- Published on May 7, 2019
- In Deep Tech
Hive v/s Pig: Comparing The Two Principal Components Of Hadoop Ecosystem
- By Ambika Choudhury
Apache Pig and Apache Hive are the two key components of the Hadoop ecosystem. Both the tools are open-sourced and run on the top of MapReduce. In this article, we list down the comparisons between the two components.
1| Definition
Apache Pig is a platform for analyzing large data sets which consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. Pig's infrastructure layer consists of a compiler that produces sequences of Map-Reduce programs, for which large-scale parallel implementations already exist (e.g., the Hadoop subproject). It is released under the Apache 2.0 license.
Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Hive comes with built-in connectors for comma
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Ambika Choudhury
A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.
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