Like other NoSQL databases, a graph database is schema-less. Thus, in terms of performance and flexibility, graph databases hew closer to document databases or key-value stores than they do ...

The implications across industries are tremendous. Graph databases are gaining in popularity for a variety of reasons. Many are schema-less allowing you to manage your data more efficiently.

Defining graph schema and queries with Gremlin Let’s take a look at how to get started using a graph database using a real example, the recommender system we recently added to KillrVideo.

Flexibility for Evolving Data Structures: Graph databases feature flexible schema evolution. Users can continually add or drop new vertex / edge types and attributes, extending or shrinking the data ...

It's a W3C standard, and it's used to power schema.org and Open Graph ... knowledge in Wikipedia is less than 800 million facts, and that is really a lot of data. GraphDB data are used as a ...

“Knowledge graphs require a graph database to provide the data container, but they augment the database with semantic schema in the form of ontologies and taxonomies. The semantic schema supports ...