Case Study
PAYJOY Cuts Snowflake Data Warehousing Costs by 21% with Keebo
Since its 2015 launch, PayJoy, a mobile e-financing service for underbanked consumers, has tripled its revenue and expanded to 500 employees across seven countries. Facing a 37% surge in Snowflake usage, PayJoy struggled with high costs and inefficient manual optimizations, which distracted data engineers from more valuable work. Implementing Keebo's automated warehouse optimization led to a 21% reduction in Snowflake costs and freed hundreds of hours for data analysis and internal support. Keebo's system adapts to workload changes and data updates automatically, proving essential for PayJoy's data management without the need for manual intervention.