One of the most significant differences between the two systems is that HiveQL manages the data structure while SQL manages relational data. This is the fundamental difference between HiveQL and SQL. You can check out the detailed information on HiveQL Vs SQL below.
What is SQL?
A programming language for managing data and/or processing data stream is called structured query language(SQL). It mainly handles real-time data processing and data management for relational database management systems. SQL is comparable to HiveQL for the purposes of this review. SQL is a declarative language for analytical queries that was created by Oracle. More recent than Hive, it. Over the past 45 years, SQL has become a mainstay in many IT systems.
What is HiveQL?
Using the Hive Query Language (HiveQL). structured data in a meta store can be processed and analyzed. it combines Oracles SQL, My SQL, and SQL-92. It is extremely scalable and very similar to SQL. To make learning easier, it recycles well-known relational database terminology, such as tables, rows, columns, and schema. The four file types that hive supports are TEXT FILE, SEQUENCE FILE, ORC FILE, And RC FILE.
HiveQL Vs SQL | Difference between HiveQL and SQL
- Both SQL and Hive QL update commands are UPDATE, DELETE, And INSERT in the table structure
- HiveQL manages the data structure, while SQL manages relational data.
- HiveQL is limited support supported, while SQL is transaction supported.
- Both Hive QL and SQL indexes are supported.
- Both Hive QL and SQL have hundreds of built-in functions.
- Mapreduce is supported in HiveQL, while SQL is not supported in Mapreduce.
- HiveQl contains Boolean, Integral, floating point, fixed-point, timestamp, date, text and binary strings, temporal, array, map, struct, and union. While In SQL contain a total of five data types, integral, floating point, fixed point, text, and binary string, temporal.
- Multiple inserts in the table are supported in HiveQL, While multiple inserts in the table are not supported.
- HiveQL is supported with a SORT BY clause for partial ordering and LIMIT to restrict the number of rows returned. The Select command is supported in SQL.
- Hive QL is inner joins, outer joins, semi joins, map joins, and cross joins. However, SQL is supported in joins.
- Hive QL has only used subqueries in FROM, WHERE, or HAVING clauses. While SQL is supported by subqueries
- HiveSQL is viewing only for read-only and SQL can be updated views.
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