Abstract
In the recent era data has been growing at an exponential rate. This data can be either Structured or Semi-Structured or Unstructured and needs to be processed and analyzed carefully to get new insights. There are various tools or frameworks available for this purpose; few of them are Apache Hadoop MapReduce, Apache Pig,Apache Hive, Apache Spark,Tez etc. These tools are widely adopted for managing and processing BigData. Hadoop MapReduce provides low level of abstraction whereas Pig provides high level of abstraction. In this paper, we discuss the major architectural component differences between MapReduce and Pig and conduct detailed experiments to compare their performances with different inputs.
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