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

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.

At the high end of the complexity spectrum for NoSQL database lies the graph database, which are highly specialized data stores used for storing linked data. Instead of storing data in rows/columns or ...

A NoSQL database has flexible data requirements, making it a better fit for applications that will evolve over time than an SQL database.

Graph data modeling requires a different paradigm than modeling with Relational or other NoSQL databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling with Graph databases.

Today Neo Technology, makers of the NoSQL graph database Neo4j announced that it has raised a $11 million Series B led by Sunstone Capital with participation from previous investors such as ...

NoSQL and NewSQL databases are popular solutions in the data management space. At VoltDB, we’re sometimes asked to clarify the difference between the two approaches. Here’s what you need to know if ...

LOS ALTOS, Calif. & SAN MATEO, Calif.--(BUSINESS WIRE)--Talend, a global open source software leader, and Neo Technology, creators of Neo4j, the world’s leading graph database, today announced a ...

Around the same time as scale-out NoSQL, graph databases emerged. Many things are not “relational” per se, or not based on set theory and relational algebra, but instead on parent-child or ...