Category Home » Database Languages » Page 2

Database Languages

Database languages are specialized programming languages used to define, manipulate, retrieve, and manage data in databases. They play a crucial role in database management systems (DBMS) by enabling users to interact with structured and unstructured data efficiently.

This category covers various database languages, including:

SQL-Based Languages – Standard languages used for relational databases, such as SQL, MySQL, PostgreSQL, PL/SQL, and T-SQL.

NoSQL Query Languages – Languages designed for non-relational databases like MongoDB Query Language (MQL) and Cassandra Query Language (CQL).

Data Definition Languages (DDL) – Used to define database schemas and structures.

Data Manipulation Languages (DML) – Used to insert, update, delete, and retrieve data.

Procedural & Scripting Languages – Such as PL/SQL and T-SQL, which add procedural capabilities to SQL.

Explore this category to understand different database languages, their syntax, and best practices for managing data effectively.

Mastering The Google BigQuery Query Language

Mastering The Google BigQuery Query Language Read More...

Understanding Traversal Translation and Execution in Gremlin

Understanding Traversal Translation and Execution in Gremlin Read More...

Best Practices in the Gremlin Query Database Language

Best Practices in the Gremlin Query Database Language Read More...

Using Groovy and Java Script Engines with the Gremlin Database

Using Groovy and Java Script Engines with the Gremlin Database Read More...

Migration Patterns in the Gremlin Query Database Language

Migration Patterns in the Gremlin Query Database Language Read More...

Scroll to Top