Compare LoadNinja vs. NeoLoad

Identify and rectify performance problems in web UIs and APIs using data that is not only highly actionable but also exceptionally precise. Unlike traditional performance testing, which typically occurs at the protocol level, leading to extensive tests that are difficult to interpret and demand significant programming efforts that can take days or even weeks to establish, LoadNinja offers a more streamlined approach. This conventional method often fails to reflect real-world scenarios, focusing solely on the protocol, which explains why performance testing has been perceived as challenging. However, with LoadNinja, you can evaluate the genuine end-user experience across thousands of browsers utilizing our innovative TrueLoad technology, thereby reducing your workload by more than 60%. This method eliminates the need for maintenance or extensive setup, providing you with the most accurate performance insights in the shortest time frame. You can enhance test coverage for websites, web applications, and APIs without compromising on quality, all while crafting intricate performance tests without the burden of complicated correlation processes. By employing this advanced testing approach, teams can achieve a more nuanced understanding of how their applications perform under real user conditions.

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.