Review

Apache Hadoop

Overview

Synopsis

The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models.

Category

Bigdata

Sub Category

Hadoop Platform

PAT Rating™

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Ease of use

8.3

6.0

Features & Functionality

8.3

8.7

Advanced Features

8.3

9.2

Integration

8.3

8.7

Performance

8.3

8.0

Training

7.7

Customer Support

8.3

5.1

Implementation

8.4

Renew & Recommend

8.8

Bottom Line

The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part called MapReduce. Hadoop splits files into large blocks and distributes them across nodes in a cluster.

8.3

Editor Rating

7.8

Aggregated User Rating

4 ratings

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It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The project includes the modules Hadoop Common, Hadoop Distributed File System (HDFS), Hadoop YARN, and Hadoop MapReduce.

Hadoop Common includes the common utilities that support the other Hadoop modules. Hadoop Distributed File System (HDFS) is a distributed file system that provides high-throughput access to application data. Hadoop YARN is a framework for job scheduling and cluster resource management. Hadoop MapReduce is a YARN-based system for parallel processing of large data sets.

Hadoop also includes additional software packages that can be installed on top of or alongside Hadoop, such as Apache Pig, Apache Hive, Apache HBase, Apache Phoenix, Apache Spark, Apache ZooKeeper, Cloudera Impala, Apache Flume, Apache Sqoop, Apache Oozie, Apache Storm.

Hadoop

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