Best Application Performance Monitoring (APM) Software for Hadoop

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Compare the Top Application Performance Monitoring (APM) Software that integrates with Hadoop as of June 2025

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This a list of Application Performance Monitoring (APM) 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 Application Performance Monitoring (APM) Software for Hadoop?

Application performance monitoring (APM) software, also known as application performance management software, is designed to help organizations track and optimize the performance of their critical applications. Through advanced monitoring and analytics tools, APM software allows teams to identify and resolve performance issues in real-time, ensuring that applications are fast, stable, and reliable. By providing in-depth insights into application performance and user experience, APM software helps organizations deliver a superior customer experience and improve the overall performance of their applications. Compare and read user reviews of the best Application Performance Monitoring (APM) software for Hadoop currently available using the table below. This list is updated regularly.

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    Unravel

    Unravel

    Unravel Data

    Unravel makes data work anywhere: on Azure, AWS, GCP or in your own data center– Optimizing performance, automating troubleshooting and keeping costs in check. Unravel helps you monitor, manage, and improve your data pipelines in the cloud and on-premises – to drive more reliable performance in the applications that power your business. Get a unified view of your entire data stack. Unravel collects performance data from every platform, system, and application on any cloud then uses agentless technologies and machine learning to model your data pipelines from end to end. Explore, correlate, and analyze everything in your modern data and cloud environment. Unravel’s data model reveals dependencies, issues, and opportunities, how apps and resources are being used, what’s working and what’s not. Don’t just monitor performance – quickly troubleshoot and rapidly remediate issues. Leverage AI-powered recommendations to automate performance improvements, lower costs, and prepare.
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