Compare the Top Container Monitoring Software that integrates with Hadoop as of June 2025

This a list of Container Monitoring software that integrates with Hadoop. Use the filters on the left to add additional filters for products that have integrations with Hadoop. View the products that work with Hadoop in the table below.

What is Container Monitoring Software for Hadoop?

Container monitoring software tools enable IT teams to monitor container performance and uptime. Container monitoring software offers features such as event data collection, resourcing monitoring, proactive monitoring, reactive monitoring, adaptive monitoring, resource optimization, and more. Compare and read user reviews of the best Container Monitoring software for Hadoop currently available using the table below. This list is updated regularly.

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    Pandora FMS

    Pandora FMS

    Pandora FMS

    With more than 50,000 customer installations across the five continents, Pandora FMS is a truly all-in-one monitoring solution, covering all traditional silos for specific monitoring: servers, networks, applications, logs, synthetic/transactional, remote control, inventory, etc. Pandora FMS gives you the agility to find and solve problems quickly, scaling them so they can be derived from any source, on-premise, multi cloud or both of them mixed. Now you have that capability across your entire IT stack and analytics to find any problem, even the ones that are hard to find. Thanks to more than 500 plugins available, you can control and manage any application and technology, from SAP, Oracle, Lotus, Citrix or Jboss to VMware, AWS, SQL Server, Redhat, Websphere, etc.
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    Starting Price: €90/month
  • 2
    Prometheus

    Prometheus

    Prometheus

    Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.). Download: https://sourceforge.net/projects/prometheus.mirror/
    Starting Price: Free
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