Expert Netezza to Databricks Migration — Fixed Scope, Proven Results
Migrating IBM Netezza to Databricks is a straightforward project. Our senior engineers convert NZPLSQL and map distribution keys to Delta Lake liquid clustering.
The lowest-cost way off IBM Netezza: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.
How we support IBM Netezza → Databricks after migration
- ✓Fixed-scope project with senior platform engineers
- ✓Legacy Netezza stays on vendor support during migration
- ✓Save 40-70% on legacy support while you plan your move
- ✓Convert NZPLSQL loops to PySpark or SQL procedures
- ✓Map index-less distribution keys to liquid clustering
- ✓24/7 US-based support throughout the transition
Complex NZPLSQL conversion
Your existing loops and exceptions must be rewritten for Databricks SQL procedures or PySpark — our engineers handle this without breaking logic.
Distribution key mapping
Netezza's index-less high-performance distributions map directly to Delta Lake liquid clustering for equal or better query speed.
Rising costs and vendor lock-in
Netezza maintenance costs spike while you need to unify data warehousing with ML. We keep you on your current vendor support until you choose to move.
IBM Netezza → Databricks migration — your questions answered
How do you handle NZPLSQL conversion?+
Our senior engineers rewrite loops and exceptions into Databricks SQL procedures or PySpark, preserving your business logic exactly.
How do you map Netezza distribution keys to Delta Lake?+
We use Delta Lake liquid clustering to replicate the performance of index-less distributions — no query degradation.
What happens to my Netezza vendor support?+
Your vendor contract remains active; we don't force a cutover. If it lapses, our third-party support covers most operational issues (not patches).
How long does migration take?+
Typical projects run 6-12 months with 4-7 consultants. We scope it fixed so you know the budget and timeline upfront.
Start Your Free Lakehouse Migration Assessment
After migration, we optimize your Databricks environment with Unity Catalog governance, cost controls, and automated pipeline maintenance. Let's discuss your migration timeline — no pressure.