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Difference between pig vs hive vs sql

Pig Hive Sql
Apache Pig also allows developers
to follow multiple query approach,
which reduces the data scan
iterations.		 Hive statements are similar to
Structured Query Language (SQL)
and limitations of Hive Query
Language(HQL) in terms of
the commands that it
understands, it is still very useful.		 Structured Query Language has been a programmer’s companion for decades. It was the real solution for extractingdata for further processing.
PigLatin is procedural to a
large extent.		 Hive is built with an analytical focus. Structured Query Language is Informative.
Pig requires that programmers
to learn something on top of
structured query language(SQL).		 Hive provides an open source
implementation of MapReduce.		 Structured Query Language demand of storing data
in a strict relational database
schemas and its declarative nature often deflects
focus from the ultimate purpose to extract data for analysis.
It offers a number of advantages
in terms of declaring execution plans
Extract, transform, load(ETL)
routines and pipeline modification.		 Hive lacks update and delete
functions but is superfast in reading
and processing huge volumes of data
faster than SQL.		 The DBMS systems that SQL operates on,
are considered to be faster than MapReduce.
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