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 ...

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 ...

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 ...

and not all data scientists have had access to the Cypher graph database query language. Executives at graph company Neo4j are looking to change that. At the GraphConnect New York show this week, ...

Amazon’s Neptune is a distributed graph database that’s optimized for very large datasets and fast response times. It works with two popular query languages (TinkerPop and SparQL). It is fully ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In recent years, knowledge graphs have become an important tool for ...

The Graph does something different ... Just let that sink in for a moment: No query language. Imagine a database with no query language! How would you ever get what you need out of it?

Graph databases have unique storage requirements and query languages that aren’t compatible with relational models, though, and those factors have held back wider adoption. That’s one of the ...