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Is there a difference between hadoop 2 and hadoop 3?


Asked by Major Guzman on Dec 04, 2021 Hadoop



Hadoop 3 version was released on 2017 and comes with some new features to override the drawbacks in hadoop 2 version. In this article we can learn what are the major and minor difference between hadoop 2 and hadoop 3 versions.
And,
Obviously, Hadoop 3.x has some more advanced and compatible features than the older versions of Hadoop 2.x. Apache 2.0 is used for licensing which is open-source. Apache 2.0 is used for licensing which is open-source. JAVA 7 is the minimum compatible version.
Similarly, Limitations: Hadoop 1 is a Master-Slave architecture. It consists of a single master and multiple slaves. Suppose if master node got crashed then irrespective of your best slave nodes, your cluster will be destroyed.
Also Know,
The release of Hadoop 3 in December 2017 marked the beginning of a new era for data science. The Hadoop framework is at the core of the entire Hadoop ecosystem, and various other libraries strongly depend on it. In this article, we will discuss the major changes in Hadoop 3 when compared to Hadoop 2.
Also,
Hadoop 2 uses YARN version 1. YARN (Yet Another Resource Negotiator) is the resource manager. It manages the available resources (CPU, memory, disk). Besides, YARN performs Jobs Scheduling. YARN was updated to version 2 in Hadoop 3.