One of the most useful features of real-time stream processing is to combine the strengths and advantages of various technologies to provide a unique developer experience and an efficient way of processing data in real-time at scale. Hazelcast is a real-time distributed computation and storage platform for consistently low latency queries, aggregation, and stateful computation against real-time event streams and traditional data sources. Apache Pulsar is a real-time multitenant geo-replicated distributed pub-sub messaging and streaming platform for real-time workloads, handling millions of events per hour. 

However, real-time stream processing is not an easy task, especially when combining multiple live streams with large volumes of data stored in external data storages to provide context and instant results. When it comes to usage, Hazelcast can be used for the following things:

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