Big Data Analytics with Hadoop 3
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Enhancing scalability and reliability

Version 2 adopts a more scalable distributed writer architecture and backend storage, as opposed to v.1 which does not scale well beyond small clusters as it used a single instance of writer/reader architecture and backend storage.

Since Apache HBase scales well even to larger clusters and continues to maintain a good read and write response time, v.2 prefers to select it as the primary backend storage.