Hazelcast provides a unified real-time data platform that combines stream processing with an ultra-fast, in-memory data store and a distributed compute engine - all within a single runtime. By consolidating compute and storage, the platform enables businesses to act on streaming data with minimal latency, without the complexity of stitching together separate systems.
The platform is built around several demanding use cases: modernising payment processing architectures, detecting fraud in real time, delivering personalised offers at the moment of decision, and building event-driven microservices. Hazelcast claims that 75% of the world's transactions pass through applications it powers. One customer, PSA Antwerp, reported a 33% reduction in operational costs after adoption. Deployment is cloud-agnostic, with support for AWS, Microsoft Azure, and Google Cloud.
Hazelcast serves clients across financial services, retail banking, e-commerce, supply chain, and healthcare - sectors where low-latency data processing and high availability are critical to operations. The platform's architecture is designed to handle mission-critical workloads where the cost of delay or downtime is high.