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 ...

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.

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 ...

a database that represents data natively in graph schema will be required. With the company's San Diego R&D center and lead executive in place, we asked what's next on their agenda. At the top of ...

GraphStudio can map data stored in local files into the graph schema, using a drag-and-drop GUI. The same ease of use is now available for AWS users who have data in their S3 files. Native S3 ...

Neo Technology, the commercial sponsor of the Neo4j open-source NoSQL graph database implemented in Java, on Tuesday announced the general availability of Neo4j 2.0. This release adds a new schema ...

The Semantic Publishing Benchmark uses an older web data schema called RDF. It is based on a use case from the BBC, an early adopter of RDF. “Most graph system growth has been around the ...

it’s based on an object-oriented data model with a strict graph schema and modern query language to ensure ease of use. As the company explains, the main aim of EdgeDB is to solve the hard ...

Graph databases and graph-oriented databases leverage ... a flexible property graph schema that adapts over time, and drivers for popular programming languages like JavaScript, .NET, Go, and ...

As mentioned earlier, you can use schema markup to develop a semantic data layer, also known as a content knowledge graph. This can be useful for your innovation or AI governance team as they ...