Case Study: Faire reduces Redshift-to-Snowflake migration time by 6 months with Datafold

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Preview of the Faire Case Study

Faire reduces Redshift-to-Snowflake migration by 6 months with Datafold

Faire, a mid-sized online wholesale marketplace, faced the challenge of migrating thousands of data tables from Redshift to Snowflake while ensuring absolute accuracy and maintaining their existing data pipelines. They needed to validate that the data was moved correctly and explain any discrepancies, but building an in-house validation tool would have added significant time and manual effort to their aggressive timeline. To solve this, Faire used the Data Diff feature from vendor Datafold.

Datafold's solution integrated into Faire's Airflow workflows to automatically compare data between the old and new platforms after each table refresh. This process enabled data engineers and business owners to collaboratively iterate on models until an agreed-upon level of accuracy was achieved. As a result, Faire completed its full migration six months faster than if it had built its own tooling and continues to use Datafold for ongoing data integrity projects.


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