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

Ambari vs Checkmk

OverviewComparisonAlternatives

Overview

Checkmk
Checkmk
Stacks77
Followers99
Votes0
Ambari
Ambari
Stacks44
Followers74
Votes2

Ambari vs Checkmk: What are the differences?

Developers describe Ambari as "A software for provisioning, managing, and monitoring Apache Hadoop clusters". This project is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. It provides an intuitive, easy-to-use Hadoop management web UI backed by its RESTful APIs. On the other hand, Checkmk is detailed as "A tool for Infrastructure & Application Monitoring". It is a software developed for IT Infrastructure monitoring. It is used for the monitoring of servers, applications, networks, cloud infrastructures, containers, storage, databases and environment sensors.

Ambari and Checkmk can be primarily classified as "Monitoring" tools.

Some of the features offered by Ambari are:

  • Alerts
  • Ambari Python Libraries
  • Automated Kerberizaton

On the other hand, Checkmk provides the following key features:

  • State-based monitoring
  • Log- and event-based monitoring
  • Graphing and analytics

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Detailed Comparison

Checkmk
Checkmk
Ambari
Ambari

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

This project is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. It provides an intuitive, easy-to-use Hadoop management web UI backed by its RESTful APIs.

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
Alerts; Ambari Python Libraries; Automated Kerberizaton; Blueprints; Configurations; Service Dashboards; Metrics
Statistics
Stacks
77
Stacks
44
Followers
99
Followers
74
Votes
0
Votes
2
Pros & Cons
No community feedback yet
Pros
  • 2
    Ease of use
Integrations
No integrations available
Hadoop
Hadoop
Ubuntu
Ubuntu
Debian
Debian

What are some alternatives to Checkmk, Ambari?

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

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).

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