US Foods Builds Digital-First Ecommerce Platform with Data Streaming

US Foods, a Chicago-area food distributor with both B2B operations and more than 70 retail locations, is using Apache Kafka and Confluent Cloud to support a digital transformation centered on real-time, event-driven services. Its Digital Platform Services team built a data mesh architecture to connect legacy mainframes, SQL and Oracle databases, Snowflake, MongoDB Atlas, and microservices as the company launches and migrates customers to its new MOXe e-commerce platform. After initially testing self-managed open-source Kafka and later Amazon MSK, US Foods adopted Confluent Cloud to reduce operational workload for its eight-person platform team while gaining managed connectors, scalability, reliability, stream governance, role-based access controls, and observability. The company says the platform helps it handle low-latency data flows, scale on demand, maintain service-level commitments, and integrate a diverse technology environment without dedicating extensive resources to Kafka administration.

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