PIG: PIG is basically referred to as the data flow language that is responsible for managing the data flow from one source to another. It is also responsible for managing the data storage system and also helps in compressing the storage systems. Pig is capable of rearranging the steps for faster and better processing. The output data of the MapReduce job will be managed by PIG. Some of the functions of MapReduce processing can also be added in the processing of PIG. The functions can either include grouping, ordering, and counting data.
MapReduce: MapReduce is considered one of the frameworks which are used for writing the code for the developers. This is a data processing paradigm that separates the application of two types of developers, one who is responsible for writing it and another who is responsible for scaling it.
