Go back to all articles

Top 7 Application Performance Monitoring Tools in 2025: Detailed Comparison

Sep 15, 2025
4 min read
author volha

Volha Shchayuk

Author

Volha Shchayuk

Volha is a seasoned IT researcher and copywriter, passionate about AI, QA, and testing. She turns technicalities into engaging articles, helping you discover and easily grasp the latest IT concepts and trends.

IT researcher

Reviewed by Boris Seleznev

boris author

Reviewed by

Boris Seleznev

Boris Seleznev is a seasoned performance engineer with over 10 years of experience in the field. Throughout his career, he has successfully delivered more than 200 load testing projects, both as an engineer and in managerial roles. Currently, Boris serves as the Professional Services Director at PFLB, where he leads a team of 150 skilled performance engineers.

Application performance monitoring (APM) tools have been created to control and handle the operation of different software solutions. They gather company-wide information, track important metrics — such as system response times, availability, and user interactions — and provide immediate insights into application inefficiencies. The business benefits of these instruments include quicker and more efficient operations, positive user experiences, zero downtime, a smarter usage of resources, and lower costs. Still, the question is: out of a pool of equivalents, which application performance monitoring tool should a particular company choose?

This article has you covered: we explore seven prominent APM tools, providing an exhaustive comparison of their features, advantages, and drawbacks, so you can confidently select an appropriate tool.

Key Takeaways

  • Learn the top seven application performance monitoring tools popular in 2025
  • Get insights into the key features of each solution
  • Discover the advantages and drawbacks of the tools in question
  • Explore a concise yet informative application performance monitoring tools comparison

Top APM tools to Opt for in 2025

To help you handpick the best APM solution for your business ecosystem, we have shortlisted the following instruments:

New Relic

Source: https://newrelic.com/blog/best-practices/how-to-monitor-with-apm

Source: https://newrelic.com/blog/best-practices/how-to-monitor-with-apm

New Relic is one of the most renowned observability platforms out there in 2025. It ensures complete visibility not only into the technical logic and the presentation layer of your application but also into your entire IT infrastructure with servers, information systems, networks, and other components. What’s more, this tool supports languages like Java, .NET, Python, PHP, and Ruby and offers over 780 integrations with cloud providers, ML and GenAI models, security services, and more.

Key features: 

  • Full-stack application observability and infrastructure monitoring
  • Architecture that scales with your technical and business demands
  • Log management of on-premises and cloud data
  • A developer collaboration tool, CodeStream, that connects directly to IDEs
  • Error tracking that aggregates all system mistakes in a centralized place
  • Interactive dashboards for reports, data visualization, and real-time insights

Advantages:

  • A user-friendly, intuitive interface
  • 50% reduction in reported DevOps issues
  • Faster page loads boosting conversions and reducing abandoned carts
  • Fewer system performance errors
  • Subscriber attrition rates reduced by 50%
  • Better mobile application star ratings, increasing overall downloads
  • Supported compliance with GDPR, CCPA, and HIPAA

Drawbacks:

  • Can be costly for smaller businesses and/or when scaling
  • A steep learning curve when it comes to using advanced features
  • 780+ integrations can be potentially challenging to implement and manage

CloudWatch

Source: https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/GettingStarted.html

Source: https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/GettingStarted.html

Popular application performance monitoring software in 2025 includes CloudWatch, an instrument introduced by AWS. A tool like this simplifies the process of collecting metrics, logs, events, and other data from on-premises setups, cloud environments, and applications built using various AWS services. CloudWatch offers end-to-end visibility into the current performance of applications, allowing business stakeholders to gain deeper insights into their operational health and system reliability. 

Key features:

  • GenAI observability that involves tracking relevant knowledge bases, models, and agentic systems
  • Intelligent operations powered by AI/ML for monitoring infrastructure components and expediting operational troubleshooting 
  • Application control for better visibility into system-wide performance, end user experiences, and mean time to resolution (MTTR)
  • Network monitoring that visualizes related information, quickly flags problems, and identifies the root causes of existing issues
  • Dashboards, telemetry, and alarms for near real-time insights, proactive control, and faster resolution of all incidents

Advantages:

  • Comes at a free tier, making it affordable for businesses of all sizes
  • Flexible pricing once the free tier limit has been exceeded
  • Highly customizable dashboards 
  • Perfect integration with native AWS services like Lambda, S3, or EC2 and some other third-party tools, such as Grafana
  • Ensures compliance with FedRamp, SOC, HIPAA, PCI DSS, and other regulations

Drawbacks:

  • Can be difficult to install and configure, especially when it comes to large and complex infrastructures
  • Incompatible with many external, non-native services and tools

Dynatrace

Source: https://www.dynatrace.com/solutions/cloud-native-application-monitoring/

Source: https://www.dynatrace.com/solutions/cloud-native-application-monitoring/

The Dynatrace AI-powered observability platform has earned the status of the best APM tool according to Gartner, thanks to its monitoring capabilities across various applications and on-premises, cloud, and hybrid infrastructures. Whether you need to keep tabs on server or network performance, user interactions, security, containers, or microservices, this instrument will handle the task aptly. By supporting over 715 technologies, including cloud solutions, databases, and web services, Dynatrace ensures a rigorous and effective control over all your systems 24/7.

