Case Study: Intercontinental Exchange achieves real-time, always-on trading data at scale with DataStax Enterprise

Intercontinental Exchange, Inc. (ICE) Powering the World’s Traders with DataStax

Intercontinental Exchange (ICE), the Atlanta-based operator of 12 regulated exchanges including the NYSE, needed to deliver accurate, secure, up‑to‑the‑second market data to traders, risk managers and brokers. Facing massive, volatile data volumes and strict requirements for performance, scalability and 24/7 availability for new derivatives and bonds applications, ICE required an operational data layer with real‑time analytics and search.

ICE deployed DataStax Enterprise (built on Apache Cassandra) across multiple physical data centers in a 25‑node cluster to handle terabytes of transactional data per day. DSE provided linear scalability, multi‑data‑center replication, real‑time search/analytics, security and enterprise support, resulting in always‑on access, improved customer satisfaction and the ability to scale reliably as data and user demand grow.

Intercontinental Exchange

Steve Hirsch

Chief Data Officer