Migrate IBM Netezza to SingleStore with Netezza to SingleStore experts you can trust
It's a well-understood project. Our senior engineers assess your NZPLSQL, map data types, translate window functions, and rebuild batch flows into real-time HTAP pipelines on SingleStore—all while your Netezza stays
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 → SingleStore after migration
- ✓Fixed-scope project, no surprise costs
- ✓Senior platform engineers handle every migration phase
- ✓Your Netezza stays supported until you're ready to cut over
- ✓Real-time HTAP on SingleStore eliminates batch delays
- ✓Save 40–70% on legacy support while you plan the move
- ✓24/7 US-based support post-migration
Complex NZPLSQL structural differences?
Our engineers map every NZPLSQL block to SingleStore MPSQL, preserving logic and performance.
Unsure how window functions will translate?
We translate every Netezza window function to its SingleStore equivalent with validated results.
Data-type mapping (timestamps/time zones) a headache?
We use a proven mapping library for legacy timestamps, time zones, and numeric types to avoid data loss.
IBM Netezza → SingleStore migration — your questions answered
Will my Netezza box be shut down immediately during migration?+
No. Your IBM Netezza stays under vendor support as long as your contract is active. You migrate on your timeline with no forced big-bang cutover.
What happens if my IBM support contract expires before migration finishes?+
If your vendor renewal lapses, our independent third-party support covers most operational issues while you finish the move. It is not vendor support and does not include vendor patches.
How do you handle NZPLSQL block differences vs SingleStore MPSQL?+
Our senior engineers manually translate each NZPLSQL stored procedure to SingleStore MPSQL, then test equivalence. We use proven patterns from hundreds of migrations.
What about data-type mapping, especially timestamp/timezone fields?+
We apply a validated data-type mapping library that handles legacy timestamps, time zones, and other differences. Every column is verified during the assessment phase.