Key features:

  • Full-stack observability of applications, dependencies, and infrastructure
  • Business monitoring powered by AI and analytics for smarter decisions 
  • Threat observability that triggers automated responses to cyberattacks in real time
  • Log analytics for better issue troubleshooting and business operations
  • Application security for all-around protection against vulnerabilities
  • Seamless digital experiences for users thanks to synthetic monitoring and session records

Advantages:

  • Easy to set up and configure
  • A special Davis AI tool that offers precise answers and recommendations
  • Better user experiences and conversion rates
  • Anticipation of incidents and prompt issue resolution

Drawbacks:

  • A steep learning curve
  • A user interface can be difficult to navigate for novices

AppDynamics

Source: https://docs.appdynamics.com/appd/24.x/latest/en/end-user-monitoring/browser-monitoring/browser-real-user-monitoring/overview-of-the-controller-ui-for-browser-rum

Source: https://docs.appdynamics.com/appd/24.x/latest/en/end-user-monitoring/browser-monitoring/browser-real-user-monitoring/overview-of-the-controller-ui-for-browser-rum

AppDynamics can’t be excluded from our concise and up-to-date APM tools list. This platform, offered by Splunk, provides full-stack observability into on-premises and hybrid application performance, connecting the obtained metrics to your specific business outcomes. With this tool, you can go much beyond tracking your current systems — you can see how emerging issues affect your users and customers, conversions, and revenue pipelines and timely take preventive measures.

Key features:

  • Analytics of business metrics like conversion rates
  • Anomaly detection and root cause analysis through AI and ML algorithms
  • GenAI and LLM performance and compliance monitoring
  • Full-context infrastructure overseeing
  • Business transaction tracking, including logins and checkout processes
  • A flexible process of data collection using OpenTelemetry

Advantages:

  • An easily navigable user interface
  • Easy to use
  • Versatile features
  • Highly customizable dashboards
  • Reliance on AI technologies for a quicker resolution of incidents
  • Focus on improving business performance through early issue identification

Drawbacks:

  • High costs even for large organizations
  • Inefficient alert systems with postponed support and the necessity for manual input
  • Ongoing issues with the necessary updates
  • Administrator limitations restricting access to certain features and functions
End-to-end performance testing slashes APM costs.
Try PFLB today to see the difference!

DataDog

Source: https://docs.datadoghq.com/tracing/

Source: https://docs.datadoghq.com/tracing/

The 2025 APM tools comparison would be incomplete without DataDog — a reliable monitoring and security platform for applications and IT infrastructure of any scale. This instrument doesn’t just track issues related to your system’s brains and looks — it’s applied throughout the development life cycle, from software engineering to testing and debugging. Complemented by custom performance testing services, DataDog can become your true ally for faster, error-free, and more appealing solutions.

Key features:

  • Complete visibility into infrastructure, network, application, and serverless application ecosystems
  • Log management for quick and effective troubleshooting
  • Real-time security tracking
  • Synthetic monitoring for simulating user interactions and fixing arising issues
  • Insights into user journeys and front-end performance

Advantages:

  • A user-friendly interface that delivers holistic digital experiences across systems
  • Seamless integration with third-party tools
  • Effective alert systems
  • Quick and reliable incident troubleshooting

Drawbacks:

  • A steep learning curve for novices
  • Expensive for large deployments
  • Customization limitations
  • Insufficient documentation

Grafana Cloud

Source: https://grafana.com/products/cloud/features/

Source: https://grafana.com/products/cloud/features/

Grafana Cloud is a SaaS, fully managed monitoring and observability solution ideal for cloud-native settings. Built on top of open-source Grafana Labs’ software, such as Mimir for metrics, Tempo for tracing, and Loki for collecting logs, this instrument eliminates the need to build, maintain, and scale your own infrastructure. It also connects to over 100 external data sources, including Elasticsearch, Prometheus, and Oracle Database, visualizing information from various systems into a single, unified dashboard.

