Case Study: Capital One achieves real-time risk analysis with DataTorrent

Capital One leverages stream processing for real-time risk analysis

Capital One, one of America’s largest banks, needed a production-ready way to analyze thousands of transactions per second and detect fraud and other risks in real time. Its legacy, proprietary system was costly, hard to scale, and too limiting for new real-time applications, so it looked for a streaming platform from DataTorrent that could support low-latency, 24x7 risk analysis.

DataTorrent’s Apache Apex platform was selected to process transactional data with enterprise-grade reliability and easy integration into Capital One’s existing environment. The solution delivered single-digit millisecond latency, 99.999% uptime with automatic failover, lower total cost of ownership on Hadoop and commodity hardware, and the flexibility to add new risk-detection applications without vendor lock-in.

Capital One