Case Study: Walmart selects Apache Hudi for a high-performance universal data lakehouse with Onehouse

Selecting Apache Hudi as the Most Compatible and Highest-Performance Data Lakehouse Format

Walmart, the world's largest retailer, faced the colossal challenge of managing tens of petabytes of data generated daily from diverse global sources. To personalize customer experiences and support analytics, they needed to move from a batch-oriented data architecture to a modern data lakehouse. This required a methodical evaluation to select the best open-source data lakehouse format to manage their enormous scale and complexity.

Walmart selected the data lakehouse architecture from Onehouse, built on Apache Hudi, after a rigorous evaluation against other options. The solution won based on superior compatibility with Walmart's compute engines and highest performance in both ingestion and query workloads. This selection empowers Walmart to migrate its critical, massive-scale data integration tasks to a unified architecture, providing a strong foundation for future growth and use cases.

Walmart

Samuel Guleff

Senior Engineering Manager