Trust Your Datastage to Databricks Migration to Senior Engineers with Fixed Scope
You migrate IBM InfoSphere Information Server to Databricks by converting proprietary DataStage ETL into Python/SQL. Our senior platform engineers handle the transformation, unit testing, and parallel runs—fixed
The lowest-cost way off IBM InfoSphere Information Server: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.
How we support IBM InfoSphere Information Server → Databricks after migration
- ✓Fixed-scope projects by senior platform engineers.
- ✓Convert DataStage ETL to Python/SQL on Databricks.
- ✓40–70% savings vs vendor support during migration.
- ✓Your legacy platform stays vendor-supported while active.
- ✓24/7 US-based support for migration and post-move.
- ✓Unity Catalog governance and PySpark optimization included.
Squeezed by renewal costs
High licensing renewals from your legacy vendor eat budget, forcing rushed lakehouse migration timelines.
Uncertain code conversion
Proprietary DataStage BASIC scripts and quality stages don't port cleanly—our engineers reverse-engineer every transformation.
Performance ceiling on-prem
On-prem data grids struggle with scale; moving to Databricks modernizes performance, but you need senior help to get there.
IBM InfoSphere Information Server → Databricks migration — your questions answered
Do I lose vendor support on my IBM InfoSphere Information Server during the migration?+
Yes. Your existing vendor contract stays active during the project, so you can migrate on your timeline with no forced cutover. If the vendor renewal lapses, our independent third-party support covers most operational issues while you complete the move (does not include vendor patches).
What’s the hardest part of a Datastage to Databricks migration?+
Complex DataStage jobs—especially those with BASIC scripting, proprietary quality stages, and multi-step orchestrations—are the main challenge. Our senior engineers deconstruct and rebuild each logic piece into Python/SQL on Databricks, matching transformation rules exactly.
How long does a Migration project take, and what’s the budget?+
Most projects run 6 to 12 months with a team of 3 to 6 senior platform engineers. Budgets typically range from $150,000 to $900,000 depending on job count, data volume, and complexity. Every project starts with a free fixed-scope assessment.
Can you help manage our Databricks environment after the move?+
Yes—we provide full Databricks Workspace management, Unity Catalog governance, and PySpark optimization. Your team gets proactive monitoring, performance tuning, and cost management so your lakehouse runs efficiently post-migration.
Proven Migrations. Fixed Scope. Free Assessment.
Don't let proprietary DataStage scripts or high IBM licensing slow your lakehouse migration. Our senior engineers have done this before—fixed scope, no surprises. Start with a Free DataStage to Databricks assessment to map your environment, estimate effort, and lock in your project timeline.