IBM · IBM watsonx.data → Microsoft Fabric · Migration

Simplify your watsonx.data to Microsoft Fabric migration with our proven fixed-scope

Yes, this migration is well-understood. Over 3-5 months, our senior engineers execute a fixed-scope plan: move your lakehouse to Fabric's OneLake, enabling DirectLake speed for Power BI, while you keep vendor support

Get My Free AssessmentNo obligation. Senior engineer reviews your environment within 24 hours.

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

Automated discovery

Your IBM watsonx.data estate mapped — workloads, dependencies, licensing — before day one

Conversion tooling

Schema, config and workload translation to Microsoft Fabric, automated where it's safe

Parity validation

Side-by-side testing proves Microsoft Fabric matches production before cutover

Runbook cutover

Rehearsed, reversible, scheduled in your maintenance window

40-70%

Savings vs. OEM renewal on legacy platform during migration

24/7

US-based support from migration to post-go-live

$110K–$550K

Typical project budget for full migration

How we support IBM watsonx.data → Microsoft Fabric after migration

✓Consolidate disparate lakehouse components into Fabric's OneLake
✓Integrate Iceberg and Delta formats seamlessly
✓Eliminate operational burden of watsonx.data updates
✓Align unstructured lakehouse data with Microsoft Power Platform
✓Senior engineers, fixed scope – no surprises
✓24/7 US-based support during and after migration

Runtime Optimization Lock-In

Watsonx-specific Spark engine optimizations don't transfer directly, risking performance loss if not properly re-architected.

Security Catalog Constraints

Proprietary IBM Cloud catalog security models complicate data access control mapping to Fabric OneLake.

Operational Overhead

Managing watsonx.data updates and infrastructure distracts from your core analytics initiatives.

IBM watsonx.data → Microsoft Fabric migration — your questions answered

How do you handle watsonx-specific Spark runtime optimizations when migrating to Fabric?+

We re-architect your Spark workloads to leverage Fabric's built-in Spark engine, tuning for DirectLake performance. Our team includes former IBM and Microsoft engineers who know both runtimes.

What about IBM Cloud catalog security constraints during the migration?+

We map your existing security policies to Microsoft Purview and OneLake access controls, ensuring compliance and governance continuity.

Can we keep using watsonx.data while the migration is in progress?+

Absolutely. Your legacy platform remains under vendor support throughout the project. We migrate incrementally with zero downtime for active users.

What post-migration support do you offer for Fabric?+

We provide managed Fabric capacity tuning, OneLake organization, and Power BI semantic modeling to optimize performance and cost.

Your watsonx.data to Microsoft Fabric migration starts now

After migration, we keep your Fabric environment running at peak efficiency with managed capacity tuning, OneLake organization, and Power BI semantic modeling. Our fixed-scope engagement ends with a smooth handoff. Ready to start? Get your free Fabric Migration Assessment today.