10 Best Performance Testing Tools Of 2022


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Performance testing is a non-functional test type that is performed to assess how under load an application can work. The experiments are carried out on metrics such as velocity, stability, and scalability. A broad range of assessments can be performed by the right client side performance testing providers.

Performance Testing Tools List 

The top 10 performance testing tools and main features commonly used by performance testing providers in 2022 are as following:


LoadNinja enables you to create tests for scriptless loading. It is favored by performance monitoring providers as it helps to halve testing times. The replacement of load emulators with real browsers and the generation of actionable metrics are other benefits.

This tool helps you to debug, document client-side performance, quickly detect performance problems and do much more in real-time. Without sacrificing on consistency, LoadNinja enables you to improve your testing coverage. It eliminates cumbersome, repetitive jobs, complex correlation, and script scrubbing that is involved in script translation. This helps you to spend more time designing scalable software and less time writing scripts for load monitoring.

LoadNinja’s main features are as follows:

  1. Checking the actual browser load at scale
  2. Develop a scriptless load test and playback function
  3. Real-time virtual user task monitoring
  4. Error checking for real-time experiments
  5. Browser-based predictive metrics with reporting and analytics functions
  6. Cloud-based hosting reduces server maintenance.

The following web performance testing tools are provided by LoadNinja:

  2. Protocol based on Java
  3. Web with SAP Interface
  4. Web Toolkit for Google


For functional test services, LoadView is also widely common. This is an on-demand and fully-managed instrument for load testing and stress testing. It is distinctive in that testing is done in actual browsers from most other load testing tools. Near emulation of actual users and highly detailed data is the result. It is completely cloud-based and within minutes it is quickly deployed. This allows multi-step scripts to be generated that simulate user interaction with your application or website.

Some of LoadView’s main features are as follows:

  1. Supports advanced load testing features such as cloud-based global infrastructure, scripting point and click, and testing of real browsers
  2. Enables the development of test scripts instantly and easily without the need for coding
  3. Supports web applications such as, among others, Java, Flash, HTML5, Ruby, Silverlight, and PHMP
  4. The Google Cloud Platform and Amazon Web Services help over a dozen global cloud locations.

Apache JMeter

JMeter is a common testing tool for open source performance developed for load and performance testing. It can be used to evaluate and calculate the performance of a broad range of applications, including network and server services. For various types of web server applications, it is often used as a website load testing tool.

The following are some of the main characteristics:

  1. Supports multiple injectors of load that can be operated by a single controller
  2. Doesn’t need advanced load testing infrastructure for
  3. Compared to other API performance testing tools, it needs less scripting effort because it has a user-friendly GUI.
  4. Supports all software based on Java.


The recommended choice for performance testing providers that want to fix JMeter’s disadvantages is smartMeter.io. With its Recorder, the tool promotes the implementation of a simple scriptless test environment. It generates test reports and has features including automated evaluation of test parameters and trend and comparison analysis of test runs.

For CI / CD integration, the tool provides complete support. The following are its main characteristics:

  1. Creating a test environment that is scriptless
  2. The extractor of advanced answer body
  3. Results in real-time and GUI test runs
  4. Comprehensive comparisons of documentation, automated evaluation, and test execution
  5. Supports integration with CI / CDs

Tester for Rational Performance

IBM’s Logical Performance Tester is intended for designing and running performance tests. It is an important analysis method as well. Until they are deployed, the tool helps you to check the reliability and scalability of web-based applications. This is a test automation platform for efficiency that produces a demo of the transaction between both the web service and the customer.

The following are some of the main characteristics of this tool:

  1. Supports planned and event-based research
  2. Supports testing for scriptless
  3. Runs big tests involving different users
  4. Supports real-time reporting that allows detection of instant performance problems


It is an enterprise-scale workload analysis tool that, even in the most complex systems, can produce real-life and accurate load scenarios. In-depth performance insights are provided by its smart analytics. Built-in support for hundreds of innovations comes with the tool. To support easier tracking, it also integrates with many web performance testing tools.

The following are the main features of this performance testing tool:

  1. On the Cloud or as an on-site implementation, it is available
  2. All major web technologies are readily expandable and funded.
  3. Creates a flexible atmosphere for tests
  4. Centered on smart scripting with validation engines, parameterization, and Strong correlation, native JavaScript
  5. Automatically identifying bottlenecks


NeoLoad is a revolutionary tool for performance testing intended for Agile and DevOps teams to automate test design, monitoring, and review. To support performance testing, it interfaces with continuous deployment pipelines.


  1. Automation testing tools for web application design to enable faster development of tests
  2. Implementation for automated test runtime with CI servers
  3. Registered test scripts and reports are included.

Silk Performer

Silk Performer is an enterprise-class workload and stress testing platform and has the potential to test thousands of active users in various application environments. The broad variety of protocols is also supported.


  1. The hardware requirements resources are needed
  2. Simulates virtual users that are modifiable
  3. Promotes integrated control on servers
  4. Customer-friendly licensing has this
  5. User-friendly Comparison and matrix multiplication


AppLoader is a tool for load testing developed for company applications. It enables you to test any program from all your access points by procreating the same user interface.


  1. AppLoader helps you to test the entire company flow
  2. This simulates user experiences with your program.
  3. Scripts are typically created when you’re using the application


StresStimulus is common with performance testing providers because it is capable of managing situations that might be difficult to evaluate with other methods. Works by automatically fixing playback errors using its unique autocorrelation function. The tool tracks user behaviours before replaying them to emulate evolving patterns of usage. It also monitors the load effect on the responsiveness of the applications and the server infrastructure. It can also detect secret concurrency errors and provide in-depth errors.

The main features of this output test tool are as follows:

  1. Cloud or on-site testing using multiple load generators
  2. The End-to-End Test Wizard eliminates the learning curve by covering all stages.
  3. Manual scripting option is open but is not needed. The tool supports up to three scripting languages.
  4. Allows the script to export to the Visual Studio test format
  5. Can be used as an add-on to the Fiddler or as an independent tool

These are the best methods commonly used for performance testing services. When it comes to selecting from these resources, you can weigh a variety of factors. This involves protocol support and licensing costs that you need. The hardware and software specifications of the tool should also be addressed. It is also important to consider help for the provider of tools. It would also be important to consider the cost of training your teams.

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