Java + Redis vs. simple Java performance for data intensive applications?

Does using Redis with Java help develop data intensive applications (like data-mining) in Java?

Does it work faster or consume less memory compared to simple Java for similar work with a large amount of data?

Edit: My question is mainly related to running on the same machine. For example, to work with a large number of lists / sets / maps and query and sort.

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Redis, , , Java . , , . , , . , . , Hadoop MapReduce , .

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