Hazelcast

Hazelcast

Hazelcast is an open source in-memory data grid that enables distribution of data and computation across servers for scalability, speed, and resilience. It is commonly used for caching, processing streams, and clustering.
Hazelcast image
caching processing-streams clustering

Hazelcast: Open Source In-Memory Data Grid

Hazelcast enables distribution of data and computation across servers for scalability, speed, and resilience, commonly used for caching, processing streams, and clustering.

What is Hazelcast?

Hazelcast is an open source in-memory data grid that provides a distributed architecture for scaling data and computation. It allows distribution of data and processing logic across multiple servers, enabling horizontal scalability, high performance, and resilience.

Some key capabilities and uses cases of Hazelcast include:

  • Distributed in-memory caching for low latency data access and high scalability
  • Processing continuous streams of data for real-time analytics pipelines
  • Clustering to coordinate and replicate data across multiple nodes
  • Shared data structures like maps, queues, sets across clustered nodes
  • Used heavily by banks, insurance, e-commerce, gaming, and IoT companies needing scale and resilience

Hazelcast can synchronize data across geographically distributed clusters for disaster recovery needs. It handles data partitioning, load balancing, cluster coordination, and failure detection automatically. The open source version is free to use while enterprise tiers provide added security, management, and integrations.

Hazelcast Features

Features

  1. Distributed in-memory data store
  2. Low latency data access
  3. Automatic sharding and rebalancing
  4. ACID transactions
  5. Querying and aggregation
  6. Event journaling
  7. Multi-datacenter replication
  8. Web session clustering
  9. Continuous query
  10. Machine learning

Pricing

  • Open Source
  • Enterprise Edition (Subscription)

Pros

Fast performance

Easy scalability

High availability

Flexible deployment options

Open source

Rich ecosystem

Cons

Complex configuration

Steep learning curve

No visual interface


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