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 ...

NoSQL databases can be classified into four main categories, based on their data model and query language: key-value, document, column, and graph. Each type has its own strengths and weaknesses ...

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 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.

Graph databases, such as Neo4j, explicitly express the connections between nodes. ... column-oriented NoSQL database as a service that uses the same code as Google’s internal version, ...

Everywhere you look, there are new NoSQL databases — or “data stores,” if you’re one of those who feel that the word “database” can only be used by proper relational software offering ...

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 ...

Organizations are attracted to graph databases to meet big and complex data challenges that traditional databases such as relational and NoSQL are not capable of conquering.