Modern Big Data Processing with Hadoop

Differences between Hive and HBase

HBase is a database management system; it supports both transaction processing and analytical processing. Hive is a data warehouse system, which can be used only for analytical processing. HBase supports low latency and random data access operations. Hive only supports batch processing, which leads to high latency. HBase does not support any SQL interface to interact with the table data. You may have to write Java code to read and write data to HBase tables. At times, Java code becomes very complex to process data sets involving joins of multiple data sets. But Hive supports very easy access with SQL, which makes it very easy to read and write data to its tables. In HBase, data modeling involves flexible ...