Alternatives to Netdata logo

Alternatives to Netdata

Grafana, Prometheus, Zabbix, Nagios, and Munin are the most popular alternatives and competitors to Netdata.
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What is Netdata and what are its top alternatives?

Netdata democratizes monitoring, empowering IT teams to know more about their infrastructure, enabling them to quickly identify and troubleshoot issues, collaborate to solve problems, and make data-driven decisions to move business forward.
Netdata is a tool in the Monitoring Tools category of a tech stack.
Netdata is an open source tool with 56.7K GitHub stars and 5.1K GitHub forks. Here’s a link to Netdata's open source repository on GitHub

Top Alternatives to Netdata

  • 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. ...

  • 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. ...

  • Zabbix

    Zabbix

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

  • Nagios

    Nagios

    Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License. ...

  • Munin

    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

    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. ...

  • Graphite

    Graphite

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

  • Telegraf

    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. ...

Netdata alternatives & related posts

Grafana logo

Grafana

10.8K
8.5K
398
Open source Graphite & InfluxDB Dashboard and Graph Editor
10.8K
8.5K
+ 1
398
PROS OF GRAFANA
  • 84
    Beautiful
  • 67
    Graphs are interactive
  • 56
    Free
  • 55
    Easy
  • 33
    Nicer than the Graphite web interface
  • 24
    Many integrations
  • 16
    Can build dashboards
  • 10
    Easy to specify time window
  • 9
    Dashboards contain number tiles
  • 8
    Can collaborate on dashboards
  • 5
    Integration with InfluxDB
  • 5
    Click and drag to zoom in
  • 5
    Open Source
  • 4
    Authentification and users management
  • 4
    Threshold limits in graphs
  • 3
    It is open to cloud watch and many database
  • 2
    You can visualize real time data to put alerts
  • 2
    Great community support
  • 2
    Alerts
  • 2
    Simple and native support to Prometheus
  • 2
    You can use this for development to check memcache
  • 0
    Plugin visualizationa
  • 0
    Grapsh as code
CONS OF GRAFANA
    Be the first to leave a con

    related Grafana posts

    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 14 upvotes · 2.9M views

    Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

    By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

    To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

    https://eng.uber.com/m3/

    (GitHub : https://github.com/m3db/m3)

    See more
    Matt Menzenski
    Senior Software Engineering Manager at PayIt · | 12 upvotes · 77.2K views

    Grafana and Prometheus together, running on Kubernetes , is a powerful combination. These tools are cloud-native and offer a large community and easy integrations. At PayIt we're using exporting Java application metrics using a Dropwizard metrics exporter, and our Node.js services now use the prom-client npm library to serve metrics.

    See more
    Prometheus logo

    Prometheus

    2.5K
    2.9K
    235
    An open-source service monitoring system and time series database, developed by SoundCloud
    2.5K
    2.9K
    + 1
    235
    PROS OF PROMETHEUS
    • 45
      Powerful easy to use monitoring
    • 38
      Flexible query language
    • 32
      Dimensional data model
    • 27
      Alerts
    • 22
      Active and responsive community
    • 21
      Extensive integrations
    • 19
      Easy to setup
    • 12
      Beautiful Model and Query language
    • 7
      Easy to extend
    • 6
      Nice
    • 3
      Written in Go
    • 2
      Good for experimentation
    • 1
      Easy for monitoring
    CONS OF PROMETHEUS
    • 11
      Just for metrics
    • 6
      Needs monitoring to access metrics endpoints
    • 6
      Bad UI
    • 3
      Not easy to configure and use
    • 2
      Requires multiple applications and tools
    • 2
      Written in Go
    • 2
      Supports only active agents
    • 1
      TLS is quite difficult to understand

    related Prometheus posts

    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 14 upvotes · 2.9M views

    Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

    By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

    To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

    https://eng.uber.com/m3/

    (GitHub : https://github.com/m3db/m3)

    See more
    Matt Menzenski
    Senior Software Engineering Manager at PayIt · | 12 upvotes · 77.2K views

    Grafana and Prometheus together, running on Kubernetes , is a powerful combination. These tools are cloud-native and offer a large community and easy integrations. At PayIt we're using exporting Java application metrics using a Dropwizard metrics exporter, and our Node.js services now use the prom-client npm library to serve metrics.

