IBM · IBM DataStage → AWS Glue · Migration

Trusted IBM DataStage to AWS Glue Migrations: Fixed Scope, Senior Engineers

Migrating IBM DataStage to AWS Glue is a well-understood process. We handle it with automated PySpark code generation and fixed-scope projects led by senior engineers.

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The lowest-cost way off IBM DataStage: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.

Automated discovery

Your IBM DataStage estate mapped — workloads, dependencies, licensing — before day one

Conversion tooling

Schema, config and workload translation to AWS Glue, automated where it's safe

Parity validation

Side-by-side testing proves AWS Glue matches production before cutover

Runbook cutover

Rehearsed, reversible, scheduled in your maintenance window

Completed in 5–10 mo

Timeline

Fixed-scope projects

Budget

Save 40–70% vs. vend

Savings

How we support IBM DataStage → AWS Glue after migration

✓Fixed-scope migration with senior platform engineers.
✓Automated PySpark code generation for serverless AWS Glue.
✓Legacy DataStage stays vendor-supported during migration.
✓40-70% savings vs. renewing DataStage support.
✓24/7 US-based support throughout the project.
✓Post-migration AWS Glue management available.

Partitioning Complexity

Complex parallel partitioning parameters that break in serverless environments.

Custom Code Rework

Custom C++ operators and BASIC routines that require re-engineering.

Legacy Data Sources

Legacy file-based sources like mainframes and COBOL copybooks.

IBM DataStage → AWS Glue migration — your questions answered

What if we need support for our existing IBM DataStage during the migration?+

Vendor support continues while your contract is active. If it lapses, our third-party support covers most operational issues but not vendor patches.

How do you handle complex parallel partitioning parameters and custom operators?+

Our senior engineers re-engineer those into AWS Glue native constructs – mapping partitions and converting C++/BASIC code to PySpark.

What about legacy file-based sources like mainframes?+

We handle COBOL copybooks and mainframe formats using automated parsing and AWS Glue connectors.

How long does a typical migration take?+

5–10 months with 2–4 senior consultants, budget $100k–$650k fixed scope.

Plan Your IBM DataStage to AWS Glue Migration – Free Roadmap

Request your free DataStage to AWS Glue migration roadmap and TCO assessment. Our senior engineers will analyze your environment and deliver a fixed-scope plan.