Case Study: PayJoy achieves 21% Snowflake data warehousing cost reduction with Keebo

Payjoy Cuts Snowflake Data Warehousing Costs by 21% With Keebo

PayJoy, a mobile e-financing company serving underbanked consumers, faced a 37% jump in Snowflake usage that drove up data warehousing costs and consumed valuable data engineering time with manual optimizations. To address this, PayJoy engaged Keebo and its automated warehouse optimization service to manage and reduce Snowflake costs.

Keebo connected to PayJoy’s warehouse, automatically learned workload patterns and applied optimizations without manual intervention, onboarding in under 30 minutes and producing results within 48 hours. The Keebo solution cut Snowflake costs by 21% despite queries rising from 1.6M to 2M, reclaimed hundreds of engineering hours for analysis and internal support, and continuously adjusts optimizations as workload changes.

PayJoy

Trish Pham

Head of Analytics