The Hadoop Evolution: 2.x vs 3.x, Which One is Right For You?

Hadoop 2.x and Hadoop 3.x are both open-source software platforms for storing and analysing massive volumes of data dispersed across a cluster of computers. However, hadoop 2.x was the previous major version of Hadoop, while Hadoop 3.x is the current major version.

Hadoop 2.x was released in October 2013 and introduced several important new features, including YARN (Yet Another Resource Negotiator), which introduced a new architecture for resource management and scheduling in Hadoop. YARN made it possible to run multiple applications on a Hadoop cluster and use various processing frameworks, including batch processing, stream processing, and interactive processing, on the same cluster.

Hadoop 3. x, released in December 2017, builds on the features introduced in Hadoop 2. x and adds several new features and improvements. 

Some of the notable features of Hadoop 3. x include:

• Support running applications in languages other than Java, such as Python and C++.
• Improved support for running on cloud platforms and in container environments.
• Support for more storage options, including object stores and cloud storage systems.
• Improved support for data security and encryption.
• Better integration with other big data technologies, such as Apache Spark and Apache Hive.

In summary, Hadoop 2.x and Hadoop 3.x are both versions of the Hadoopplatform for storing and processing large amounts of data. Still, Hadoop 3. x includes several new features and improvements over Hadoop 2.x.

Hadoop 3.x was released to address Hadoop 2.x’s drawbacks. Even though the old functionalities are still in use, Hadoop 3.x has incorporated some new functionality.

Differences: 

Mistake Tolerance

• Hadoop 2.x: Replication now takes care of fault tolerance.
• Hadoop 3.x: Erasure coding handles fault tolerance in this version.

Storage Plan

• Utilising a 3X replication method is Hadoop 2.x.
• Uses erasure coding in Hadoop 3.x.

Java Version: 

• Java 7 is the minimal version that Hadoop 2 and Hadoop 3 support.
•  Java 8 is the minimum version that supports these systems.

Equipment prices

• Because of modifications to the fault-tolerance supplying mechanism, Hadoop 3 hardware and cost are significantly less expensive than Hadoop 2. As a result, storing data on disc doesn’t require any additional space in Hadoop 3 version.