It uses HQL (Hive Query Language) for query processing. Hive queries run using JDBC/ODBC drivers. Hive uses HDFS for data storage.SQL: SQL (Structured Query Language) is a programming language primarily used for relational database systems, data creation and manipulation. Relational database increases the efficiency of database management. Hive is different from SQL: Hive uses HQL which is similar to SQL but with some differences. Hive does not support row-level create, delete, and update functions. This doesn't work for transactions due to real-time queries, whereas it does in SQL. Hive is not compared to relational databases (RDBMS). Hive increases Hadoop performance by improving extensions. Batch processing of data can easily be done using Hive. Hive is mainly used for time-consuming large data analyses, while SQL is easier for smaller data analyses. Hive is read based while SQL is write based. Define a table using Hive: Hive uses Data Definition Language statements, in which it contains keywords, non-keywords, reserved keywords to define a table. Define a table using Hive: describe ; Hive table creation and