Case Study: Deutsche Börse Group achieves intelligent, scalable, low-latency caching for real-time regulatory reporting with Redis Enterprise

Deutsche Börse Achieves an Intelligent Cache with Redis Enterprise

Deutsche Börse, a global exchange and market infrastructure provider, needed a reporting solution that could handle rapidly growing quote and trade volumes while meeting strict regulatory SLAs. The challenge was to process and ingest high-throughput market data in real time with minimal latency, reliable availability, and responsive support for an enterprise workflow.

Deutsche Börse implemented Redis Enterprise as an intelligent cache in front of its Oracle data warehouse, ingesting Kafka-captured quotes and trades so Redis could clean, aggregate and process data for downstream regulatory reporting. The deployment delivered low latency, high throughput, seamless scalability, high availability and automated operations—enabling the firm to meet compliance requirements and scale with anticipated data growth.

Deutsche Börse Group

Maja Schwob

Head of Data IT