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NetData vs Zabbix: What are the differences?

  1. Scalability: NetData is known for its light-weight and highly scalable architecture, allowing it to efficiently monitor thousands of systems in real-time. On the other hand, Zabbix can also handle large-scale deployments, but it requires more resources and configuration complexity compared to NetData.

  2. Ease of Installation: NetData is incredibly easy to install, requiring only a single command. It automatically detects and configures all available plugins and starts monitoring immediately without any additional setup. In contrast, Zabbix installation involves multiple steps, including database setup, configuration file modifications, and agent installation, which can be more time-consuming and complex.

  3. Real-time Monitoring: NetData provides real-time monitoring with minimal delay, often displaying data with a one-second granularity. This makes it ideal for monitoring critical systems and applications that require instant visibility into performance metrics. Zabbix, on the other hand, offers near real-time monitoring with configurable update intervals, where data may take several seconds or minutes to become available.

  4. User Interface: NetData offers a simple yet intuitive web-based user interface with interactive charts and graphs, providing an instant overview of monitored metrics. It focuses on simplicity and ease of use, enabling users to quickly identify and troubleshoot issues. Zabbix, on the other hand, provides a more comprehensive user interface with a wide range of features, including dashboards, reports, and customizable views, making it suitable for more advanced monitoring requirements.

  5. Agentless Architecture: NetData utilizes an agentless architecture, meaning it does not require any additional software to be installed on the monitored systems. This simplifies the deployment process and reduces resource consumption on the monitored systems. In contrast, Zabbix follows an agent-based architecture, where agents need to be installed on each system to collect data, making the setup process more complex and resource-intensive.

  6. Alerting and Notification: NetData provides built-in alerting and notification capabilities, allowing users to define custom thresholds and receive instant alerts via various channels such as email, Slack, or PagerDuty. Zabbix also offers advanced alerting and notification features but requires additional configuration and setup to enable these functionalities.

In Summary, NetData stands out for its scalability, ease of installation, real-time monitoring, intuitive user interface, agentless architecture, and built-in alerting capabilities, while Zabbix offers a more comprehensive interface, customizable views, and advanced alerting features but with more complex installation and configuration processes.

Advice on Netdata and Zabbix
Needs advice
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CentreonCentreon
and
ZabbixZabbix

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!

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Replies (4)
Geoffrey Timmerman
Systems Engineer at Simac · | 6 upvotes · 295.5K views
Recommends
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ZabbixZabbix
at

I work at Volvo Car Corporation as a consultant Project Manager. We have deployed Zabbix in all of our factories for factory monitoring because after thorough investigation we saw that Zabbix supports the wide variety of Operating Systems, hardware peripherals and devices a Car Manufacturer has.

No other tool had the same amount of support onboard for our production environment and we didn't want to end up using a different tool again for several areas. That is the major strong point about Zabbix and it's free of course. Another strong point is the documentation which is widely available; Zabbix Youtube channel with tutorial video's, Zabbix share which holds free templates, the Zabbix online documentation and the Zabbix forum also helped us out quite a bit. Deployment is quite easy since it uses templates, so almost all configuration can be done on server side.

To conclude, we are really pleased with the tool so far, it helped us detect several causes of issues that were a pain to solve in the past.

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Recommends
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CentreonCentreon

Centreon is part of the Nagios ecosystem, meaning there is a huge number of resources you may find around in the community (plugins, skills, addons). Zabbix monitoring paradigms are totally different from Centreon. Centreon plugins have some kind of intelligence when they are launched, where Zabbix monitoring rules are configured centrally with the raw data collected. Testing both will help you understand :) Users used to say Centreon may be faster for setup and deployment. And in the end, both are full of monitoring features. Centreon has out of the box a full catalog of probes from cloud to the edge https://www.centreon.com/en/plugins-pack-list/ As soon as you have defined your monitoring policies and template, you can deploy it fast through command line API or REST API. Centreon plays well in the ITSM, Automation, AIOps spaces with many connectors for Prometheus, ServiceNow, GLPI, Ansible, Chef, Splunk, ... The polling server mode is one of the differentiators with Centreon. You set up remote server(s) and chose btw multiple information-exchange mechanisms. Powerful and resilient for remote, VPN, DMZ, satellite networks. Centreon is a good value for price to do a data collection (availability, performance, fault) on a wide range of technologies (physical, legacy, cloud). There are pro support and enterprise version with dashboards and reporting. IT Central Station gathers many user feedback you can rely on both Centreon & Zabbix https://www.itcentralstation.com/products/centreon-reviews  

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muutech
at Muutech Monitoring Solutions, S.L. · | 3 upvotes · 292.9K views
Recommends
on
ZabbixZabbix

We highly recommend Zabbix. We have used it to build our own monitoring product (available on cloud -like datadog- or on premise with support) because of its flexibility and extendability. It can be easily integrated with the powerful dashboarding and data aggregation of Grafana, so it is perfect. All configuration is done via web and templates, so it scales well and can be distributed via proxies. I think there also more companies providing consultancy in Zabbix (like ours) than Centreon and community is much wider. Also Zabbix roadmap and focus (compatibility with Elasticsearch, Prometheus, TimescaleDB) is really really good.

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KamonKamon
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Hi Vivek, what's your stack? If huge monitoring bills are your concern and if you’re using a number of JVM languages, or mostly Scala / Akka, and would like “one tool to monitor them all”, Kamon might be the friendliest choice to go for.

Kamon APM’s major benefit is it comes with a built-in dashboard for the most important metrics to monitor, taking the pain of figuring out what to monitor and building your own dashboards for weeks out of the monitoring.

https://kamon.io/apm/

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Pros of Netdata
Pros of Zabbix
  • 17
    Free
  • 14
    Easy setup
  • 12
    Graphs are interactive
  • 9
    Montiors datasbases
  • 9
    Well maintained on github
  • 8
    Monitors nginx, redis, logs
  • 4
    Can submit metrics to Time Series databases
  • 3
    Open source
  • 2
    Easy Alert Setop
  • 2
    Netdata is also a statsd server
  • 1
    Written in C
  • 1
    GPLv3
  • 0
    Zabbix
  • 21
    Free
  • 9
    Alerts
  • 5
    Service/node/network discovery
  • 5
    Templates
  • 4
    Base metrics from the box
  • 3
    Multi-dashboards
  • 3
    SMS/Email/Messenger alerts
  • 2
    Grafana plugin available
  • 2
    Supports Graphs ans screens
  • 2
    Support proxies (for monitoring remote branches)
  • 1
    Perform website checking (response time, loading, ...)
  • 1
    API available for creating own apps
  • 1
    Templates free available (Zabbix Share)
  • 1
    Works with multiple databases
  • 1
    Advanced integrations
  • 1
    Supports multiple protocols/agents
  • 1
    Complete Logs Report
  • 1
    Open source
  • 1
    Supports large variety of Operating Systems
  • 1
    Supports JMX (Java, Tomcat, Jboss, ...)

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Cons of Netdata
Cons of Zabbix
    Be the first to leave a con
    • 5
      The UI is in PHP
    • 2
      Puppet module is sluggish

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    - No public GitHub repository available -

    What is 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

    What is Zabbix?

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

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    What are some alternatives to Netdata and Zabbix?
    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 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 is a host/service/network monitoring program written in C and released under the GNU General Public License.
    Munin
    Munin is a networked resource monitoring tool that can help analyze resource trends and "what just happened to kill our performance?" problems. It is designed to be very plug and play. A default installation provides a lot of graphs with almost no work.
    ELK
    It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
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