Best Network Management Software for Hadoop

Compare the Top Network Management Software that integrates with Hadoop as of June 2025

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This a list of Network Management 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 Network Management Software for Hadoop?

Network management software is software used by organizations to monitor and control their computer networks. It collects data on network performance, identifies potential issues, and allows for remote management of devices. This software often includes features such as network mapping, traffic analysis, and security monitoring. It can be used to optimize network performance, troubleshoot problems, and reduce downtime. Many options are available on the market today from various vendors with varying levels of complexity and functionality. Compare and read user reviews of the best Network Management software for Hadoop currently available using the table below. This list is updated regularly.

1

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.

27 Ratings

Starting Price: €90/month

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2

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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3

Elastic Observability

Elastic

Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.

Starting Price: $16 per month

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4

PacketRanger

Tavve

PacketRanger is a web-based SaaS platform that effortlessly builds and manages telemetry pipelines across the entire IT landscape by inspecting, filtering, replicating, and routing data from any source to an unlimited number of destination consumers. It enables rapid construction of pipelines that eliminate noise, establishes volumetric baselines with customizable threshold notifications, and provides rich visualizations to pinpoint low- and high-value data as well as network issues and misconfigurations. Designed for NetFlow, it moderates congestion, optimizes flow-based licensing, reduces duplicate UDP datagrams, supports all NetFlow/IPFIX versions, offers over 400 predefined and custom filter templates, mitigates packet loss, and overcomes exporter limitations. For Syslog, it ensures balanced event distribution, simple keyword and regular-expression filtering, TCP/TLS support, automatic message parsing without manual grok patterns, and the ability to transform logs into SNMP traps.

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