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Fortune 500 Financial Services Company Migrates from Netezza, SSIS, DataStage, and Informatica to Snowflake

A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to Snowflake faster and with full confidence.

Fortune 500 Financial Services Company Migrates from Netezza, SSIS, DataStage, and Informatica to Snowflake
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What Next Pathway's Fortune 500 Financial Services Company Case Study covers

A Fortune 500 Financial Services Company migrated Netezza, SSIS, DataStage, and Informatica to Snowflake. Next Pathway's automation platform delivered 100% automated code translation, conversion of 5,800+ ETL pipelines, and retirement of the legacy Netezza environment within six months.

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Automated Large Scale Code Conversion

Next Pathway automated the translation of more than 600,000 lines of Netezza SQL and stored procedures for Snowflake. Over 5,800 DataStage and Informatica ETL pipelines were converted and optimized for Snowflake execution, reducing manual effort and accelerating delivery timelines.

Seamless Migration with Zero Business Disruption

All ETL pipelines and BI reports were migrated and operational in Snowflake without disrupting ongoing business operations. Hundreds of BI report queries were repointed to the new Snowflake environment, supported by QA, parallel run support, training, and documentation for internal teams.

Legacy Platform Retirement and Cloud Modernization

The company fully retired its legacy Netezza environment within six months, eliminating the need for costly license extensions. With workloads running on Snowflake, the organization now operates on a scalable cloud native platform designed to support advanced analytics, agility, and future growth.

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1 Billion+

Lines of code translated automatically

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160+

Enterprise modernizations completed

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80%

Faster time-to-market for AI-ready infrastructure

Latest Snowflake Case Study

Next Pathway helped a UK-based asset management leader migrate from Azure Synapse and Azure Data Factory to Snowflake with zero business disruption and 100% automated code translation.

Read the case study to see how Next Pathway delivered:

End-to-end migration completed in just 10 months
100% automated code translation with SHIFT
Seamless compliance and financial reporting throughout cutover
Real-time analytics and AI-ready data on a unified platform
Download Case study
British Asset Management Firm Migrates from Azure Synapse and Azure Data Factory to_Cover

What Industry Analysts Say

Image (Rob Enderle)
Rob Enderle

ENDERLE GROUP

"Next Pathway is providing a solution that accelerates the migration process, giving organizations a faster route to realizing value from their data."
Eric Kavanagh
Eric Kavanagh

THE BLOOR GROUP

"SHIFT Cloud enables a remarkably swift and robust transition from traditional data warehousing to the cloud."

What a structured Snowflake migration covers

A successful migration to Snowflake requires a clear plan across four disciplines.

Discovery and dependency mapping

Every code object, ETL pipeline, and data dependency needs to be identified and documented before migration begins. Hidden complexity discovered mid-migration creates delays and risk.

Code translation and modernization

Legacy SQL, stored procedures, and ETL pipelines must be converted into optimized, Snowflake-native workloads. Automated translation eliminates manual rework and ensures full coverage.

Validation and functional parity

Every migrated workload must be validated against the legacy source to confirm data accuracy and functional equivalence before cutover. 100% parity is not optional.

Production cutover planning

Cutover requires a defined plan covering resource allocation, rollback decisions, and business sign-off. Teams that plan cutover from the start move faster and with greater confidence.

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