Case Study: Carvana improves customer experience with Databricks

Carvana turns to Databricks DLT and streaming to uplevel CX

Carvana, the Arizona-based online used car retailer, wanted to improve its car buying, selling, and financing experience through its Next Generation Communication Platform (NGCP), but it faced scaling issues, data quality challenges, and high data warehouse costs. Carvana turned to Databricks Data Intelligence Platform, including Spark Declarative Pipelines and Databricks SQL Serverless, to support its growing data needs and near real-time analytics.

With Databricks, Carvana streamlined streaming and batch pipelines, improved dependency orchestration, and strengthened data quality, lineage, and alerting in one interface. The result was faster development, easier collaboration, better real-time analytics, and lower operational burden, with Databricks also helping reduce costs and making Spark Structured Streaming more accessible to the team.

Carvana

Christina Taylor

Special Projects Team Lead