Hazelcast supports distributed computing by providing a comprehensive set of features, APIs, and primitives for executing distributed computing tasks across a cluster of nodes.
Leveraging Hazelcast's distributed computing capabilities, applications can parallelize data processing, execute computations in a distributed manner, and scale out to handle large volumes of data and processing tasks efficiently.
Here's how Hazelcast supports distributed computing :
* Distributed Data Structures
* Parallel Processing Primitives
* MapReduce Processing Model
* Distributed Messaging
* Event-Driven Processing
* Integration with Distributed Data Processing Frameworks
* Fault Tolerance and Resilience
