Difference between SQL and HiveQL Last Updated : 24 Nov, 2022 Comments Improve Suggest changes Like Article Like Report 1. Structured Query Language (SQL): SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system also known as RDBMS. It is also useful in handling structured data, i.e., data incorporating relations among entities and variables. SQL is a standard language for storing, manipulating, and retrieving data in databases. 2. Hive Query Language (HiveQL): HiveQL is a query language for Hive to analyze and process structured data in a Meta-store. It is a mixture of SQL-92, MySQL, and Oracle’s SQL. It is very much similar to SQL and highly scalable. It reuses familiar concepts from the relational database world, such as tables, rows, columns and schema, to ease learning. Hive supports four file formats those are TEXT FILE, SEQUENCE FILE, ORC and RC FILE (Record Columnar File). Differences between SQL and HiveQL is as follows: On the basis of SQLHiveQLUpdate-commands in table structureUPDATE, DELETE INSERT,UPDATE, DELETE INSERT,ManagesRelational dataData StructuresTransactionSupportedLimited Support SupportedIndexesSupportedSupportedData TypesIt contain a total of five data types i.e., Integral, floating-point, fixed-point, text and binary strings, temporalIt contains Boolean, integral, floating-point, fixed-point, timestamp(nanosecond precision) , Date, text and binary strings, temporal, array, map, struct, UnionFunctionsHundreds of built-in functionsHundreds of built-in functionsMapreduceNot SupportedSupportedMultitable inserts in tableNot supportedSupportedCreate table...as SelectNot supportedSupportedSelect commandSupportedSupported with SORT BY clause for partial ordering and LIMIT to restrict number of rows returnedJoinsSupportedInner joins, outer joins, semi join, map joins, cross joinsSubqueriesSupportedOnly Used in FROM, WHERE, or HAVING clausesViewsCan be UpdatedRead-only i.e. cannot be updated Comment More infoAdvertise with us Next Article Difference between SQL and HiveQL S satyamchau456 Follow Improve Article Tags : Compiler Design Computer Networks Computer Organization & Architecture DBMS Engineering Mathematics Operating Systems Difference Between SQL Theory of Computation Software Engineering Digital Logic DBMS-SQL BigData Apache +10 More Similar Reads Difference between SQL and T-SQL SQL (Structured Query Language) is the standard language for managing and manipulating relational databases, enabling operations like querying, updating, and deleting data. T-SQL (Transact-SQL), an extension of SQL developed by Microsoft, adds advanced features and procedural capabilities specifical 4 min read Difference between SQL and PLSQL Introduction SQL: Structured Query Language (SQL) is a standard Database language that is used to create, maintain and retrieve the relational database. The advantages of SQL are: SQL could be a high-level language that has a larger degree of abstraction than procedural languages.It enables the syst 3 min read Difference between RDBMS and Hive RDBMS and Hivey are both strong tools for organizing and accessing data, Relational Database Management Systems (RDBMS) and Apache Hive are designed for distinct use cases and goals. Hive is intended to manage large-scale data analytics and querying on top of the Hadoop environment, while RDBMS is g 4 min read Difference between Pig and Hive 1. Pig : Pig is used for the analysis of a large amount of data. It is abstract over MapReduce. Pig is used to perform all kinds of data manipulation operations in Hadoop. It provides the Pig-Latin language to write the code that contains many inbuilt functions like join, filter, etc. The two parts 2 min read Difference Between Hive and Hue To process and analyze big data, organizations use Hadoop, an open-source framework that handles vast amounts of structured and unstructured data. Within the Hadoop ecosystem, Hive and Hue serve different purposes. Hive is a data warehouse tool that enables users to run SQL-like queries on large dat 5 min read Like