I wanted to understand why more organizations aren’t considering graph databases. Developers think in objects and use hierarchical data representations in XML and JSON regularly.

Why you should use a graph database. how-to. Jan 31, 2018 11 mins. Databases Graph Databases NoSQL Databases. Graph databases excel for apps that explore many-to-many relationships, such as ...

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 will graduate from powering early adopter use cases for digital communities to the mainstream of enterprise and consumer applications.” Daniel Gutierrez , InsideBigData: ...

Forrester Research has reported that graph databases — the fastest-growing category in database management systems — will reach more than 25 percent of enterprises by 2017. Graph databases are ...

While graph databases may not fit every project, they’re great in their niche, and that niche is on the rise. You’ll be hearing more about them, and perhaps even using them yourself, in the ...

This is a guest blogpost by Neo4j co-founder and CEO Emil Eifrem, who explains why his sector needs its own ‘General Query Language’. In the same way that SQL helped facilitate the growth and ...

Neo4j CEO: Why graph databases and AI belong together "My favourite thing to talk about is how the human brain is a graph". Written by Colin Barker, Contributor Nov. 23, ...

Inadequate scalability can severely limit the size of a graph database. Ease-of-use. Graph databases from different vendors vary considerably in the ease-of-use of various parts of their ...