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. Netdata vs OpenTelemetry

Netdata vs OpenTelemetry

OverviewComparisonAlternatives

Overview

Netdata
Netdata
Stacks226
Followers392
Votes82
OpenTelemetry
OpenTelemetry
Stacks203
Followers148
Votes4

Netdata vs OpenTelemetry: What are the differences?

Introduction

In this article, we will explore the key differences between Netdata and OpenTelemetry, two popular monitoring tools used in the field of software development. While both tools serve the purpose of monitoring various aspects of applications and systems, they have distinct features and functionalities. Let's dive into the differences between them.

  1. Architecture: The architecture of both Netdata and OpenTelemetry differs significantly. Netdata follows a decentralized architecture, where individual instances collect and analyze data in real-time. It does not require a centralized server or agent and can operate autonomously on each machine. On the other hand, OpenTelemetry follows a distributed architecture that leverages various agents and collectors to gather and export telemetry data to a centralized backend for analysis and visualization. This difference in architecture leads to variances in scalability, resource utilization, and ease of setup.

  2. Supported Environments: Netdata is primarily designed for monitoring Linux-based systems, providing extensive support for metrics related to CPU, memory, disk usage, network traffic, and more. It excels in collecting a wide range of detailed metrics from Linux machines. In contrast, OpenTelemetry is a more versatile monitoring solution that supports multiple programming languages and various environments, including different operating systems, cloud platforms, and containers. It offers a unified approach to instrumentation and observability across diverse application landscapes.

  3. Data Collection and Visualization: Netdata emphasizes real-time monitoring, providing a highly dynamic and interactive dashboard that displays metrics with minimal delay. It offers various visualizations, such as charts and graphs, coupled with real-time alarms and notifications. OpenTelemetry, on the other hand, focuses on collecting raw telemetry data using flexible instrumentation libraries. It provides a comprehensive set of APIs and SDKs that developers can utilize to capture custom metrics and traces within their applications. The collected telemetry data is then passed to a backend for long-term storage and analysis.

  4. Community and Ecosystem: Netdata has a vibrant and active community that continuously contributes to its development and supports users through forums and open-source collaboration. It offers a collection of pre-built plugins and integrations, along with an open API for custom extensions. OpenTelemetry, being an open-source project maintained by the Cloud Native Computing Foundation (CNCF), also has a growing community and broad ecosystem. It benefits from the collective efforts of industry-leading companies and developers, resulting in a wide range of integrations, instrumentations, and exporters.

  5. Interoperability and Integration: Netdata provides native data export options to popular monitoring solutions like Prometheus, Graphite, and others. Its open API enables integration with external tools for data analysis and visualization. OpenTelemetry, as a vendor-neutral project, supports interoperability by offering instrumentations and exporters for numerous observability tools and backends. It allows seamless integration with leading monitoring and tracing platforms, facilitating a comprehensive observability stack.

  6. Maturity and Adoption: Netdata has been actively developed since 2015 and has gained significant adoption within the Linux monitoring community. It has proven its reliability, performance, and usability over the years, making it a mature monitoring tool. OpenTelemetry, although relatively newer in comparison, has gained substantial momentum in the industry due to its flexible architecture, wide language support, and strong backing from major organizations. Its rapid growth indicates its potential to become a standard for observability in modern software systems.

In summary, Netdata and OpenTelemetry differ in their architecture, supported environments, data collection and visualization approaches, community involvement, interoperability options, and maturity. While Netdata excels in real-time monitoring of Linux systems, OpenTelemetry offers a more versatile and distributed approach to instrumentation and observability, making it suitable for diverse application landscapes.

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

Detailed Comparison

Netdata
Netdata
OpenTelemetry
OpenTelemetry

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

It provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools.

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
-
Statistics
Stacks
226
Stacks
203
Followers
392
Followers
148
Votes
82
Votes
4
Pros & Cons
Pros
  • 17
    Free
  • 14
    Easy setup
  • 12
    Graphs are interactive
  • 9
    Montiors datasbases
  • 9
    Well maintained on github
Pros
  • 4
    OSS
Integrations
Puppet Labs
Puppet Labs
CouchDB
CouchDB
ActiveMQ
ActiveMQ
Logstash
Logstash
Fail2ban
Fail2ban
TimescaleDB
TimescaleDB
Windows
Windows
Grafana
Grafana
MongoDB
MongoDB
RabbitMQ
RabbitMQ
No integrations available

What are some alternatives to Netdata, OpenTelemetry?

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

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