Need Tight integration with Apache Impala, making it a good, mutable alternative to using HDFS with Apache Parquet. High availability like other Big Data technologies. Structured Data Model. Unlike Hadoop- which is Schema on Read, Kudu is Schema on write. That is following should be known before hand, - Primary key, Data Types of columns Partition columns, etc. It is considered as bridging gap between Hive & HBase. Can integrate with Hive Meta store. Note Following document is prepared – Not considering any future Cloudera Distribution Upgrades. Considering, we have 2.2.0.cloudera2, Hive 1.1.0-cdh5.12.2, Hadoop 2.6.0-cdh5.12.2 Kudu is just supported by Cloudera. So, we consider that, we will have an ongoing Cloudera Cluster. Kudu is considered good for – Reporting applications where new data must be immediately available for end users. Time-series applications that must support queries across large amounts of historic data while simult...