data.

  3. Monitoring Capabilities: Checkmk offers comprehensive monitoring capabilities for various components like servers, networks, applications, and databases. It supports active monitoring through agents installed on target systems, as well as passive monitoring through SNMP and other protocols. Kibana, being a visualization tool, does not provide built-in monitoring capabilities. It relies on data collected by Elasticsearch, which is typically obtained through other monitoring tools or systems.

  4. Alerting and Notification: Checkmk includes a robust alerting system that allows users to define thresholds and rules for triggering notifications. It supports various notification methods like emails, SMS, and integration with external ticketing systems. Kibana, being a data visualization tool, does not include built-in alerting and notification capabilities. Users typically rely on Elasticsearch's alerting features or integrate Kibana with external systems for this functionality.

  5. Visualization and Analysis: Checkmk provides basic visualization and analysis of monitoring data through graphs, charts, and reports within its own interface. However, its primary focus is on monitoring rather than advanced data visualization. Kibana, on the other hand, excels in data visualization and exploration. It offers a wide range of visualization options like bar charts, pie charts, maps, and time series analysis, allowing users to gain deeper insights and perform advanced analytics on their data.

  6. User Interface and Customization: Checkmk provides a user-friendly web-based interface for monitoring and managing systems. It offers customization options like creating dashboards, arranging widgets, and configuring views as per user preferences. Kibana also provides a web-based interface but is more focused on data visualization. It offers extensive customization options to design personalized dashboards, visualizations, and reports, making it highly flexible for different use cases.

In Summary, Checkmk is an IT monitoring software with comprehensive monitoring capabilities and a focus on performance and network issues, while Kibana is a data visualization tool that works with Elasticsearch and excels in data analysis and visualization.

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Advice on Kibana, Checkmk

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
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
abrahamfathman
abrahamfathman

Jun 26, 2019

ReviewonKibanaKibanaSplunkSplunkGrafanaGrafana

I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

2.29M views2.29M
Comments

Detailed Comparison

Kibana
Kibana
Checkmk
Checkmk

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.

Checkmk is a comprehensive solution for IT Monitoring of servers, applications, networks, cloud infrastructures (public, private, hybrid), containers, storage, databases and environment sensors.

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
State-based monitoring; Log- and event-based monitoring;Graphing and analytics;Customizable GUI;Reporting;Business Intelligence;Hardware and software inventory;Notifications and alert handler;Rule-based configuration, auto-discovery and agent deployment; Scalability; User Management with LDAP/Active Directory;Predictive Monitoring; Capacity Management; Single Sign-On; Dynamic host configuration
Statistics
GitHub Stars
20.8K
GitHub Stars
-
GitHub Forks
8.5K
GitHub Forks
-
Stacks
20.6K
Stacks
77
Followers
16.4K
Followers
99
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
No integrations available

What are some alternatives to Kibana, Checkmk?

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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