Virtualization Testing itself is a huge topic to discuss on which has its own pros and cons. When it comes to Big Data, it is very important to perform Virtualization Testing but the creation of virtual machines requires both cost and resources and as the data continues to grow with every second in the real world, it becomes quite difficult to manage these machines. More often one cannot continue to scale up these VMs especially if the VM already contains a snapshot. Essentially “Virtual Machine can never replace the real one”