Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...

Understanding the relationships in graph database theory allows us to work with the new 'shape' of data itself. Businesspeople like graphs. C-suite executives are fond of pie charts, Venn diagrams, ...

The problem: The app must store a collection of people and who they know. Sometimes it must find out everyone who knows someone who knows Bob. Sometimes it must look further for everyone who is three ...

Of the many NoSQL data management capabilities, the graph database offers special appeal to individuals who want to bridge the gaps between inherently connected information and apply graph analytics ...

Nelson Pecora, lead developer on Newsela’s content management system team, with a visualization of Newsela content in a Dgraph database. With online learning becoming the norm, many teachers in the ...

Graph databases explicitly express the connections between nodes, and are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. There has ...

The main objective of NoSQL databases is improved efficiency. It is somewhat achieved with the use of new technologies and thinking outside the box. An example of the new technologies applied could be ...

Learn how you can use Amazon Neptune’s Graph Database to simplify building and running graph applications. When Amazon Web Services announced the general availability of Amazon Neptune, thousands of ...