Case Study: Eventbrite saves 1,000+ hours validating its migration with Datafold

A Datafold Case Study

Preview of the Eventbrite Case Study

Eventbrite saves 1000+ hours migrating to Snowflake with Datafold

Eventbrite, a global event technology platform, faced a significant challenge while migrating its data infrastructure from Presto to Snowflake. With over 300 models to rebuild and validate, the company needed to ensure data transformation parity between the old and new systems without inefficient manual checks or lengthy stakeholder reviews. To solve this, Eventbrite used Datafold and its Data Diff product to automate the validation process.

Datafold's solution allowed Eventbrite to automatically compare data between Presto and Snowflake models, providing metrics and visualizations to confirm accuracy against agreed-upon SLAs. This saved the data team over 1000 hours of manual engineering time that would have been spent building validation scripts and facilitating stakeholder reviews. Datafold enabled a faster, more accurate migration and will remain a key component for ensuring ongoing data quality.


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