Key features: 

  • Comprehensive observability of cloud and hybrid environments
  • 50 turnkey infrastructure integrations
  • Support for Grafana Labs’ software, including Mimir, Loki, Tempo, and Alloy for telemetry data management 
  • Unlimited and customizable dashboards
  • Integration with Grafana k6 for performance and load testing 
  • Proactive alerting systems and notifications that accelerate reactions to incidents
  • Cloud administration and built-in security powered by AI 

Advantages:

  • Open-source and cost-efficient when it comes to pro and enterprise plans
  • Strong data visualization through a unified cloud platform
  • 24/7/365 customer support
  • Scales as your demand increases
  • Active community support

Drawbacks:

  • A steep learning curve that requires specialized technical expertise
  • Potential integration and compatibility problems
  • A user interface can be cumbersome for certain activities 
  • Third-party dependencies

IBM Instana

best apm tools ibm instana

Among tools for APM that are gaining traction in 2025, you’ll encounter IBM Instana. This platform resolves occurring incidents in your full-stack applications 80% faster and supports over 300 out-of-the-box technologies and integrations for this, including Google, AWS, Oracle, Cloud Foundry, and proprietary solutions. Once this tool has detected a problem, it immediately checks KPIs like latency and sends real-time notifications on their status. This ensures your systems run consistently without disruptions to your business operations.

Key features: 

  • End-to-end observability of applications and infrastructures powered by AI agents
  • Cloud-native optimization that speeds up change management 
  • AI-supported root-cause analysis of incidents
  • Digital experience monitoring across all user endpoints
  • GenAI incorporation for performance tracking and issue resolution
  • Business activity monitoring in real time

Advantages:

  • Robust automation features powered by AI technologies
  • Rapid MTTR, reducing downtime and preventing revenue losses
  • Complete visibility into current business processes
  • Better-guided business and operational decisions 
  • Responsive customer support

Drawbacks:

  • A steep learning curve
  • High costs, especially for startups and small firms
  • Not a friendly user interface
  • A lack of some features like customizable alerts

Best APM tools: Comparison Table

Next, we provide a comprehensive application performance monitoring tools comparison based on criteria, such as the complexity of interfaces, supported hosting models, user transaction tracking, data centralization, and customer support:

In synergy with load testing for web applications or other platforms, these seven APM tools help stakeholders better understand the behavior of their solutions under high loads, quickly identify and fix bottlenecks, and deliver seamless performance around the clock.

Final Thoughts

The list of the best application performance monitoring tools in 2025 can be endless and extend far beyond New Relic, CloudWatch, DataDog, Grafana Cloud, and other counterparts. One thing is certain: even the best APM software can be backed with custom performance and load testing services. A rigorously tested and debugged solution complemented by the APM instruments discussed in this article will perform consistently under varying conditions, no matter the traffic and the complexity of user journeys.

Looking for a Load Testing Tool?

Table of contents

    Related insights in blog articles

    Explore what we’ve learned from these experiences
    5 min read

    Swagger API Testing: What It Is, How It Works, and Best Practices for QA Teams

    swagger api testing preview
    Oct 28, 2025

    Testing APIs without proper documentation can feel like walking through fog — every endpoint is a guess, every parameter a risk. But not with Swagger UI API testing. Swagger turns static API definitions into a live, interactive interface where developers and QA teams can validate endpoints, check request/response schemas, and explore the system in real […]

    6 min read

    BlazeMeter vs. JMeter: Full Comparison

    blazemeter jmeter comparison
    Oct 24, 2025

    Ever wondered whether you should stick with Apache JMeter or move your tests to BlazeMeter? Both tools are powerhouses in performance and load testing, but they serve different needs. JMeter is an open-source desktop tool under the Apache 2.0 license; ideal for local or distributed testing across HTTP, APIs, JDBC, and more. BlazeMeter, on the […]

    9 min read

    Endurance Testing: What It Is, Types & Examples

    endurance testing preview
    Oct 22, 2025

    When performance engineers talk about endurance testing, they usually mean soak testing — a long-duration performance test that keeps the system under a steady, realistic workload for hours or even days. It’s designed to uncover what short stress or load tests can’t: slow memory leaks, growing queues, or throughput that quietly drops overnight. By tracking […]

    12 min read

    Top 5 AI Load Testing Tools in 2025: Smarter Ways to Test Performance

    ai load testing tools preview
    Oct 17, 2025

    AI is quickly becoming the most overused promise in software testing — every platform now claims it, but few can prove it.Some “AI load testing tools” genuinely analyze data, learn from patterns, and generate meaningful insights. Others stop at fancy dashboards and static scripts dressed in new terminology. In this comparison, we’ll separate real machine […]

  • Be the first one to know

    We’ll send you a monthly e-mail with all the useful insights that we will have found and analyzed