Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

The state of graph databases worldwide The State of Graph Databases Worldwide A few days ago, ""=""> a report on the adoption and use case characteristics of graph databases.

Some graph databases run on a single machine, while some are designed to be distributed across multiple clusters. An early example of the latter was TitanDB by Aurelius.

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.

This is because businesses across industries are understanding how graph databases can drive competitive advantage. Online retailers, for example, are beginning to understand how the relationships ...

Graph databases have matured into mainstream information technology. They are no longer esoteric software that’s just emerging from the lab of a startup no one has ever heard of.

Graph databases that use nodes and properties to represent and store data appear to be making significant inroads in the U.S. retail market. For example, graph database specialist Neo Technology of ...

Graph databases are finding favor for their unique ability to represent complex relationships that rapidly navigate between elements in the database to discover correlations.

Graph databases are increasingly seen as a way to “connect the dots” as enterprise applications emerge requiring the linking of huge datasets. In an overview of the emerging graph database market, ...

Graph databases power data journalism on the biggest information leak ever.