Azul powers the largest banks in the world and with peak load demands of up to 50,000 transactions per second, Azul Platform Prime will help ensure that we can deliver the best that artificially intelligent machines can offer.
Challenge
- Feedzai Fraud Prevention That Learns™ software fuses big data and machine learning to allow analysts to predict and prevent electronic payment loss in real time based on behavioral analysis. Ultra low latencies are of paramount importance to many of Feedzai’s customers, but almost impossible to achieve if they use a standard JVM.
Solution
- Azul Platform Prime is designed for enterprise applications and workloads that require any combination of large memory, high transaction rates, low latency, consistent response times, and high sustained throughput. It is the only JVM that eliminates Java garbage collection pauses and is used by many of the world’s largest financial services institutions.
Result
- Azul Platform Prime provides consistent low-latency with high throughput and supports large in-memory datasets without performance penalties. It eliminates the operational interruptions and response time outliers often experienced by Java-based trading, risk and compliance applications in financial markets.
