A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

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.

The NoSQL taxonomy supports key-value stores, document store, BigTable, and graph databases. MongoDB , for example, uses a document model, which can be thought of as a row in a RDBMS.

News. Neo4j 2.0: The Graph Database Has Arrived. By John K. Waters; January 14, 2014; Neo Technology, the commercial sponsor of the Neo4j open-source NoSQL graph database implemented in Java, on ...

Alternate data models in NoSQL offerings. Lucene, Solr and ElasticSearch offer text and document indexing functions, for example to implement real-time search as users enter terms. Graph databases ...

Take, for example, ... NoSQL databases are often associated with "big data" tasks, ... and all relations and routing requirements fit really well in a graph database.

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 ...

Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has ...

Graph databases and models have been around for well over a decade, and are among the most impactful technologies to emerge from the NoSQL movement. Graph data models are natively designed to ...