Case Study: Spotluck achieves real-time, always-up-to-date analytics by replicating MongoDB to their data warehouse with Stitch

How Spotluck replicates MongoDB to their data warehouse

Spotluck is a food-and-beverage startup (25–100 employees) that quickly outgrew its manual data processes after expanding into Philadelphia. Their primary data lived in MongoDB, and maintaining custom Python ETL scripts was time-consuming, created a 24‑hour reporting delay, and placed an undue burden on engineering—making timely business intelligence and partner reporting impractical.

By adopting Stitch to replicate MongoDB into their data warehouse, Spotluck had dashboards and reports running in under a day and now receives continuous, up‑to‑date data in Tableau. The automated ETL eliminated engineer-maintenance of scripts, enabled real‑time insights for internal teams and restaurant partners, and supported faster decision-making, business growth, and stronger partner relationships.

Spotluck

Brad Sayler

Co-founder and Chief Financial Officer