Using Multiple Programming Languages with the Gremlin Database
Cross-Platform Gremlin: Writing Graph Queries in Java, Python, and JavaScript […]
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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.
Cross-Platform Gremlin: Writing Graph Queries in Java, Python, and JavaScript […]
Using Multiple Programming Languages with the Gremlin Database Read More...
Gremlin with JanusGraph and DataStax Graph: Best Practices for Scalable
Using DataStaxGraph and JanusGraph with the Gremlin Database Read More...
Gremlin with Azure Cosmos DB: A Developer’s Guide to Graph
Using Azure Cosmos DB with Gremlin Query Language Read More...
Exploring Amazon Neptune with the Gremlin Query Language: A Complete
Exploring Amazon Neptune with the Gremlin Query Language Read More...
Gremlin Query Validation and Logging Explained: Tools, Examples, and Use
Logging and Validation in the Gremlin Database Language Read More...