Case Study: Patreon reduces data incidents and improves data democratization with Datafold

Patreon reduces data outages by 80% with Datafold

Patreon, a platform that helps creators earn money from fans, faced challenges in maintaining data quality and preventing outages as the company scaled. New products and complex migrations introduced risks to their critical data systems, which powered 80% of the company's data. The Patreon Data Team sought a solution from Datafold to proactively ensure the reliability of their data products and prevent incidents rather than just reacting to them.

Datafold implemented its Data Diff, Catalog, and column-level lineage features to provide granular data observability. This allowed Patreon to proactively assess the impact of changes and unify data documentation. The results included an 80% decrease in data outages, a 50% increase in documented tables, and faster onboarding for new data hires, significantly improving data democratization and stakeholder confidence.

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