AWS Transform vs. JavaScript vs. Transformer Cobol vs. VMware HCX Comparison Chart

AWS Transform is an agentic AI service from Amazon Web Services that automates and accelerates the modernization of legacy workloads, specifically .NET, mainframe, and VMware environments. Built on AWS’s migration and modernization experience, it deploys specialized AI agents to carry out tasks like assessment, code analysis, dependency mapping, refactoring, decomposition, validation, and planning, many of which run in parallel, to speed up large-scale transformations. Through a shared workspace and natural-language chat interface, cross-functional teams can collaborate, track progress, and manage modernization projects from end to end. AWS claims AWS Transform can make .NET apps port up to 4 times faster, greatly speed VMware configuration conversion, and compress mainframe migration timelines (years down to months), while also helping reduce legacy licensing, infrastructure cost, and ongoing maintenance expenses.

Morphis Transformer for Cobol Automated Refactoring from Mainframe to Serverless When it comes to move workloads from mainframe to the cloud, we face two possible paths: Re-hosting: a more tactical approach that preserves the original code almost untouched. Refactoring: a more strategic alternative, in which new applications, written in more modern languages, are obtained from the legacy sources. At first glance Re-hosting can be more appealing, since it represents inferior cost and risks. But if Refactoring uses very high automation, both Re-host and Refactoring approaches can be pursued in projects with similar duration, similar risks, and similar costs. We here demonstrate the Morphis Automated Refactoring, yet tailored, approach to migrate from COBOL/CICS OLTP applications to single page applications, with JavaEE or .NET server logic, fully integrated with cloud native services. Furthermore, this approach also allows us to achieve the ultimate costs.