Blog TOC Banner

Top 15 Best Performance Testing Tools For Your Team



Having a software that works is one thing, having it works optimally is another. This is where performance testing comes in and fills the gap of functional testing. Performance testing is there to check if a website or software is still working at expected performance under various environment conditions, and to do that, we need performance testing tools.

In this article, we will list out the top 15 performance testing tools, their strengths, weaknesses, as well as pricing points for your team to consider. Make sure to make a decision coming from specific testing needs and resources of your team.

What is Performance Testing?

Performance testing is a type of software testing that evaluates the responsiveness, speed, scalability, stability, and overall performance of an application under certain conditions. 

The primary goal of performance testing is to ensure that the software or system performs well and meets specific performance benchmarks, especially when subjected to either expected or unexpected loads.

What are Performance Testing Tools?

Performance testing tools are applications designed to facilitate the planning, execution, management, monitoring, reporting, and analysis of performance tests for software systems, applications, and websites.

How Does Performance Testing Tools Work?

Most performance testing tools have 3 major capabilities:

  1. Simulate load conditions of the System Under Test (SUT)
  2. Monitor system behavior
  3. Analyze performance metrics to make recommendations

Performance testing tools generally differ in their scope, but they all come with features to support testers across the performance testing life cycle, starting from:

  1. Test Scenarios Creation: during this stage, testers define a specific performance benchmark to compare the actual performance against. This is usually also the test objectives outlined in the test plan.
  2. Environment Configuration: this is a particularly essential part of any performance testing sessions, where testers specify the target application or system to be tested, define test data, set up user profiles, and configure load distribution.
  3. Test Execution: here the performance testing tool generates virtual users that simulate real users interacting with the application. These virtual users generate traffic by sending requests to the target system, then the tool distributes the load according to the defined test scenarios.
  4. Monitoring: finally, the tool continuously monitors the predetermined test metrics (some tools even collect server-side metrics), and generates reports for the team to gain insights into the system’s performance. After that, testers take on the responsibility of root cause analysis and documentation.

Why Do We Need Performance Testing?

An interesting illustration for the importance of performance testing is the incident involving the U.S. government healthcare website's catastrophic failure.

On October 1, 2013, was launched to the public, but shortly after its release, numerous users encountered crashes, delays, errors, and sluggish performance. Despite receiving over 4 million unique visitors on its first day, only six individuals managed to successfully enroll in health plans due to the site's numerous bugs. Even those who completed registration and shopped online were met with frustrating errors and perplexing duplicates in their applications.

As a consequence, the website had to be taken offline for substantial repairs during its initial weekend in operation, as it had become practically unusable. Despite the project's staggering cost of approximately $500 million, insufficient attention had been given to performance testing prior to launching.

That is enough to show the importance of performance testing. Having a constantly up-and-running system, especially in high-risk industries, also establishes trust in customers, which translates into improved professionalism, brand image, and eventually a positive bottom-line.

Performance Testing Types

There are usually 4 important types of performance testing:

1. Load Testing

  • Objective: To determine the system's behavior under expected load conditions.
  • Key Metrics: Response times, throughput, resource utilization.
  • Method: Gradually increasing the load (users or transactions) until performance metrics show degradation or reach predefined thresholds.

2. Stress Testing

  • Objective: To assess the system's behavior under extreme conditions beyond its capacity.
  • Key Metrics: Identify breaking points, failure conditions.
  • Method: Applying loads that exceed the system's capacity to assess how it handles excessive stress.

3. Scalability Testing

  • Objective: To evaluate the system's ability to scale up or down effectively by adding or removing resources.
  • Key Metrics: Scalability limits, resource allocation efficiency.
  • Method: Testing the system's performance as resources are added or removed.

4. Soak Testing

  • Objective: To assess system stability and performance over an extended period under sustained load.
  • Key Metrics: Memory leaks, resource depletion, performance degradation over time.
  • Method: Running tests continuously for an extended duration.

