Hazelcast Platform is a unified real-time data platform that integrates a distributed compute engine and a fast data store within a single runtime. It is designed to power applications that require instant action on data, supporting both real-time stream processing and high-speed data access. The platform simplifies modern data architectures by reducing the need for multiple software components, offering high performance, resilience, scalability, and cloud-agnostic deployment. It supports both structured and unstructured data, provides advanced features for AI and event-driven workloads, and is available in Community (open source) and Enterprise (commercial) editions.

Key Features

Distributed Compute Engine Enables large-scale, parallel data processing across clusters.

• Supports both streaming and batch workloads.
• Orchestrates distributed tasks, letting developers focus on business logic.

Fast Data Store Provides an in-memory, distributed key-value store for ultra-fast data access.

• Sub-millisecond latency for transactional and contextual data.
• High-density memory support for large datasets.

Stream Processing Engine Processes real-time data streams and integrates with event-driven architectures.

• Enables stateful aggregations, windowing, and enrichment with historical context.
• Supports integration with Kafka, Pulsar, Kinesis, and more.

Vector Search Allows querying of unstructured data using vector embeddings.

• Efficient similarity search for AI/ML applications.
• Continuously updated vector indexes within data pipelines.

Advanced Consistency and Resilience Provides tunable consistency models and robust disaster recovery.

• Advanced CP subsystem for strong consistency.
• WAN replication and blue-green deployment support for high availability.

Cloud-Agnostic and Flexible Deployment Runs on public/private clouds and integrates with major cloud providers.

• Available on AWS, GCP, Azure marketplaces.
• Supports Kubernetes and hybrid cloud deployments.

Security Suite Offers end-to-end encryption, mutual authentication, and role-based access control.

• TLS encryption, X509 certificate support.
• Integration with enterprise security standards.

Management and Monitoring Web-based Management Center for cluster monitoring and administration.

• Real-time insights, scripting, and integration with enterprise monitoring tools.

Long-Term Support and Rolling Upgrades Facilitates seamless upgrades and reduces operational risk.

• Direct upgrades between LTS releases with zero downtime.

Benefits

Simplified Architecture Reduces complexity by unifying compute and storage in a single platform.

• Fewer moving parts, less integration effort.
• Faster development and deployment cycles.

High Performance and Scalability Handles billions of events per second with minimal latency.

• Scales linearly with cluster resources.
• Optimized for both compute-heavy and data-intensive workloads.

Resilience and Business Continuity Ensures high availability and disaster recovery.

• Supports zero downtime upgrades and failover.
• Minimizes data loss and planned downtime.

Future-Proof and Flexible Supports AI/ML, event-driven, and edge use cases.

• Cloud-agnostic design fits evolving infrastructure needs.
• Integrates with existing systems and data sources.