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.

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

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 ...

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 ...

Through the graph-based NoSQL store it provides, ... How a graph database works. Schema with indexes. ... For example, the /vertices and ...

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 ...

Here's a look at 10 real-world NoSQL use cases, demonstrating how companies from a variety of industries are employing this relatively new database.

There are four emerging categories of NoSQL databases available today: Key-Value stores, Column Family databases, Document databases and Graph databases. Each was designed to accommodate the huge ...

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 ...

Here's a look at 10 real-world NoSQL use cases, demonstrating how companies from a variety of industries are employing this relatively new database.