Criteria For Selecting Performance Testing Tools

When selecting a performance testing tool, ensure that you align the tool’s offering and pricing plan with your team’s availability of resources, requirements, and testing needs. 10 important criteria for a good performance testing tool include:

  • Testing Objectives: Does the tool align with your specific performance testing objectives (load testing, stress testing, scalability testing, etc.)?
  • Protocols and Technologies: Does the tool support the protocols and technologies used by your application?
  • Ease of Use: Evaluate the tool's user-friendliness, scripting capabilities, and ease of test creation to determine if it meets your team's skill level and requirements.
  • Scalability: Assess the tool's ability to simulate large numbers of virtual users, as well as its support for distributed testing.
  • Monitoring and Reporting: Consider the tool's monitoring capabilities, real-time reporting, and the depth of performance metrics it can collect and analyze.
  • Integrations: Determine if the tool can seamlessly integrate with your existing development, testing, and CI/CD tools, such as Jenkins, JIRA, or test management systems.
  • Customization: Evaluate if the tool enables you to tailor tests to your application's unique needs.
  • Platform and Environment Support: Ensure that the tool is compatible with your target platforms, browsers, devices, and operating systems, both for testing and monitoring.
  • Cost and Licensing: Consider the total cost of ownership, licensing fees, maintenance, and hardware requirements, to ensure it fits within your team’s budget.
  • Support and Community: Assess the availability of technical support, documentation, training resources, and an active user community to help troubleshoot issues and learn the tool effectively.

Top 15 Performance Testing Tools

1. Apache JMeter


Apache JMeter, an Apache project, is a versatile performance testing tool that specializes in evaluating and gauging the performance of various services, with a primary focus on web applications.


Highlight Features

  • Apache JMeter is used for performance testing in scenarios involving static and dynamic resources, including web dynamic applications.
  • It can simulate heavy server loads to assess strength and performance under varying load conditions.
  • Testing capabilities for various applications, servers, and protocols, such as HTTP, HTTPS, SOAP/REST web services, FTP, JDBC databases, LDAP, JMS message-oriented middleware, email services, native commands, shell scripts, TCP, and Java objects.
  • A comprehensive Test IDE for recording, building, and debugging test plans.
  • Command-Line Mode (CLI) for testing from different Java-compatible operating systems.
  • Dynamic HTML reporting for easy result interpretation.
  • Data extraction and correlation from diverse response formats like HTML, JSON, XML, or textual data.
  • Portability and 100% Java compatibility.
  • Multi-threading framework for concurrent sampling by multiple threads and separate thread groups for different functions.

Website: Apache JMeter

Pricing: Open-source

2. LoadRunner

LoadRunner best performance testing tools

LoadRunner is a performance testing tool developed by Micro Focus. It's a widely used tool for load testing, stress testing, and performance testing for softwares. It offers a wide range of protocols and technologies suitable for a variety of applications. 

Highlight Features:

  • ​​Support performance testing for over 50 technologies and application environments, including MQTT, HTML5, WebSockets, RDP, Citrix, Java, .NET, Oracle, and SAP.
  • Test faster with a patented auto-correlation engine.
  • Provides an IDE to integrate with development environments, enabling performance testing earlier in the application lifecycle.
  • Boost confidence by accurately predicting application scalability and capacity with realistic load emulation.
  • Emulate hundreds or thousands of concurrent virtual users.
  • Run high-scale tests with minimal hardware and utilize the public cloud for scalability.
  • Easily create, record, correlate, replay, and enhance scripts for improved load testing.
  • Built-in integrations include IDE, CI/CD, open source test automation, monitoring, and source code management tools.

Website: LoadRunner

Pricing: LoadRunner starts from $0.15/user/hour at Dev Virtual User Hours tier, $0.3/user/hour and $1.5/user/hour for Web and GUI User Hours tier.

3. Octoperf

Octoperf Logo

OctoPerf is a cloud-based performance testing tool that allows software development and testing teams to assess the performance, scalability, and reliability of their web applications and APIs.


Here is an Octoperf tutorial for you to quickly get the hang of the it:


Highlight Features:

  • No coding knowledge required; features a modern and intuitive web UI.
  • Best suited for online shop owners, web agencies, and companies publishing web applications.
  • Simulate virtual users behaving similarly to customers in a production environment.
  • Provides 80% of expensive tools' features at a fraction of their price.
  • Covers the entire load testing process from design and monitoring to test analysis.
  • Leverages proven open-source technologies like JMeter.
  • Robust integration with Katalon - a comprehensive testing platform for API, web, desktop, mobile, to provide performance testing for teams of any size, any needs. Here’s a guide to do that.

Pricing: At the writing of this article, Octoperf offers a Free Forever plan for teams to experience its power, and paid plans start from only $99/month.

