Compare the Top Telemetry Software that integrates with Hadoop as of October 2025

This a list of Telemetry 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 Telemetry Software for Hadoop?

Telemetry software is designed to collect, transmit, and analyze data from remote or distributed systems in real time. It allows organizations to monitor the performance, health, and behavior of various devices, machines, or applications from a central location. The software gathers data such as system metrics, error logs, or user interactions, and sends it to a centralized database or server for analysis. This data is then used to identify issues, optimize performance, or predict future problems. Telemetry software is widely used in industries like aerospace, automotive, telecommunications, and IT infrastructure for proactive maintenance and decision-making. Compare and read user reviews of the best Telemetry software for Hadoop currently available using the table below. This list is updated regularly.

  • 1
    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
  • 2
    Elastic Observability
    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
  • 3
    PacketRanger
    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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