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IBM · IBM DataStage → Azure Data Factory · Migration

Your IBM DataStage to ADF migration, proven & fixed scope.

Yes, this migration is a well-understood project. Here is how it works: We convert your IBM DataStage parallel jobs and containers to Azure Data Factory pipelines while keeping your legacy environment under vendor

Get My Free AssessmentIncludes scope estimate and timeline

Get My Free Assessment

Includes scope estimate and timeline

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Powered by the 3PS Migration Engine

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 Azure Data Factory, automated where it's safe
Parity validation
Side-by-side testing proves Azure Data Factory matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
6–12 months
Typical project timeline
$120K–$750K
Fixed project cost
40–70%
Savings vs. vendor support renewals during migration

How we support IBM DataStage → Azure Data Factory after migration

  • Fixed-scope project with senior platform engineers.
  • We migrate DataStage parallel jobs to ADF pipelines.
  • Sequencer logic and containers handled, not dropped.
  • Your IBM DataStage stays supported until you cut over.
  • Post-migration ADF managed support and optimization.
  • 40–70% savings on legacy support while you plan.

IBM DataStage licensing renewal looms

Renewal costs rise every year. You need to migrate IBM DataStage to Azure Data Factory before the next invoice, but the project feels risky.

Complex jobs block the move

DataStage parallel jobs, Hash Files, shared containers, and BASIC transform code make the conversion hard. Your team is not sure where to start.

Corporate mandate forces the cloud

An Azure-first directive or Data center exit gives you no option. You need to migrate DataStage to ADF fast, without breaking production.

IBM DataStage → Azure Data Factory migration — your questions answered

What happens to my DataStage parallel jobs with custom routines?+

Our senior engineers convert each parallel job—including custom BASIC routines, Hash Files, and containers—to ADF pipelines and Data flows. Complex sequencer loops are replicated exactly.

Will I have a coverage gap if my IBM support lapses mid-migration?+

Your legacy platform stays under vendor support as long as your IBM contract is active. If that contract expires, our third-party support covers most operational issues while you complete the move.

How long does a typical DataStage to ADF migration take?+

Most projects run 6 to 12 months with 3 to 5 senior engineers. Cost is fixed upfront between $120,000 and $750,000 depending on job count and complexity.

Who manages the pipelines after the migration?+

We offer ongoing managed support and optimization for your Azure Data Factory pipelines and target environments like Synapse and Databricks.

Migrate IBM DataStage to ADF with confidence

Start with a free feasibility assessment. We will scope your DataStage environment, estimate timeline and cost, and show you a clear path to Azure Data Factory. No pressure. No guesswork.

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