I love the small memory of the library I embedded (since I have many issues with the memory of my pc). It is also very fast and not complex at all and it saved my all my problems in the distributed systems for sure! Review collected by and hosted on G2.com.

Nothing to share about this...I would say as a con that it takes a bit more time in order to coordinate yourself where and what is located Review collected by and hosted on G2.com.

Hazelcast first of all is a really great distributed data grid. You can use distributed collections out of the box like Map, Set, Queue for microservices replicas to share data or for caching purposes. Also, it is possible to take distributed locks to prevent doing the same work simultaneously. The Streaming framework Hazelcast Jet has many needful features and is very fast. Can be run separately from services or as a library. Supports automatic rebalancing and replication. Multiple network options to make a cluster such as multicasting or kubernetes support. Review collected by and hosted on G2.com.

It`s a little bit tricky to set up cluster in Kubernetes but it`s a matter of reading the documentation carefully. You should write serializers for objects yourself but it`s your payment for the size of the memory footprint of your cache. Poor search options in in-memory data structures. Review collected by and hosted on G2.com.

Performance and how it is easy to start implementation. In-memory processing is great advantage, because of high availability. Review collected by and hosted on G2.com.

Documentation is not as good as for Hazelcast IMDG and sometimes I do not know where I can find some information I am looking for. Review collected by and hosted on G2.com.

Hazlecast is great because it's distributed data-structures are extensions of commonly used java interfaces. Due to this our team was able to quickly grasp the framework, and implement our solution. Review collected by and hosted on G2.com.

At the time I was using this (2017), there weren't much documentation explaining the internal behavior, so we had to dig in to the source code. Review collected by and hosted on G2.com.

I like Hazelcast being configurable to auto back-up features of it. When one of your hazelcast instance is down, remaining instances in the cluster recovers those data from backup and continue working where it left. Review collected by and hosted on G2.com.

I can't think of anything I don't like about Hazelcast IMDG, maybe the pricing would be the worst side of it. Review collected by and hosted on G2.com.

We enjoyed using hazel cast cluster for one of the highly scalable SaaS applications serving 2 million transactions every minute Hazel cast was very stable and we loved it Review collected by and hosted on G2.com.

We used Hazel cast back in 2013-2015 and those days I felt there were multiple opportunities to improve further. Some of those improvements which we had suggested didn't get implemented even after a a couple of years. Review collected by and hosted on G2.com.

Performance, ease-of-use, and JVM friendliness Review collected by and hosted on G2.com.

Hazelcast implementation requires application changes. However, solutions like the Heimdall Proxy can manage Hazelcast clusters by providing the caching and invalidation logic for Hazelcast. Review collected by and hosted on G2.com.

We had multiple services running independently. It was helping us to make financial data instantly available to all our services. Review collected by and hosted on G2.com.

It's costly and you cannot add huge data in this as it stores data in in-memory. Review collected by and hosted on G2.com.

The ability to have a distributed cache with very high performance numbers Review collected by and hosted on G2.com.

Setup on a distributed system can somethings be tricky, but with tools like Kubernetes it's much more simpler than used to be. Review collected by and hosted on G2.com.

Useful to store and retrieve as the service call is frequently get data than database Review collected by and hosted on G2.com.

Key and value pair in concurrent mapping can be modified model or pojo class's with security upgrade Review collected by and hosted on G2.com.