4. Katalon

Katalon logo

Katalon is an AI-powered comprehensive solution enabling teams of all sizes to do web, desktop, API, mobile testing. Katalon is amazing when teams want an all-in-one solution that fits all of their testing needs, and the highly flexible pricing plan allows you to scale as you grow. You can get the best of both worlds: integrate Katalon with Octoperf to do performance testing, while still being able to test all types of systems in one single place. 


Start Testing With Katalon

5. Gatling


Gatling is an open-source performance testing framework used for load testing and stress testing web applications, APIs, and other software systems. It is designed to help developers and testers assess the performance, scalability, and reliability of their applications under various load conditions.

Highlight Features:

  • Gatling is written entirely in Scala and provides a self-explanatory DSL for creating test scripts.
  • tha standalone recorder to convert web actions into Gatling test scripts.
  • Gatling supports various data sources, including CSV, TSV, SSV, JSON files, JDBC, and Redis, for test data in load test scenarios.
  • Gatling utilizes Akka Actors for non-blocking requests, ensuring maximum efficiency.
  • Gatling supports JMS, SSE, Web Sockets, and MQTT (in Gatling Frontline) for testing various communication protocols.
  • Generate detailed HTML reports containing scenario execution information, configuration details, and response statistics.
  • Export results to Grafana, Influx Time Series Database, StatsD, and more.
  • Jenkins CI/CD Integration

Website: Gatling

Pricing: As of the time of this article, Gatling is priced from €89/month, and you can contact sales to get a custom quote for your Enterprise need.

6. Locust


Locust is an open-source load testing tool designed to assess the performance and scalability of web applications and APIs. It is known for its simplicity and ease of use, making it a popular choice among developers and testers for load testing.

Highlight Features:

  • Test scripts and Locust itself are written in Python, making it accessible to Python-savvy developers.
  • Supports distributed load generation with swarms of virtual users across multiple machines.
  • Allows custom test scenario definition using Python code, with a built-in web UI for monitoring and control.
  • Enables the creation of scenarios that mimic real user interactions with an application.
  • Focused on testing HTTP and WebSocket-based applications, including GET, POST, PUT, DELETE requests.
  • Customizable and parameterized test data for data-driven testing.
  • Provides real-time statistics, response times, request rates, and failure rates. Offers HTML reports for in-depth analysis.
  • Can be integrated into CI/CD pipelines for automated load testing.
  • An open-source project with an active user community and extensibility.
  • Well-suited for testing application scalability by varying the number of virtual users under different loads.

Website: Locust

Pricing: Open-source

7. K6


Grafana k6 is a developer-friendly, open-source load testing tool designed to simplify and enhance the process of performance testing for engineering teams. It offers a free and extensible platform.

By leveraging k6, you can assess the robustness and efficiency of your systems, identify performance issues and potential regressions at an earlier stage, and ultimately empower your teams to develop resilient, high-performance applications that can easily scale.

Highlight Features:

  • A command-line interface (CLI) tool accompanied by developer-friendly APIs.
  • Scripting in JavaScript ES2015/ES6, supporting local and remote modules.
  • Incorporating checks and thresholds for goal-oriented and automation-friendly load testing.

k6 also supports a wide range of use cases, including:

  • Load testing: k6 excels at minimal resource consumption and is tailored for high-load tests, including spike, stress, and soak tests.
  • Browser testing: Employing k6 browser, you can execute browser-based performance tests, pinpointing issues specific to browsers, even bypassing protocol-level concerns.
  • Chaos and resilience testing: k6 is a valuable tool for simulating traffic within chaos experiments. It enables you to trigger these experiments from k6 tests or inject various faults into Kubernetes using xk6-disruptor.
  • Performance and synthetic monitoring: Automate and schedule k6 tests to frequently execute with a light load, ensuring continuous validation of your production environment's performance and availability.

Read More: Synthetic Data Generation With Katalon

Interestingly, k6 developers even wrote a Load Testing Manifesto to showcase their vision behind the project, which you can check out using the link above.

Website: K6

Pricing: Open-source

8. Neoload


NeoLoad by Tricentis is a popular performance testing tool used by enterprises to assess the performance, scalability, and reliability of their applications, websites, and APIs.

Highlight Features:

  • NeoLoad, featuring RealBrowser technology, combines browser-based performance testing for custom web and cloud-native apps with a unified interface.
  • Foster collaboration across teams, enabling standardized performance testing with SLA definition, asset sharing, and real-time result review.
  • Conduct performance testing as code, integrating seamlessly with CI/CD tools or using the user-friendly CLI for automation.
  • Easily create tests for complex applications without coding complexity.
  • Improve test script updates with automation.
  • Optimize test resource utilization and reduce costs through dynamic cloud resource allocation.
  • Ensure dedicated resources with load testing infrastructure reservations.

