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 ...

For example, LDBC collaboration has helped drive standardization of the graph data model and query languages. This standardization helps ease the definition of benchmarks and is valuable to users ...

Again, a social network is a useful example. Graph databases reduce the amount of work needed to construct and display the data views found in social networks, such as activity feeds, ...

For example, when mapping the best driving route between two points, a graph database can efficiently process and analyze the various routes, road conditions, and traffic data.

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

Graph databases facilitate discovery and analysis closely connected facts. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

Social graphs are a prime example of utilizing the graph model, Xu was working at Twitter till 2011, and the graph databases that were around at the time could not cope.

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

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 ...

Graph database startup TigerGraph Inc. today announced a major update to its flagship cloud platform with the ... As an example, a sales database might need to specify which store each sale took ...