Hazelcast, an open source clustering and highly scalable data distribution platform written in Java, focuses on latency and makes it easier to cache/share/operate TB's of data in-memory. Storing terabytes of data in-memory is not a problem but avoiding GC to achieve predictable, low latency and being resilient to crashes are big challenges. By default, Hazelcast stores your distributed data (map entries, queue items) into Java heap which is subject to garbage collection. As your heap gets bigger, garbage collection might cause your application to pause tens of seconds, badly affecting your application performance and response times. Elastic Memory is Hazelcast with off-heap memory storage to avoid GC pauses. Even if you have terabytes of cache in-memory with lots of updates, GC will have almost no effect; resulting in more predictable latency and throughput. 

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