Website: Tricentis NeoLoad

Pricing: Contact Sales for a customized pricing based on your specific testing requirements

9. WebLOAD


WebLOAD, developed by RadView Software, is a performance testing tool designed for assessing the performance, stress resistance, and scalability of web and mobile applications. It successfully combines performance, scalability, and integrity into a unified process, making it effective for verifying the reliability of web and mobile apps.

Highlight Features:

  • WebLOAD.AI revolutionizes load testing with JavaScript flexibility and AI-driven smart correlation.
  • Build robust scripts for diverse requirements, including complex sign-ons, asynchronous communication, web services, WebSocket APIs, and more.
  • Create highly-customized testing sessions that mimic real-life conditions.
  • Features include multiple scripts, protocol- and browser-based scripts, numerous virtual users, global locations, and flexible ramp-up.
  • AI-Powered Performance Analysis: Gain deep insights into system behavior through AI-powered analysis and ChatGPT integration.
  • Simplify complex data with user-friendly insights for quick issue identification and resolution.
  • Dedicated technical support team offers expertise in addressing unique testing challenges.
  • Benefit from proven load testing methodologies and AI-enhanced best practices for successful testing.

Website: Radview (providing WebLOAD)

Pricing: Contact Sales

10. Taurus


Taurus, an open-source framework designed for performance testing, offering a valuable solution by simplifying the complexities associated with running performance tests. It extends the capabilities of various open-source testing tools, including JMeter, K6, Selenium, and others, providing a user-friendly approach to configuring and executing automated performance tests while presenting results in an efficient format. Taurus is compatible with configuration files written in either JSON or YAML, enhancing its flexibility and adaptability for testing processes.

Highlight Features:

  • Installation and setup are straightforward.
  • It can execute pre-existing scripts written in JMeter, Grinder, Gatling, or Selenium.
  • Easy merging of multiple test scripts into a single test run, saving valuable time.
  • Real-time reporting enhances user understanding of test results.

Website: TaurusGitHub repo

Pricing: Open-source

11. BlazeMeter


BlazeMeter is a cloud-based performance testing tool that allows organizations to conduct load testing, performance testing, and stress testing of their web applications, APIs, and mobile apps.

Highlight Features:

  • Identify hardcoded data and generate additional data from predefined lists using AI.
  • Streamline test data generation by converting text into test data functions with generative AI.
  • Instantly generate test data functions with natural language, eliminating manual coding.
  • Enhance system resilience with AI-driven test data to challenge systems and identify vulnerabilities.
  • Conduct massive-scale load and performance testing directly from your IDE. Combine UX and load testing to simulate user experiences under load.
  • Overcome environment constraints with on-the-fly synthetic test data and integrated mock services. No additional licensing or management required.
  • Shift testing left and right with integrated API testing and ongoing monitoring. Detect API issues before impacting end users.
  • Accelerate testing with Android emulators and iOS simulators. Combine virtual and real devices for comprehensive app testing.

Website: BlazeMeter

Pricing: Contact Sales

12. LoadNinja (by Smartbear)

LoadNinja best performance testing tools

LoadNinja is a cloud-based load testing and performance testing tool designed for web applications and websites. LoadNinja is known for its user-friendly, scriptless approach to load testing, making it accessible to a wide range of users, including developers, QA engineers, and performance testers.

Highlight Features:

  • Create web and API load tests quickly with the InstaPlay Recorder. No coding required, even for complex transactions. Suitable for users with varying skill levels in load testing.
  • Use real browsers to ensure accurate and realistic load testing results. No need for load emulators or approximations. Eliminate the complexities of maintaining and setting up emulators.
  • Avoid manual correlation complexities and time-consuming tasks. Handle load and create complex performance tests without intricate correlation.
  • Diagnose performance issues in web apps and APIs in real time. Access actionable data through browser-based navigation timings. Reflects true end-user experience for quick issue isolation.
  • Incorporate continuous performance testing into deployment schedules. Parameterize tests for flexibility and automation. Utilize the public REST API or custom CI/CD plugins for automation and integration.

