Teradata to Snowflake & Amazon Redshift Migration: Financial Services Case Study
Global financial leader automated migration from Teradata to Snowflake and Redshift to accelerate cloud adoption and analytics
Teradata migration to Snowflake and Redshift enabled a global financial firm to reduce complexity and scale analytics with ease:
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CRAWLER360 assessed all Teradata workloads in 4 weeks, preparing for automated migration to Snowflake and Redshift.
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Using advanced automation tools, 99% of the client’s SQL code and stored procedures related to financial data were translated for Snowflake and Amazon Redshift.
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Using a structured migration plan, the client experienced an impact-free transition to Snowflake and Redshift, maintaining business continuity throughout.
Access the in-depth case study to learn how we enabled a seamless Teradata to Snowflake and Redshift migration for a global financial enterprise.

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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 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 Azure fast.