Case Study: Financial Services Company achieves real-time analytics and low-latency trading with Hazelcast

Financial Services Company - Customer Case Study

Financial Services Company faced soaring data volumes, tighter cross-jurisdictional regulation, and a business need for near‑zero latency trading, faster risk reporting, and quicker time-to-market for new applications. To address these challenges they adopted Hazelcast’s In‑Memory Data Grid (Hazelcast IMDG) enterprise software to increase data velocity, simplify the data model, and provide a secure, authenticated middleware fabric for real‑time analytics and trading.

Hazelcast deployed a distributed in‑memory cache and compute fabric (with maps, queues, events, security and linear scaling) that ran analysis in memory and load‑balanced work across grid nodes. The solution moved many end‑of‑day processes into minutes or hours and enabled near‑real‑time trading and risk functions, while lowering TCO and shortening development cycles; measured deployments included 15,000 daily P&L calculations (70,000 daily requests, 2.5M persisted objects/day), 100,000 updates/hour for grid jobs and 5–10 million market data accesses per region—demonstrating Hazelcast’s performance and scalability.