differences between Hadoop 1x, Hadoop 2x, Hadoop 3x:

FeatureHadoop 1Hadoop 2Hadoop 3
NameNodeSingle point of failureMultiple NameNodes, active-standbyMultiple NameNodes, active-active
Secondary NameNodeNot requiredRequiredNot required
JobTrackerSingle point of failureResource ManagerResource Manager
TaskTrackerSingle point of failureNodeManagerNodeManager
MapReduceOnly supported programming modelSupports multiple programming models, including MapReduce, Spark, and TezSupports multiple programming models, including MapReduce, Spark, Tez, and Beam
HDFSSupports only one namespaceSupports multiple namespacesSupports multiple namespaces
ScalabilityLimited to 4,000 nodesScalable to 10,000 nodesScalable to more than 10,000 nodes
SecurityNot a primary focusSecurity is a primary focusSecurity is a primary focus

Hadoop 3 is the latest version of Hadoop and it includes many new features and improvements over Hadoop 1 and Hadoop 2. Some of the key features of Hadoop 3 include:

  • Multiple NameNodes, active-active: This provides high availability for the NameNode.
  • Not requiring a Secondary NameNode: This reduces the overhead of running a Hadoop cluster.
  • Multiple Resource Managers: This allows for better scalability and load balancing.
  • Multiple NodeManagers: This allows for better scalability and load balancing.
  • Support for multiple programming models: This makes Hadoop more versatile and allows it to be used for a wider range of applications.
  • Support for multiple namespaces: This allows for better organization and management of data.
  • Improved scalability: Hadoop 3 can scale to more than 10,000 nodes.
  • Improved security: Hadoop 3 has a number of security enhancements, including support for Kerberos authentication.
  • Extensive support: Hadoop 3 has a large and active community that provides support for users and developers.

If you are considering using Hadoop, I recommend using Hadoop 3. It is the most mature and feature-rich version of Hadoop.

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