vs AWS Transform
A different cell
is not freedom.
AWS Transform is impressive engineering with one destination: AWS-hosted Java. If that’s where your business was always going, take it. If you want the destination to be your decision — that’s us.
Side by side
Two paths off the mainframe
| AWS Transform | PalmDigitalz | |
|---|---|---|
| What it produces | COBOL translated to Java that runs on AWS | The business rules themselves — deterministic, with line-level lineage |
| Destination | One: AWS-hosted Java in a managed runtime | The target you choose — Python microservices on any cloud or on-prem, or straight into your ERP (SAP, Oracle, Workday) |
| Runtime | One runtime, one cloud | Target-agnostic |
| After the move | Readable by their tools, hosted on their cloud, priced on their meter | The asset Palm produces is yours to point anywhere, forever |
| When it fits | AWS-hosted Java is where your business was always going | The destination should be your decision |
Weighing more than these two? The full vendor matrix — every serious option, refereed.
The real question
Who owns the destination?
Transform translates COBOL to Java that runs on AWS. The output is code in a managed runtime — readable by their tools, hosted on their cloud, priced on their meter. Your exit from the mainframe becomes your entrance into the next dependency.
Palm extracts the business rules themselves — deterministic, with line-level lineage — and forward-engineers them to the target you choose: open Python microservices on any cloud or on-prem, or straight into the ERP you already bought. The asset Palm produces is yours to point anywhere, forever.
The honest comparison isn’t speed or syntax. It’s this: who owns the destination?