Case Study: Barstool Sports achieves up to 70% cost savings on Snowflake with Keebo

Barstool Sports Cuts Costs by 70% with Keebo’s Automated Optimizations

Barstool Sports, a web-based digital media company, was struggling with skyrocketing Snowflake usage and rising costs as growing numbers of dashboards, dynamic filters, and self-service queries overwhelmed a small engineering and data team. To regain control of query management, reduce warehouse optimization burdens, and curb mounting Snowflake bills, they turned to Keebo and its automated Data Learning platform.

Keebo integrated directly with Barstool Sports’ Snowflake instance (a simple hostname change) and provided real-time query acceleration and warehouse optimization without disrupting workflows. The implementation delivered measurable impact: a 34% reduction in Snowflake credits, 60% savings on direct application connections, up to 70% savings on customer engagement application usage, zero system downtime, and freed engineering capacity to focus on strategic features.

Barstool Sports

Nick Booth

Head of Backend Engineering