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 ...

While relational databases use primary and foreign keys and queries to relate information elements to one another, graph databases show explicit relationships. As a result, graph databases naturally ...

"Graph databases offer a data model that allows for the expression of connections in a very robust fashion," Eifrem said. "Relationships in the graph data model are first class citizens. That is not ...

A semantic graph database technology vendor is supporting a key specification designed to validate graph-based data against a set of conditions that specify the “shape” of data. The goal is a more ...

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

Graph databases are a key ingredient in the secret development sauce that makes mega-websites such as Facebook, Google, LinkedIn and others like them work so fast and accurately.

The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use.

RDF is a graph data model that has been around since 1997. It's a W3C standard, and it's used to power schema.org and Open Graph, among other things. Plus, there's a bunch of RDF-based graph ...

One of the best-known graph databases is Neo4j, which recently announced support for the enterprise version of its cloud-hosted service, Aura, on Azure.Available in the Azure Marketplace, it’s a ...

We had a chance to speak with TigerGraph's incoming head of product R&D, and it spurred some thoughts on where we thought graph databases should go.