Hadoop 1 Vs Hadoop 2

Apache introduced new version Hadoop 2.x to handle huge and big data to store and process. The following are some differences among features between Hadoop 1.x and Hadoop 2.x

Feature	Hadoop 1 (MapReduce)	Hadoop 2 (YARN)
Scalability	MR has limitations on nodes. It's limited to 4K nodes per cluster	Yet Another Resource Negotiator (YARN) has more scalability compared to MR. YARN's scalability increased up to 10K nodes per cluster.
Single-Point-of-Failure (SPOF)	Single Point of Failure in Hadoop 1.x because of having sole Namenode. If it goes down all running jobs halted.	By having standby Namenode, YARN has overcome SPOF problem. Automatic recovery mechanism there in case of Namenode failure.
MS-Windows	MR does not support MS-Windows.	YARN supports MS-Windows.
Storage	Minimum Block Size is 64 MB	Minimum Block Size is 128 MB
Management	Hadoop 1.x supports only one namespace for managing HDFS filesystem	Hadoop 2.x supports multiple namespaces
Programming Model	Hadoop 1.x supports only one Map Reduce programming model.	Hadoop 2.x supports only one multiple programming models like MR, Spark, Storm etc.

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