What are the differences between Hazelcast and Redis?

What are the differences between Hazelcast and Redis?

Hazelcast and Redis are both in-memory data stores, but they have different architectures and use cases. Hazelcast is designed for distributed computing and offers features like data partitioning and clustering, while Redis is primarily a key-value store known for its speed and simplicity.

Which one is better for real-time analytics?

For real-time analytics, Redis is often preferred due to its high performance and support for various data structures. However, Hazelcast can also be effective, especially in scenarios requiring distributed processing.

Can you explain the scalability of both?

Hazelcast scales horizontally by adding more nodes to the cluster, allowing for distributed data storage and processing. Redis can also scale, but it typically requires sharding or using Redis Cluster for horizontal scaling.

What about their community support and documentation?

Both Hazelcast and Redis have strong community support and extensive documentation. Redis has a larger user base, which can be beneficial for finding resources and community help.