StatsD vs Zabbix

Overview

StatsD

Stacks373

Followers293

Votes31

Zabbix

Stacks684

Followers981

Votes66

GitHub Stars5.3K

Forks1.1K

StatsD vs Zabbix: What are the differences?

Developers describe StatsD as "Simple daemon for easy stats aggregation". StatsD is a front-end proxy for the Graphite/Carbon metrics server, originally written by Etsy's Erik Kastner. StatsD is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP and sends aggregates to one or more pluggable backend services (e.g., Graphite). On the other hand, Zabbix is detailed as "Track, record, alert and visualize performance and availability of IT resources". Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

StatsD and Zabbix can be primarily classified as "Monitoring" tools.

StatsD and Zabbix are both open source tools. It seems that StatsD with 14.1K GitHub stars and 1.83K forks on GitHub has more adoption than Zabbix with 493 GitHub stars and 182 GitHub forks.

According to the StackShare community, StatsD has a broader approval, being mentioned in 72 company stacks & 16 developers stacks; compared to Zabbix, which is listed in 46 company stacks and 23 developer stacks.

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Advice on StatsD, Zabbix

vivek

Jun 8, 2020

Needs adviceon

Centreon

Zabbix

Datadog

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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Comments

Detailed Comparison

StatsD	Zabbix
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).	Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.
Network daemon; Runs on the Node.js platform; Sends aggregates to one or more pluggable backend services	Smart, Highly Automated Metric Collection; Advanced Problem Detection; Intelligent Alerting and Remediation
Statistics
GitHub Stars -	GitHub Stars 5.3K
GitHub Forks -	GitHub Forks 1.1K
Stacks 373	Stacks 684
Followers 293	Followers 981
Votes 31	Votes 66
Pros & Cons
Pros 9 Open source 7 Single responsibility 5 Efficient wire format 3 Loads of integrations 3 Handles aggregation Cons 1 No authentication; cannot be used over Internet	Pros 21 Free 9 Alerts 5 Templates 5 Service/node/network discovery 4 Base metrics from the box Cons 5 The UI is in PHP 2 Puppet module is sluggish
Integrations
Node.js Docker Graphite	Slack Jira PagerDuty Grafana Ansible Skype Chef Bugzilla HipChat ServiceNow.com

What are some alternatives to StatsD, 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.

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 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.

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 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 does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

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.

Jaeger

Jaeger, a Distributed Tracing System

Telegraf

It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.

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