A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

These are important features to consider for using any graph query language. The success of SQL for relational database programming is largely attributed to data independence. This is where a ...

The gist of what's going on is that we have a war for graph database domination, and query language is a key battle to be won. SQL did not arrive at universal adoption overnight. If there is a ...

Graph databases—like other NoSQL databases—typically use their own custom query methodology instead of SQL. One commonly used graph query language is Cypher, originally developed for the Neo4j ...

the leader in graph databases, announced today that the international committees that develop the SQL standard have voted to initiate GQL (Graph Query Language) as a new database query language.

Learn how GraphRAG transforms unstructured text into structured data, revolutionizing AI retrieval with deeper insights and ...

This greatly facilitates storage and retrieval, as graph databases offer specialized structures, APIs, and query languages tailored for graphs. In addition, many graph databases today offer a lot ...

The International Standards Organization’s publication of a standard for the Graph Query Language earlier this month generated relatively little media interest, but executives at graph database ...

But the option opens up the data stream to elaborate transformations that go well beyond what is possible with SQL. Graph Query Language, or GQL, is a proposed standard that merges similar ...