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Query language

What is a query language?

A query language is a specialized programming language for searching and changing the contents of a database. Even though the term originally refers to a sublanguage for only searching (querying) the contents of a database, modern query languages such as SQL are general languages for interacting with the DBMS, including statements for defining and changing the database schema, populating the contents of the database, searching the contents of the database, updating the contents of the database, defining integrity constraints over the database, defining stored procedures, defining authorization rules, defining triggers, etc. 

The data definition statements of a query language provide primitives for defining and changing the database schema, while data manipulation statements allow populating, querying, as well as updating the database. Queries are usually expressed declaratively without side effects using logical conditions.

How are query languages different from data query languages?

Data Query Language (DQL) is part of the base grouping of SQL sub-languages. These sub-languages are mainly categorized into four categories: a data query language (DQL), a data definition language (DDL), a data control language (DCL), and a data manipulation language (DML). Sometimes a transaction control language (TCL) is argued to be part of the sub-language set as well.

DQL statements are used for performing queries on the data within schema objects. The purpose of DQL commands is to get the schema relation based on the query passed to it.

Although often considered part of DML, the SQL SELECT statement is strictly speaking an example of DQL. When adding FROM or WHERE data manipulators to the SELECT statement the statement is then considered part of the DML.

What are query languages primarily used for?

Query language is primarily created for creating, accessing and modifying data in and out from a database management system (DBMS). Typically, QL requires users to input a structured command that is similar and close to the English language querying construct.

For example, the SQL query: SELECT * FROM

The customer will retrieve all data from the customer records/table.

The simple programming context makes it one of the easiest programming languages to learn. There are several different variants of QL and it has wide implementation in various database-centered services such as extracting data from deductive and OLAP databases, providing API based access to remote applications and services and more.

What are the most popular query languages?

  • DMX is a query language for data mining models;
  • Datalog is a query language for deductive databases;
  • Discovery Query Language is a query language for accessing Watson Discovery Services on IBM Cloud;
  • GraphQL is a data query language developed by Facebook as an alternate to REST and ad-hoc web service architectures.
  • MQL is a cheminformatics query language for a substructure search allowing beside nominal properties also numerical properties;
  • OQL is Object Query Language;
  • SQL is a well known query language and data manipulation language for relational databases;
  • SuprTool is a proprietary query language for SuprTool, a database access program used for accessing data in Image/SQL (formerly TurboIMAGE) and Oracle databases;
  • Tutorial D is a query language for truly relational database management systems (TRDBMS);
  • U-SQL is a data processing language invented at Microsoft;
  • XQuery is a query language for XML data sources;
  • YQL is an SQL-like query language created by Yahoo!
  • Search engine query languages, e.g., as used by Google or Bing

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Query language

October 14, 2020

Table of contents

Key takeawaysCollaboration platforms are essential to the new way of workingEmployees prefer engati over emailEmployees play a growing part in software purchasing decisionsThe future of work is collaborativeMethodology

What is a query language?

A query language is a specialized programming language for searching and changing the contents of a database. Even though the term originally refers to a sublanguage for only searching (querying) the contents of a database, modern query languages such as SQL are general languages for interacting with the DBMS, including statements for defining and changing the database schema, populating the contents of the database, searching the contents of the database, updating the contents of the database, defining integrity constraints over the database, defining stored procedures, defining authorization rules, defining triggers, etc. 

The data definition statements of a query language provide primitives for defining and changing the database schema, while data manipulation statements allow populating, querying, as well as updating the database. Queries are usually expressed declaratively without side effects using logical conditions.

How are query languages different from data query languages?

Data Query Language (DQL) is part of the base grouping of SQL sub-languages. These sub-languages are mainly categorized into four categories: a data query language (DQL), a data definition language (DDL), a data control language (DCL), and a data manipulation language (DML). Sometimes a transaction control language (TCL) is argued to be part of the sub-language set as well.

DQL statements are used for performing queries on the data within schema objects. The purpose of DQL commands is to get the schema relation based on the query passed to it.

Although often considered part of DML, the SQL SELECT statement is strictly speaking an example of DQL. When adding FROM or WHERE data manipulators to the SELECT statement the statement is then considered part of the DML.

What are query languages primarily used for?

Query language is primarily created for creating, accessing and modifying data in and out from a database management system (DBMS). Typically, QL requires users to input a structured command that is similar and close to the English language querying construct.

For example, the SQL query: SELECT * FROM

The customer will retrieve all data from the customer records/table.

The simple programming context makes it one of the easiest programming languages to learn. There are several different variants of QL and it has wide implementation in various database-centered services such as extracting data from deductive and OLAP databases, providing API based access to remote applications and services and more.

What are the most popular query languages?

  • DMX is a query language for data mining models;
  • Datalog is a query language for deductive databases;
  • Discovery Query Language is a query language for accessing Watson Discovery Services on IBM Cloud;
  • GraphQL is a data query language developed by Facebook as an alternate to REST and ad-hoc web service architectures.
  • MQL is a cheminformatics query language for a substructure search allowing beside nominal properties also numerical properties;
  • OQL is Object Query Language;
  • SQL is a well known query language and data manipulation language for relational databases;
  • SuprTool is a proprietary query language for SuprTool, a database access program used for accessing data in Image/SQL (formerly TurboIMAGE) and Oracle databases;
  • Tutorial D is a query language for truly relational database management systems (TRDBMS);
  • U-SQL is a data processing language invented at Microsoft;
  • XQuery is a query language for XML data sources;
  • YQL is an SQL-like query language created by Yahoo!
  • Search engine query languages, e.g., as used by Google or Bing

Thanks for reading! We hope you found this helpful.

Ready to level-up your business? Click here

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