A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

Since graph databases do not have a fixed schema or structure in the way that relational databases do, adding a new entity or type of relationship is much easier, similar to drawing another circle on ...

Neo4j is the leader in graph database technology. Neo4j is a native graph database, meaning it is purpose-built from the ground up for connected data. More precisely, it exposes a property graph data ...

TigerGraph Inc. is bringing its graph database to the cloud in announcement being made today at Amazon Web Services Inc.’s re:Invent conference.The company, which launched a little over a year a ...

SHACL allows a data graph, for instance, to specify the corresponding shapes graph used to describe the link between a given shape and targeted data. Franz claims its upgraded, flexible architecture ...

Amazon Web Services Inc.’s newest open-source project is Graph Notebook, a tool that enables data scientists to analyze and visualize information that their companies store in graph databases.

The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use.

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 ...

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 ...

HealthUnlocked is one of its health care customers. The London-based social networking outfit built a new service, called Health Graph, based on the Neo4j database. A graph database was a natural fit.