Security and compliance are built into every phase. We start with a comprehensive assessment of your current Netezza security model—access controls, data masking, and encryption settings. During migration, we remap these controls to the target platform's security framework, whether that's cloud-native IAM, VPC isolation for NPS BYOC, or air-gapped deployment on Barracuda. For customers in regulated industries, we maintain audit trails throughout the transition and implement data governance frameworks that meet regulatory requirements. Our dual-run synchronization architecture ensures your production reporting—the reporting that regulators and business leaders depend on—continues without interruption during the entire migration.

ROI comes from multiple sources. One Fortune 500 financial services customer achieved a 40 percent reduction in total cost of ownership compared to their legacy appliance and third-party support contract. Query performance improved by 3–5x on complex analytical workloads. Beyond cost and performance, organizations gain capabilities that legacy Netezza can't provide—elastic scaling for peak workloads, self-service BI that reduces report turnaround from days to seconds, and a platform foundation for predictive analytics and AI. The phased approach we use means you start seeing returns on high-value workloads early, not just at the end of the migration.

Automated conversion tooling can typically handle 80–95 percent of NZSQL queries and a significant portion of NZPLSQL logic. The remaining 5–20 percent requires manual refactoring by engineers who understand both the Netezza source and the cloud target. This residual work is where the real complexity lives—edge cases in date handling, Netezza-specific SQL behaviors, stored procedures with deeply nested business logic, and UDFs originally compiled as 32-bit on legacy appliances. Pythian's dual fluency in both the appliance era and the cloud era is what makes the difference. We've done this work across complex, multi-terabyte environments and know where the hidden dependencies live.

It depends on your workload characteristics, strategic direction, and IBM relationship. IBM is actively investing in Netezza's future—NPS SaaS on AWS and Azure, the Barracuda on-prem appliance, and planned GCP BYOC support and Iceberg catalog integration. For organizations that value the Netezza query engine, their existing NZSQL codebase, and their IBM relationship, staying within the NPS ecosystem preserves continuity while gaining cloud elasticity. Cloud-native platforms like BigQuery, Snowflake, or Databricks are better suited for organizations ready to fully decouple from the appliance model and gain serverless scaling, modern BI integration, and AI-ready infrastructure. Pythian provides honest, vendor-neutral assessment based on ROI modeling and workload analysis—not vendor loyalty. We're credible on both paths because we understand both worlds equally well.