It can be used to query within or across documents using relational operators, supports business logic and dynamically constructs JavaScript Object Notation-like result shapes that map to what the ...

ReadySet, a startup developing technology to speed up access to app data in relational databases, has raised $29 million in venture funding.

Post-relational systems push their equivalent of the Join, called a Translate, into the schema, making it easier to write queries and more difficult to incorrectly associate data due to poor ...

Routine queries to a relational database often require data from more than one file. For example, to obtain the names of customers who purchased a particular product, data must be extracted from ...

Learn about and revise the topics of relational databases and structured query language (SQL) with this BBC Bitesize GCSE Computer Science AQA study guide.

So what are the emerging use cases of these new capabilities? Here’s how five industries are taking advantage of graph databases’ extremely fast relational query performance across distributed ...

If the history of relational databases is any indication, what is going on in graph databases right now may be history in the making.

Relational database limitations Relational databases are still going strong, and still need powerful server hardware. For really big data under heavy use, however, relational queries tend to slow ...

Unified workflows – GQL queries integrate effortlessly with Siren’s relational search capabilities across structured, unstructured, and open-source data.