Case Study: a major national online car retailer achieves real-time personalized recommendations and lower latency with StarTree

a major national online car retailer saves $260k annually with StarTree

A major national online car retailer faced challenges scaling its real-time recommendation engine built on DocumentDB. The solution was becoming prohibitively expensive and struggled with high query latency at peak volumes, which degraded the user experience. They turned to vendor StarTree and its real-time analytics platform, powered by Apache Pinot, for a solution.

By migrating to StarTree, the retailer streamlined its architecture and utilized efficient upsert operations to handle millions of daily profile updates. This implementation significantly improved performance, reducing average query latency to 6 milliseconds and saving the company approximately $260,000 annually.