    See more
    Zabbix logo

    Zabbix

    527
    749
    58
    Track, record, alert and visualize performance and availability of IT resources
    527
    749
    + 1
    58
    PROS OF ZABBIX
    • 16
      Free
    • 7
      Alerts
    • 5
      Service/node/network discovery
    • 4
      Base metrics from the box
    • 4
      Templates
    • 3
      Multi-dashboards
    • 3
      SMS/Email/Messenger alerts
    • 2
      Support proxies (for monitoring remote branches)
    • 2
      Supports Graphs ans screens
    • 2
      Grafana plugin available
    • 1
      Perform website checking (response time, loading, ...)
    • 1
      Supports large variety of Operating Systems
    • 1
      Supports JMX (Java, Tomcat, Jboss, ...)
    • 1
      Open source
    • 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
    CONS OF ZABBIX
    • 5
      The UI is in PHP
    • 2
      Puppet module is sluggish

    related Zabbix posts

    Shared insights
    on
    DatadogDatadogZabbixZabbixCentreonCentreon

    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!

    See more
    Nagios logo

    Nagios

    772
    903
    102
    Complete monitoring and alerting for servers, switches, applications, and services
    772
    903
    + 1
    102
    PROS OF NAGIOS
    • 53
      It just works
    • 28
      The standard
    • 12
      Customizable
    • 8
      The Most flexible monitoring system
    • 1
      Huge stack of free checks/plugins to choose from
    CONS OF NAGIOS
      Be the first to leave a con

      related Nagios posts

      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 14 upvotes · 2.9M views

      Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

      By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

      To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

      https://eng.uber.com/m3/

      (GitHub : https://github.com/m3db/m3)

      See more
      Munin logo

      Munin

      67
      82
      10
      PnP networked resource monitoring tool that can help to answer the what just happened to kill our performance
      67
      82
      + 1
      10
      PROS OF MUNIN
      • 3
        Good defaults
      • 2
        Extremely fast to install
      • 2
        Alerts can trigger any command line program
      • 2
        Adheres to traditional Linux standards
      • 1
        Easy to write custom plugins
      CONS OF MUNIN
        Be the first to leave a con

        related Munin posts

        ELK logo

        ELK

        676
        667
        20
        The acronym for three open source projects: Elasticsearch, Logstash, and Kibana
        676
        667
        + 1
        20
        PROS OF ELK
        • 13
          Open source
        • 3
          Good for startups with monetary limitations
        • 2
          Can run locally
        • 1
          Easy to setup
        • 1
          External Network Goes Down You Aren't Without Logging
        • 0
          Json log supprt
        • 0
          Live logging
        CONS OF ELK
        • 4
          Elastic Search is a resource hog
        • 3
          Logstash configuration is a pain
        • 1
          Bad for startups with personal limitations

        related ELK posts

        Wallace Alves
        Cyber Security Analyst · | 1 upvote · 583.1K views

        Docker Docker Compose Portainer ELK Elasticsearch Kibana Logstash nginx

        See more
        Graphite logo

        Graphite

        363
        368
        39
        A highly scalable real-time graphing system
        363
        368
        + 1
        39
        PROS OF GRAPHITE
        • 16
          Render any graph
        • 9
          Great functions to apply on timeseries
        • 7
          Well supported integrations
        • 5
          Includes event tracking
        • 2
          Rolling aggregation makes storage managable
        CONS OF GRAPHITE
          Be the first to leave a con

          related Graphite posts

          Conor Myhrvold
          Tech Brand Mgr, Office of CTO at Uber · | 14 upvotes · 2.9M views

          Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

          By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

          To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

          https://eng.uber.com/m3/

          (GitHub : https://github.com/m3db/m3)

          See more

          A huge part of our continuous deployment practices is to have granular alerting and monitoring across the platform. To do this, we run Sentry on-premise, inside our VPCs, for our event alerting, and we run an awesome observability and monitoring system consisting of StatsD, Graphite and Grafana. We have dashboards using this system to monitor our core subsystems so that we can know the health of any given subsystem at any moment. This system ties into our PagerDuty rotation, as well as alerts from some of our Amazon CloudWatch alarms (we’re looking to migrate all of these to our internal monitoring system soon).

          See more
          Telegraf logo

          Telegraf

          192
          217
          15
          The plugin-driven server agent for collecting & reporting metrics
          192
          217
          + 1
          15
          PROS OF TELEGRAF
          • 5
            Cohesioned stack for monitoring
          • 4
            One agent can work as multiple exporter with min hndlng
          • 2
            Open Source
          • 2
            Metrics
          • 1
            Supports custom plugins in any language
          • 1
            Many hundreds of plugins
          CONS OF TELEGRAF
            Be the first to leave a con

            related Telegraf posts