SQL, in and of itself, however, can’t be this language, because not all graph technology is tied to relational systems or tables. Not to draw on an overused allegory, but the problem with not ...

Yet those fluent in SQL needn’t feel left out ... and the ability to handle large quantities of data efficiently make graph databases an ideal fit for artificial intelligence AI and machine ...

and their advantage over SQL databases increases with the complexity of the query. Graph databases, which have become more popular in the last decade, are often used in apps that make ...

Put that together and we have a GQL at least as good as SQL’s first implementation – and we need to find a way to make that happen. Many graph database practitioners have, I believe ...

Piece of cake. SQL Server developers can simply specify the AS NODE or AS EDGE keywords in their CREATE TABLE commands when building tables that will store graph entities. When querying any such ...

timbr employs standard SQL – the most widely known database language, to provide knowledge graph functionality based ... intelligence solutions to make complex analytics accessible to users ...

BOSTON--(BUSINESS WIRE)--Cambridge Semantics and CData Software today announced a technology partnership to provide SQL query access to a code-free, graph-based, big data management and analytics ...

This is a classic graph application. Have you considered a graph database? If you're looking at n-degree path calculations, SQL based products will not perform. Richard Berg[/url]":2e9alpup]I don ...

It also integrates with Azure, so that developers can create Graph Engine applications in VS and deploy to Azure. Because it's seemingly still a Microsoft Research project, there are no guarantees ...