Difference between MapReduce and Pig Last Updated : 23 Jul, 2025 Suggest changes Share 1 Likes Like Report MapReduce is a model that works over Hadoop to access big data efficiently stored in HDFS (Hadoop Distributed File System). It is the core component of Hadoop, which divides the big data into small chunks and process them parallelly. Features of MapReduce: It can store and distribute huge data across various servers.Allows users to store data in a map and reduce form to get processed.It protects the system to get any unauthorized access.It supports the parallel processing model. Pig is an open-source tool that is built on the Hadoop ecosystem for providing better processing of Big data. It is SQL-like language .It is a high-level scripting language that is commonly known as Pig Latin scripts. Pig scripts enables to create user defined functions for analyzing and processing data. It works on the HDFS (Hadoop Distributed File System), which supports the use of various types of data. MapReduce tasks can be performed easily by using Pig even without having good knowledge of Java. Features of Pig: It allows the user to create custom user-defined functions.It is extensible to use.Supports a variety of data types such as char long float schema, and functions.Provides different operations on HDFS such as GROUP, FILTER, JOIN, SORT.Difference between MapReduce and Pig: S.NoMapReduce Pig 1.It is a Data Processing Language.It is a Data Flow Language.2.It converts the job into map-reduce functions.It converts the query into map-reduce functions.3.It is a Low-level Language.It is a High-level Language4.It is difficult for the user to perform join operations.Makes it easy for the user to perform Join operations.5.The user has to write 10 times more lines of code to perform a similar task than Pig.The user has to write fewer lines of code because it supports the multi-query approach.6.It has several jobs therefore execution time is more.It is less compilation time as the Pig operator converts it into MapReduce jobs.7.It is supported by recent versions of the Hadoop.It is supported with all versions of Hadoop. M manmeetjuneja5 Follow 1 Article Tags : Difference Between Hadoop DSA Apache Pig MapReduce +1 More Explore DSA FundamentalsLogic Building Problems 2 min read Analysis of Algorithms 1 min read Data StructuresArray Data Structure 3 min read String in Data Structure 2 min read Hashing in Data Structure 2 min read Linked List Data Structure 2 min read Stack Data Structure 2 min read Queue Data Structure 2 min read Tree Data Structure 2 min read Graph Data Structure 3 min read Trie Data Structure 15+ min read AlgorithmsSearching Algorithms 2 min read Sorting Algorithms 3 min read Introduction to Recursion 15 min read Greedy Algorithms 3 min read Graph Algorithms 3 min read Dynamic Programming or DP 3 min read Bitwise Algorithms 4 min read AdvancedSegment Tree 2 min read Binary Indexed Tree or Fenwick Tree 15 min read Square Root (Sqrt) Decomposition Algorithm 15+ min read Binary Lifting 15+ min read Geometry 2 min read Interview PreparationInterview Corner 3 min read GfG160 3 min read Practice ProblemGeeksforGeeks Practice - Leading Online Coding Platform 6 min read Problem of The Day - Develop the Habit of Coding 5 min read My Profile ${profileImgHtml} My Profile Edit Profile My Courses Join Community Transactions Logout Like