Compare Frugal Testing vs. NeoLoad

Evaluate your web application, REST API, and mobile application effortlessly with just three straightforward steps. Start by inputting your API endpoints or URLs for testing. Next, set up your load testing parameters, including the number of simultaneous users, testing duration, and bandwidth simulation requirements. Select from various global locations to initiate your load tests, and we will handle the rest! Once your tests are complete, your results will be readily available for review. You can analyze your data while the tests are ongoing, check JMeter logs, or save your findings as a PDF at any point. There's no need for installation; you can craft scenarios directly in your browser, all operated from the cloud. With a pay-as-you-go model, you can simulate hundreds of thousands of concurrent users from diverse locations and apply bandwidth simulations. As your tests progress, examine the results to identify any performance bottlenecks. Detailed reports can be downloaded anytime you need them. There’s no need for migration from JMeter, as you can import any JMX project into Frugal Testing and export it whenever you choose. Consistently enhance both your product and business operations with the insights gained from Frugal Testing, ensuring you are always moving towards success.

Software for continuous performance testing to automate API load and application testing. For complex applications, you can design code-free performance tests. Script performance tests in automated pipelines for API test. You can design, maintain, and run performance tests in code. Then analyze the results within continuous integration pipelines with pre-packaged plugins for CI/CD tools or the NeoLoad API. You can quickly create test scripts for large, complex applications with a graphical user interface. This allows you to skip the tedious task of manually coding new or updated tests. SLAs can be defined based on the built-in monitoring metrics. To determine the app's performance, put pressure on it and compare SLAs with server-level statistics. Automate pass/fail triggers using SLAs. Contributes to root cause analysis. Automatic test script updates make it easier to update test scripts. For easy maintenance, update only the affected part of the test and re-use any remaining.