Emil Eifrem overviews the trends leading to NOSQL, and four emerging NOSQL solutions. He also explains the internals of a graph database and an example of using Neo4j – a graph DB - in production.

Graph Databases 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.

Peter Neubauer introduces Graph databases and how they compare to RDBMS' and where they stand in the NOSQL-movement, followed by examples of using a graph database in Java with Neo4j.

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.

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

Apache Cassandra, originally developed at Facebook and later released as an open source project, is an example of a wide column store NoSQL database system. Finally, we have the graph database which ...

A graph database models real-world connections better than other NoSQL databases. It can support today's complex and connected data types, and scale to billions of nodes and relationships.

By contrast, Azure Cosmos DB implements separate relational, document, and graph layers, each with its own query language and API.

Today's abundance of NoSQL databases gives firms choice with one hand but doles out management complexity with the other, according to Basho CTO Dave McCrory.

NoSQL is a broad category of disparate database technologies, most of which have come to market in the past decade. NewSQL is a term coined by 451 Group analyst Matt Aslett to describe a new group of ...