Case Study: DoorDash achieves 10X to 15X query performance improvement with Starburst Data

DoorDash experienced 10X to 15X performance improvement in overall query run times after deploying Starburst and Trino

DoorDash, a platform connecting millions of consumers with hundreds of thousands of merchants, needed faster access to data to support analytics, machine learning, and initiatives like Project DASH. To improve performance, security, and connectivity, DoorDash turned to Starburst Data and its Starburst Enterprise platform.

Starburst Data helped DoorDash build toward a unified query engine with easy connectivity to S3 and Snowflake, stronger security features, and 24/7 expert support. The result was a 10X to 15X improvement in overall query runtimes when running queries on S3 in ML Spark jobs instead of a data warehouse, along with faster onboarding and enhanced authentication through Okta.

DoorDash

Akshat Nair

Engineering Manager