A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

In a graph database, on the other hand, you define whatever vertex types you want to represent your object types, and define edge types to represent particular relationship types. A graph model has ...

the graph model, and the key-value model in one database core with one query language." Today ArangoDB is a US company with a German subsidiary, it has a new chief revenue officer, Matt Ekstrom ...

A graph database is a dynamic database management ... graph databases are designed for data integration, using a standard model for data interchange on the web for scenarios requiring seamless ...

Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has ...

Learn More Real-time database vendor Aerospike is expanding its multi-model capabilities with the launch of the Aerospike Graph database. Aerospike got its start back in 2009, providing a NoSQL ...

RDF is a graph data model that has been around since 1997 ... How do they compare with Neo4j, the most popular graph database out there? Here's a crash test of sorts. Neo4j CEO Emil Eifrem ...

Franz claims its upgraded, flexible architecture makes it the first graph database vendor to release a “multi-model” semantic graph and document database. That, it continues, is important as rigid ...

When Emil Eifrem, founder and CEO of Neo4j, was working for an enterprise content management startup in Sweden in the mid-2000s, he was struggling with the challenge of mapping relationships ...

Markets and Markets anticipates the graph database market will reach $2.4 billion ... sketched what today is known as the property graph model on an airplane napkin during a flight to Mumbai ...