Retail & Consumer GoodsSourced
Case Study: Casey's halves daily operational data delivery from 8 hours to 4 with Databricks SQL
Casey's Case StudySourced & dated by Case Study Desk
Key results
The challenge
Casey's, a US convenience store and fuel retailer, ran a legacy on-premises warehouse with mixed workloads that created performance bottlenecks, missed SLAs, and delayed operational insights needed before 6:00 a.m.
The solution
Casey's migrated to a cloud-native lakehouse using Databricks SQL as the analytics layer, eliminating redundant data copies and separating ingestion from query workloads.
“We just weren't fast enough. As data volumes grew and insights became more critical, that wasn't acceptable anymore.”
RFRyan FyeDirector of Data Strategy, Casey's
The results, in context
Casey's cut the time to deliver daily operational data from 8 hours to 4 hours, completed its migration more than 50% faster than planned, and migrated 100% of its analytics workloads to Databricks SQL.
Products used
Databricks Databricks SQLDatabricks Databricks Data Intelligence Platform