Global Investment Bank Migrates from Oracle and DataStage to Snowflake
Global investment bank migrated Oracle and DataStage to Snowflake, enabling AI-ready data engineering, scalable analytics, and high-performance cloud execution.
Learn how a top investment bank migrated DataStage & Oracle to Snowflake — reducing cost, improving speed, and powering next-gen AI analytics:
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Migrated from Oracle and DataStage to Snowflake for scalable, AI-ready cloud performance.
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Enabled real-time analytics, faster reporting, and improved decision-making across global operations.
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Reduced cost, unified data architecture, and accelerated readiness for enterprise AI workloads.
Download the Snowflake Migration Case Study to learn how SHIFT Cloud enabled Oracle and DataStage to Snowflake migration, delivering faster analytics, scalability, and AI-driven modernization.
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Testimonies About Our Migration Technology
Christian Kleinerman
SVP of Product, Snowflake“Our partnership with Next Pathway is essential to helping our customers automate this migration from on-premise solutions to Snowflake’s Data Cloud.”
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.”
Fast, Accurate and Smooth Migration to Snowflake
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 modernize your legacy SQL, stored procedures, and ETL code into Snowflake-optimized SQL and native Snowflake constructs.
Optimize and Performance-Tune Workloads for Smoother Cut-Over
Automatically test, validate, and optimize translated workloads — performance-tuned to help your business start consuming data on Snowflake faster.
