StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Ambari vs Zabbix

Ambari vs Zabbix

OverviewDecisionsComparisonAlternatives

Overview

Zabbix
Zabbix
Stacks684
Followers981
Votes66
GitHub Stars5.3K
Forks1.1K
Ambari
Ambari
Stacks44
Followers74
Votes2

Ambari vs Zabbix: What are the differences?

## Key differences between Ambari and Zabbix

<Write Introduction here>

1. **Monitoring Scope**: Ambari primarily focuses on managing and monitoring Hadoop clusters and related services, while Zabbix is a general-purpose monitoring tool that can monitor a wide range of resources, including servers, networks, applications, and services.
2. **Scalability**: Ambari is designed for large-scale deployments and is well-suited for enterprise-level environments, whereas Zabbix is more versatile in terms of scalability and can be utilized in both small and large infrastructures.
3. **Ease of Use**: Ambari offers a user-friendly web interface with predefined metrics, making it easier for users to set up and monitor their clusters, while Zabbix provides more flexibility in configuration but may require additional setup and customization.
4. **Agent vs. Agentless Monitoring**: Zabbix follows an agent-based monitoring approach, where agents are installed on the target hosts to collect data, while Ambari supports agentless monitoring, reducing the overhead of deploying and managing agents on multiple servers.
5. **Alerting Mechanisms**: Zabbix offers extensive alerting capabilities, allowing users to define and customize alert conditions and actions based on their specific requirements, whereas Ambari provides basic alerting features that may require integration with additional tools for more advanced alerting functionalities.
6. **Community Support and Integration**: Zabbix has a wider community base and extensive documentation, making it easier to find solutions to issues and integrate with third-party tools, while Ambari, being Hadoop-centric, may have limited community support for non-Hadoop related configurations and troubleshooting.

In Summary, Ambari and Zabbix differ in monitoring scope, scalability, ease of use, monitoring approach, alerting mechanisms, and community support and integration.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Zabbix, Ambari

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
Ambari
Ambari

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

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.

Smart, Highly Automated Metric Collection; Advanced Problem Detection; Intelligent Alerting and Remediation
Alerts; Ambari Python Libraries; Automated Kerberizaton; Blueprints; Configurations; Service Dashboards; Metrics
Statistics
GitHub Stars
5.3K
GitHub Stars
-
GitHub Forks
1.1K
GitHub Forks
-
Stacks
684
Stacks
44
Followers
981
Followers
74
Votes
66
Votes
2
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
  • 2
    Ease of use
Integrations
Slack
Slack
Jira
Jira
PagerDuty
PagerDuty
Grafana
Grafana
Ansible
Ansible
Skype
Skype
Chef
Chef
Bugzilla
Bugzilla
HipChat
HipChat
ServiceNow.com
ServiceNow.com
Hadoop
Hadoop
Ubuntu
Ubuntu
Debian
Debian

What are some alternatives to Zabbix, 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

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

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana