Case Study: Quartile achieves scalable, reliable e-commerce advertising with Databricks

Becoming the largest e-commerce ad platform

Quartile, the world’s largest e-commerce cross-channel advertising platform, needed a more modern and scalable data architecture to support over 5,000 connected ad accounts across 10+ channels. As its data and performance demands grew, Quartile moved beyond traditional SQL databases on Azure and adopted the Databricks Lakehouse to improve reliability, speed, and cost efficiency.

Using Databricks Data Intelligence Platform, Quartile implemented Delta Lake, Auto Loader, Databricks SQL, and Lakeflow Jobs to streamline data processing and analytics. The migration reduced storage from 90TB to about 18TB, while also delivering faster performance, better data reliability, and lower costs.

Quartile

Daniel Knijnik

Chief Executive Officer