Case Study: Ingersoll Rand accelerates legacy warehouse migration with Datafold

A Datafold Case Study

Preview of the Ingersoll Rand Case Study

Ingersoll Rand cuts migration time by 75% with Datafold

Ingersoll Rand faced a challenge when a major acquisition left them with a sophisticated legacy data warehouse on Azure Synapse, maintained by a costly third-party vendor. They needed to migrate over 400 complex stored procedures to their modern Snowflake and dbt Core environment, a project they estimated would take a year using traditional consulting methods. To solve this, they turned to Datafold and its AI-powered Migration Agent.

Using Datafold's solution, Ingersoll Rand automated the code translation and data validation, completing the migration in just three months instead of the projected twelve. This cut the project time by 9 months and eliminated hundreds of thousands of dollars in annual vendor costs. Datafold successfully decomposed even a massive 300,000-character procedure into hundreds of dbt models, ensuring perfect data parity and providing a scalable playbook for future integrations.


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