Best Load Testing Tools

TAST, Test Automation System Tool is a comprehensive cloud test automation framework that enables businesses to maximize their test automation across the complete testing process from an End User´s perspective. It is easy to use and its graphical interface defines the automated test cases across technological platforms. TAST automates: *Cross Browser testing *Mobile testing *Desktop applications testing *DDBB testing: Oracle, PostgreSQL, MySQL, Db2. *File testing: txt, pdf, word, excel, csv, xml. *Mainframe testing: AS400, Host *APIs testing *Interface testing. *Remote Server testing. Types of tests you can automate with TAST: *Integration *Functional *System: Regressive, stress, load, parallel *Acceptance *A/B.

LoadView by Dotcom-Monitor is a cloud-based load testing platform used by DevOps and performance testing engineers for load testing websites, web applications, and APIs from real browsers. Emulate real traffic from around the world to uncover bottleneck and performance issues and improve the user experience. Leveraging Amazon Web Services (AWS) and Azure Cloud Services, LoadView manages the cloud network so you can focus exclusively on designing and executing your load tests.

Appvance IQ (AIQ) delivers transformational productivity gains and lower costs in both test creation and execution. For test creation, it offers both AI-driven (fully machine-generated tests) and also 3rd-generation, codeless scripting. It then executes those scripts through data-driven functional, performance, app-pen and API testing — for both web and mobile apps. AIQ’s self-healing technology gives you complete code coverage with just 10% the effort of traditional testing systems. Most importantly, AIQ finds important bugs autonomously, with little effort. No coding, scripting, logs or recording required. AIQ is easy to integrate with your current DevOps tools and processes. Appvance IQ was developed by a pioneering team who envisioned a better way to test. Their innovative vision has been made possible by applying differentiated, patented AI methods to test creation while leveraging today’s high-availability compute resources for massive levels of parallel execution.