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

Better, Faster Queries and Analytics: Graph databases offer superior performance for querying related data, big or small. The graph model offers an inherent indexed data structure, so it never needs ...

What Is a Graph Database? Use Cases, Benefits and More Your email has been sent Efficient relationship processing. Flexibility and agility. Intuitive data modeling. Optimized for complex operations.

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 ...

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 ...

Designed for working with highly interconnected data, a graph database might be described ... freeform text, etc.). This model works best when you’re dealing mainly with data from any one ...

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 ...

For sure, RDF/graph databases are not ubiquitous like relational ... In relational, you operate with the physical data model instead of the logical model like in RDF. Still, this key advantage ...

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 ...

The graph database was originally designed to store ... the world is much like finding a path in an abstract graph that’s modeling the roads. If the intersections are nodes, and the streets ...