Case Study: Leading Retailer achieves low-latency, agile back-office financial processing with Hazelcast

How a leading retailer leveraged open source in-memory technologies to accelerate financial applications

Leading Retailer, a global retailer with billions in revenue and a large, distributed platform team, needed to accelerate back-office integrations and reduce the months-long lead time to stand up new services. After evaluating open-source in-memory options, the team piloted Hazelcast and ultimately adopted Hazelcast IMDG Enterprise to build a centralized cache-as-a-service that met their needs for performance, security, and business continuity.

Hazelcast delivered an in-memory data plane fed by Kafka and IBM MQ and exposed via APIs and a microservices/API gateway architecture, with replication across data centers for resiliency. The Hazelcast solution has been in production for two years and cut new service delivery from two months to two days, dramatically improving developer agility, low-latency data access for financial teams, and providing enterprise features like security, monitoring, and support.