Compare Digital.ai Continuous Testing vs. NeoLoad

Explore the innovative features of your mobile app by engaging with genuine mobile devices in real-time through your web browser. You can develop and run hundreds of both manual and automated tests simultaneously across more than 1,000 authentic iOS and Android devices hosted in the cloud. Craft Appium tests effortlessly right from your integrated development environment and take advantage of live interactions and debugging. Gain insights through visual test reports and sophisticated analytics. Streamline your cross-browser testing by executing Selenium tests on over 1,000 different browser types, versions, and operating systems. Engage actively with your application as you debug and conduct visual assessments to confirm UI adaptability across various resolutions. With Appium Studio, you can intuitively create new tests or utilize existing projects. Testing on iOS devices via a Windows setup is straightforward, providing advanced testing options. Digital.ai Continuous Testing empowers organizations to perform scalable tests, enhance test coverage, and leverage data-driven insights to deliver superior applications. This comprehensive approach ensures that applications are not only functional but also user-friendly across diverse platforms.

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.