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.

Understanding Authentication and Authorization in Gremlin

Understanding Authentication and Authorization in Gremlin Read More...

Creating Domain-Specific Languages (DSLs) in Gremlin Database

Creating Domain-Specific Languages (DSLs) in Gremlin Database Read More...

Working with Data Loading in the Gremlin Console Environment

Working with Data Loading in the Gremlin Console Environment Read More...

Efficient Graph Cleanup in Gremlin Database Language

Efficient Graph Cleanup in Gremlin Database Language Read More...

Creating Graph Elements with the Gremlin Query Language

Creating Graph Elements with the Gremlin Query Language Read More...

Scroll to Top