We have now expanded our awareness of all the data storage and distribution collections offered by Hazelcast. Additionally we have learned about the default atomic nature of data concurrency but also the mechanisms to combat, and gatekeeper concurrency, should our application demand great degrees of control over the data flow. Finally, we have discovered comparable versions of features found in traditional alternatives, as well as offered by other Java technologies. By now we are finding out how extensive and flexible Hazelcast can be. While we've now touched on most of the basics, there is plenty more detail left to be discovered.
Now we have discovered the various types of collections that we have available for us to use in our applications, in the next chapter we shall look at how Hazelcast splits and shares the data around to unlock its incredible scalability.
