Easy Scaling with Hazelcast In-Memory Data Grid

In-memory data grids have historically been the exclusive domain of large investment banks and proprietary solutions such as Oracle Coherence, Pivotal Gemfire, and Software AG Terracotta. Hazelcast provides an open source solution that is easy to develop, elastic in scaling and fault tolerant. Implemented in Java it offers some key advantages to the competition. You can’t send logic execution to Memcached node and Redis LUA interpreter is no match for the state of art JVM. Also, it fits easily in Java micro-services architectures. The first part of this presentation will cover simple use case, fictional stock brokerage system, that shows basic distributed structures and their behavior. The second part will show some advanced features of Hazelcast like event listeners and data affinity. At the end comparison between Hazelcast and Redis and Memcached.