Prominent US hospital migrates from Netezza and IBM DataStage to Google Cloud Platform
Next Pathway provides a comprehensive range of “end-to-end” migration services, designed to support and guide our clients from planning to production cut over.
Learn how a nationally recognized hospital modernized its legacy data systems using automation to migrate to Google Cloud—improving agility, compliance, and analytics.
- Leveraged intelligent translation tools to move complex workloads to Google Cloud Platform without disrupting operations.
- Enabled HIPAA-compliant infrastructure for better governance, privacy, and regulatory adherence in healthcare environments.
- Real-time data availability empowered clinicians and analysts to drive more informed care and operational efficiency.
Download the Google Cloud migration case study to see how this hospital improved healthcare delivery through secure, automated cloud modernization.
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Fast, Accurate and Smooth Migration to Cloud
End-to-End Migration Planning & Architecture in Just a Few Weeks
Simplify your migration planning by letting automation show you what’s in your legacy EDW, Data Lake and ETL pipelines, what to migrate, and where to start.
Translate your Legacy EDW, Data Lake and ETL code with 100% Coverage
Automatically translate your legacy code to Google Cloud Platform’s T-SQL syntax, including SQL, Stored Procs, ETLs, and other complex code types.
Optimize and Performance-Tune Workloads for Smoother Cut-Over
Automatically test, validate and optimize translated workloads and performance tune to get your business consuming from Google Cloud Platform fast.
Testimonies About Our Migration Technology

Charles Araujo
PRINCIPAL ANALYST, INTELLYX“Next Pathway simplifies the cloud migration process so its clients can transform and optimize their workloads to meet changing business requirements while they migrate them.”

Eric Kavanagh
PRINCIPAL ANALYST, THE BLOOR GROUP“Next Pathway created SHIFT Cloud - a code translation engine that enables a remarkably swift and robust transition from traditional on-prem data warehousing, to the new reality in the cloud.”