Website: LoadNinja

Pricing: Contact Sales

13. Artillery

Artillery is an open-source, modern, and developer-centric performance testing tool designed to simulate heavy loads on web applications, APIs, and WebSocket services. It is known for its simplicity, flexibility, and scalability, making it a popular choice for DevOps teams and developers who need to ensure their systems can handle high traffic loads and identify performance bottlenecks.

Highlight Features:

  • Distributed load testing is made easy and free with Artillery's built-in support.
  • No need for DevOps as Artillery is serverless, utilizing AWS Lambda and AWS Fargate for distributed tests.
  • Effortlessly launch thousands of headless browsers with Playwright code for dynamic web app load testing.
  • Designed for continuous testing, ensuring cost-effectiveness by only paying AWS for actual usage.
  • Artillery runs in your own AWS account, integrating seamlessly with security and compliance mechanisms for testing both public endpoints and internal services.
  • Boost developer productivity with over 20 integrations and plugins for monitoring, CI/CD, and best practices, enabling rapid transition to production-grade testing.

Website: ArtilleryGitHub repo

Pricing: Open-source 

14. LoadUI Pro

LoadUI Pro best performance testing tools

LoadUI Pro is a performance testing tool developed by SmartBear, designed to help organizations assess and optimize the performance and scalability of their web applications and APIs. 

Highlight Features:

  • LoadUI Pro is built on LoadUI, an open-source load testing tool, fostering collaboration within a large user community.
  • Java-based LoadUI Pro is compatible with major operating systems, including Windows, Linux, and macOS, facilitating testing across different platforms.
  • LoadUI Pro offers extensive monitoring capabilities, including web server performance, CPU, RAM, disk I/O, database performance (e.g., slow queries), and application server statistics (e.g., heap size), enhancing performance insights.
  • Test creation is simplified with drag-and-drop scenario building. Interactive execution allows real-time adjustments without stopping and restarting scenarios. SLA parameters can be set, and flow control enables real-life emulation.
  • LoadUI Pro provides real-time performance statistics without pausing, and its reporting engine offers detailed or summary reports in various formats (PDF, Word, Excel, XML). Customized reports can be generated using the interactive report builder tool.
  • LoadUI Pro accommodates various testing scenarios, including baseline, stress, endurance, spike, configuration, isolation, scalability, and recovery testing, ensuring adaptability for different requirements.

Website: SoapUI

Pricing: Contact Sales

15. Silk Performer

Silk Performer stands as the enterprise-class solution for assessing the performance, load, and stress of software applications. The tool excels in creating highly realistic and fully customizable load tests, achieved through the use of virtual users that mimic real user behavior when submitting transactions to systems under test. Silk Performer's efficiency is evident in its ability to generate tests simulating hundreds or thousands of concurrent users while utilizing minimal hardware resources.

Highlight Features:

  • Comprehensive load and stress testing
  • User-centric diagnostics for error identification
  • Accelerated quality assurance and faster time-to-market
  • Scalable cloud simulation for peak loads
  • Simplified test execution
  • Global testing reach from 50+ locations
  • Asset reusability for faster testing
  • Real web browser testing
  • User-friendly workflow with built-in wizards

Website: Silk Performer

Pricing: Contact Sales

FAQ On Performance Testing Tools

1. What tools are used for performance testing?

Performance testing can be conducted using various tools, both open-source and commercial. Some popular performance testing tools include Apache JMeter, LoadRunner, Gatling, Apache Benchmark (ab), among others.

2. Is JMeter a performance testing tool?

Yes, Apache JMeter is an open-source performance testing tool widely used for performance and load testing on web applications, databases, and more.

3. What are performance vs load testing tools?

Performance testing evaluates the overall performance of a system, including factors like speed, responsiveness, and stability, under various conditions. Load testing is a subset of performance testing that specifically focuses on assessing how a system handles a specific load or level of concurrent users.

In short, the scope of load testing tools falls within the scope of performance testing tools.

4. What is the best way to do performance testing?

The best way to conduct performance testing depends on your specific requirements and the nature of your application. Some highly recommended best practices include:

  1. Identifying performance goals early in the development process.
  2. Creating realistic test scenarios to simulate real-world user behavior.
  3. Using a mix of tools and approaches, including load testing, stress testing, and scalability testing, to cover different aspects of performance.
  4. Conducting testing in a controlled environment that resembles the production environment as closely as possible.
  5. Monitoring results to identify bottlenecks, performance issues, and areas for improvement.
  6. Iteratively optimizing and retesting the application to achieve the desired performance levels.

Read More: