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IBM · IBM InfoSphere Information Server → Google Cloud Dataflow · Migration

Trusted DataStage to Dataflow migration – fixed scope, senior engineers.

You migrate IBM InfoSphere Information Server to Google Cloud Dataflow by replacing DataStage jobs with Apache Beam pipelines. Our fixed-scope team handles the complexity while your legacy environment stays safe under

Get My Free AssessmentOne of our senior engineers will review your environment and timeline within 2 business days.

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One of our senior engineers will review your environment and timeline within 2 business days.

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Powered by the 3PS Migration Engine

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

Automated discovery
Your IBM InfoSphere Information Server estate mapped — workloads, dependencies, licensing — before day one
Conversion tooling
Schema, config and workload translation to Google Cloud Dataflow, automated where it's safe
Parity validation
Side-by-side testing proves Google Cloud Dataflow matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
6–12 months
Typical project duration
3–6
Senior engineers per project
40–70%
Savings vs. vendor support renewals

How we support IBM InfoSphere Information Server → Google Cloud Dataflow after migration

  • Fixed-scope migration projects delivered by senior platform engineers.
  • Vendor support stays active while you plan your move.
  • Third-party support for most issues if vendor renewal lapses.
  • 40-70% savings on legacy support during migration.
  • 24/7 US-based support for your IBM InfoSphere environment.
  • Post-migration Dataflow monitoring and Apache Beam optimizations.

Orchestrator lock-in

Proprietary IBM sequence orchestrators lock you into a single vendor. Your team fears rebuilding complex job chains for Dataflow.

File dependency spaghetti

On-prem sequential file dependencies make it hard to move to a Cloud-native streaming model. DataStage jobs expect local file systems.

Multi-row state logic

Transformer loops with multi-row states don't map directly to Apache Beam. You worry about rewriting hundreds of job designs.

IBM InfoSphere Information Server → Google Cloud Dataflow migration — your questions answered

How do you handle proprietary IBM sequence orchestrators?+

Yes. Our senior engineers replace proprietary IBM sequence orchestrators with native GCP workflows. We handle on-prem file dependencies with Cloud Storage staging, and convert transformer loops to Apache Beam stateful processing.

Can you migrate both streaming and batch jobs?+

Absolutely. We design parallel pipelines that run streaming and batch jobs simultaneously on Dataflow. Your contracted IBM vendor support stays active, so you can migrate on your timeline without a big-bang cutover.

What is the typical project budget?+

Costs range from $140,000 to $800,000 for a typical 6-12 month project with 3-6 senior consultants. Scope is fixed — no surprises.

Do I need to drop IBM support immediately?+

No. Your IBM InfoSphere remains under vendor support as long as your contract is active. If it lapses, our third-party support covers most operational issues while you finish the move (but not vendor patches).

Proven DataStage to Dataflow experts, fixed scope.

Move with confidence. Your legacy IBM InfoSphere runs safely while we execute a fixed-scope conversion to Google Cloud Dataflow. After migration, we optimize your Dataflow jobs and manage your Cloud costs. Ready to start?

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