Over time, most likely, graph databases will become as commonplace as relational databases are today. Allied to this is the rise of graph data query languages like Cypher, which was recently made ...

The foundation of graph databases actually predates the relational model. Early enterprise stalwarts such as IBM’s IMS employed hierarchical structures called B-trees that mimicked the ...

Graph technology is well on its way from a fringe domain to going mainstream. We take a look at the state of the union in graph, featuring Neo4j's latest release and insights as well as data and ...

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

For years, developers have used GraphQL to build a layer on top of relational databases that fetches data and puts it into a graph format that is used to populate applications.

While relational databases remained strong, the 2000s saw the emergence of XML databases, and NoSQL, the idea that databases didn't need to be structured in a purely tabular form, began to get hot.

Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from exper ...

Graph-relational database developer EdgeDB Inc. is gearing up for prime time after closing on a $15 million early-stage round of funding ahead of its official launch early next year.

Like other graph database makers, vesoft has its own variant of a graph query language, called nGQL, which is SQL-like with graph principles added to it. (There is not, as yet, a standard GQL as there ...