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, ...

Graph querying of data housed in massive data lakes and data warehouses has been part of the big data and analytics scene for many years, but it hasn’t always been a particularly easy process.

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 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 ...

Building a dependable database management system is no easy task. You need to understand what the design trade-offs in the construction of a database management system are and also how those ...

A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...

Graph databases such as Neo4j, TigerGraph, Amazon Neptune, the graph portion of Azure Cosmos DB, and AnzoGraph, the subject of this review, offer a natural representation of data that is primarily ...

Fluree is not a very straightforward product to get. To some extent, that goes for all data management systems. More so for graph databases. Even more so for blockchain-based systems. Fluree combines ...

Graph databases have proved their worth with the technology being used to analyse the Panama Papers. The recent data leak from the Panamanian law firm Mossack Fonseca has captured the imaginations of ...