Hazelcast
Open SourceFundedUnified real-time data platform for instant action and scalability
About Hazelcast
Hazelcast offers a cloud-native, distributed data platform designed to accelerate real-time applications through in-memory computing, caching, and stream processing. It enables enterprises to build scalable, resilient systems that deliver sub-millisecond data access and real-time event detection, supporting use cases such as payment processing, fraud detection, and application modernization. The platform supports flexible deployment across any cloud environment or on-premises, providing operational continuity with features like rolling upgrades and geo-replication.
Targeted at large enterprises across industries including financial services, retail, healthcare, and supply chain, Hazelcast addresses the challenges of latency, availability, and scalability in modern data architectures. Its open-source community edition and enterprise version allow organizations to adopt a unified approach to distributed computing and data management, reducing operational costs and eliminating single points of failure. Hazelcast integrates seamlessly with existing technology stacks and supports Kubernetes for cloud-native orchestration, making it suitable for complex, mission-critical deployments.
Key Capabilities
- ✓Distributed caching for sub-millisecond data access
- ✓Geo/WAN replication for high availability and disaster recovery
- ✓Flexible data consistency with CP or AP models
- ✓In-memory compute for parallel cluster processing
- ✓Stream processing for real-time event detection
Integrations
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