Case Study: Faire cuts data pipeline costs by 70% with Select Star

Faire Slashes Data Pipeline Costs by 70% with Snowflake and Select Star

Faire, the B2B e-commerce platform connecting over 100,000 brands with 700,000 retailers, faced major data-growth challenges as usage scaled rapidly. Their existing warehouse struggled with frequent cluster halts, downtime, and inconsistent access to self-serve data, making it harder for teams to trust and use metrics across the business. Faire turned to Select Star and Snowflake to support its expanding data needs.

Using Select Star as a data catalog and lineage platform, Faire built a clearer core data model, identified unused or redundant columns, and mapped common joins and downstream dependencies across tables. Select Star helped Faire speed up insights and improve data governance, resulting in a 70% reduction in core data pipeline costs, an 80% decrease in debugging hours for analytics engineering, and a 20% boost in user engagement.

Faire

Ben Thompson

Staff Analytics Engineer