Hadoop vs spark
Hadoop vs. Spark outline
Upon 1st look, it appears that exploitation Spark would be the default alternative for any huge information application. However, that’s not the case. MapReduce has created inroads into the massive information marketplace for businesses that require vast datasets brought in restraint by goods systems. Spark’s speed, agility, and relative easy use area unit excellent enhances to MapReduce’s low price of operation.
The truth is that Spark and MapReduce have a dependent relationship with one another. Hadoop provides options that Spark doesn’t possess, like a distributed classification system and Spark provides period of time, in-memory process for those information sets that need it. the right huge information situation is precisely because the designers intended—for Hadoop and Spark to figure along on a similar team.