Case Study: OTTO achieves scalable, real-time product-data streaming and faster partner onboarding with Confluent

Confluent Helps Power a Diverse and Scalable Online Shopping Experience for OTTO

OTTO, one of Germany’s largest online marketplaces, faced rapid growth and scaling limits after shifting from an e‑commerce provider to a full e‑commerce platform that hosts its own products plus offerings from up to 6,000 partners. The company’s on‑prem Apache Kafka setup and monolithic, disparate data systems made partner onboarding and timely product data delivery slow and operationally burdensome, so OTTO chose Confluent (Confluent Cloud/Kafka) to relieve management overhead and modernize its architecture.

By adopting Confluent Cloud and Kafka, OTTO centralized and standardized event streams, replaced per‑partner implementations with a single protocol, and automated microservices to validate, process, and publish product data. With Confluent’s support, OTTO now processes product data in as little as 15 minutes, operates a fully scalable platform, speeds partner onboarding, and delivers a smoother selling and buying experience across the marketplace.

Otto

Torsten Rascher

Team Lead, Integration Services