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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Metricbeat vs NetData

Metricbeat vs NetData

OverviewDecisionsComparisonAlternatives

Overview

Netdata
Netdata
Stacks226
Followers392
Votes82
Metricbeat
Metricbeat
Stacks48
Followers125
Votes3

Metricbeat vs NetData: What are the differences?

# Introduction

Key differences between Metricbeat and NetData are outlined below:

1. **Data Collection Mechanism**: Metricbeat primarily focuses on collecting data from the operating system and services running on the system, utilizing various modules to collect metrics. In contrast, NetData collects data directly from the kernel, bypassing the need for additional agents or modules, leading to lower overhead and resource consumption.

2. **Scalability**: Metricbeat is suitable for large-scale environments where a lightweight solution is required for collecting and shipping metrics. It is designed to be highly scalable and can be deployed across thousands of servers efficiently. On the other hand, NetData is more suitable for smaller environments due to its direct kernel data collection approach, which may not scale as effectively in larger deployments.

3. **Visualization and Monitoring**: Metricbeat collects metrics and ships them to other tools like Elasticsearch or Logstash for further analysis and visualization. It is part of the Elastic Stack, offering robust visualization capabilities. In contrast, NetData provides real-time monitoring and visualization directly through its user interface, offering comprehensive insights into system performance without additional tools.

4. **Alerting Capabilities**: Metricbeat can be configured to send alerts based on predefined threshold values for specific metrics, allowing for proactive monitoring and issue resolution. On the other hand, NetData offers built-in alerting features that can be easily configured through its web interface, enabling real-time notifications for critical system events.

5. **Community Support and Ecosystem**: Metricbeat is part of the Elastic Stack, which comprises various tools for data collection, analysis, and visualization. As a result, Metricbeat benefits from a strong community and ecosystem of plugins and integrations. NetData, while popular for its real-time monitoring capabilities, may have a smaller ecosystem compared to Metricbeat.

6. **Maintenance and Updates**: Metricbeat, being a component of the Elastic Stack, follows the release schedule and updates of the stack as a whole. This ensures compatibility and support for the latest features and technologies within the Elastic ecosystem. NetData, as a standalone monitoring tool, may have a different update cycle, potentially requiring separate maintenance and monitoring for updates.

# Summary

In summary, Metricbeat offers a scalable and versatile metric collection solution integrated with the Elastic Stack, while NetData provides real-time monitoring directly from the kernel with lower overhead but may lack in scalability and ecosystem support compared to Metricbeat.

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Advice on Netdata, Metricbeat

Sunil
Sunil

Team Lead at XYZ

Jun 15, 2020

Needs adviceonPrometheusPrometheusGrafanaGrafanaLinuxLinux

Hi, We have a situation, where we are using Prometheus to get system metrics from PCF (Pivotal Cloud Foundry) platform. We send that as time-series data to Cortex via a Prometheus server and built a dashboard using Grafana. There is another pipeline where we need to read metrics from a Linux server using Metricbeat, CPU, memory, and Disk. That will be sent to Elasticsearch and Grafana will pull and show the data in a dashboard.

Is it OK to use Metricbeat for Linux server or can we use Prometheus?

What is the difference in system metrics sent by Metricbeat and Prometheus node exporters?

Regards, Sunil.

595k views595k
Comments

Detailed Comparison

Netdata
Netdata
Metricbeat
Metricbeat

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

Collect metrics from your systems and services. From CPU to memory, Redis to NGINX, and much more, It is a lightweight way to send system and service statistics.

Free, open-source; Easy installation and configuration; Access to monitoring unlimited metrics; Prebuilt dashboards and alarms; alerts on any metric, for a single host, an entire cluster, or your entire infrastructure; Tools for team collaboration; 800+ integrations
System-Level Monitoring; system-level CPU usage statistics; Network IO statistics
Statistics
Stacks
226
Stacks
48
Followers
392
Followers
125
Votes
82
Votes
3
Pros & Cons
Pros
  • 17
    Free
  • 14
    Easy setup
  • 12
    Graphs are interactive
  • 9
    Montiors datasbases
  • 9
    Well maintained on github
Pros
  • 2
    Simple
  • 1
    Easy to setup
Integrations
Puppet Labs
Puppet Labs
CouchDB
CouchDB
ActiveMQ
ActiveMQ
Logstash
Logstash
Fail2ban
Fail2ban
TimescaleDB
TimescaleDB
Windows
Windows
Grafana
Grafana
MongoDB
MongoDB
RabbitMQ
RabbitMQ
Redis
Redis
Linux
Linux
NGINX
NGINX
Windows
Windows

What are some alternatives to Netdata, Metricbeat?

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.

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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