replicated vs distributed cache

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Replicated cache stores copies of data on multiple nodes, while distributed cache partitions data across multiple nodes.

Replicated cache provides high availability and fault tolerance as data is duplicated on multiple nodes.
Distributed cache improves scalability and performance by distributing data across multiple nodes.
In replicated cache, all nodes have a complete copy of the data, which can lead to higher memory requirements.
In distributed cache, data is divided into partitions and each node stores a subset of the data.
Examples of replicated cache include Redis and Memcached.
Examples of distributed cache include Apache Ignite and Hazelcast.

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