Since past few versions, Java has started giving importance to concurrency. Java 8 goes one more step ahead and has developed a Streams API which lets us think about parallelism. Nowadays, because of the tremendous amount of development on the hardware front, multicore CPUs are becoming more and more general. In order to leverage the hardware capabilities Java had introduced Fork Join Framework. Java 8 Streams API supports many parallel operations to process the data,
Streams support Aggregate Operations. The common aggregate operations are filter, map, reduce, find, match, sort. These operations can be executed in series or in parallel.
The Streams also support Pipelining and Internal Iterations.
Java 8 Stream operations has methods like foreach, map, filter, etc. which internally iterates through the elements.
Read full article from Understanding Java 8 Streams API | Javalobby
Collections vs Streams
Collections are in-memory data structures which hold elements within it. Each element in the collection is computed before it actually becomes a part of that collection. On the other hand Streams are fixed data structures which computes the elements on-demand basis.Streams support Aggregate Operations. The common aggregate operations are filter, map, reduce, find, match, sort. These operations can be executed in series or in parallel.
The Streams also support Pipelining and Internal Iterations.
Java 8 Stream operations has methods like foreach, map, filter, etc. which internally iterates through the elements.
Read full article from Understanding Java 8 Streams API | Javalobby
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