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Comparative Analysis of MapReduce, Hive and Pig


Affiliations
1 Computer Science and Engineering, Giani Zail Singh Campus CET, Bhatinda, India
 

The size of data being handled by many applications is becoming alarmingly large and unmanageable by conventional database management techniques. This paper leverages the comparative study of Hadoop's programming paradigm (Map reduce) and Hadoop's ecosystems Hive and Pig. The processing time of map reduce, hive and pig is implemented on a data set with simple queries. It is observed that Pig processes the data in shorter time as compared with Map reduce and Hive. It is not necessary that only Pig is useful other techniques are also useful under different constraints.

Keywords

Map Reduce, Hadoop, Hive, Hive Server2, Thrift Server, Pig, Pig-Latin.
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  • Comparative Analysis of MapReduce, Hive and Pig

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Authors

Sunny Kumar
Computer Science and Engineering, Giani Zail Singh Campus CET, Bhatinda, India
Eesha Goel
Computer Science and Engineering, Giani Zail Singh Campus CET, Bhatinda, India

Abstract


The size of data being handled by many applications is becoming alarmingly large and unmanageable by conventional database management techniques. This paper leverages the comparative study of Hadoop's programming paradigm (Map reduce) and Hadoop's ecosystems Hive and Pig. The processing time of map reduce, hive and pig is implemented on a data set with simple queries. It is observed that Pig processes the data in shorter time as compared with Map reduce and Hive. It is not necessary that only Pig is useful other techniques are also useful under different constraints.

Keywords


Map Reduce, Hadoop, Hive, Hive Server2, Thrift Server, Pig, Pig-Latin.