Constructing these, however, is laborious and a very batch-oriented effort. Around the same time as scale-out NoSQL, graph databases emerged.

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.

Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows. At almost 30 years of age, Microsoft's flagship database has learned ...

Graph databases aspire to overcome these problems by adopting a data model in which the relationships between objects or entities are equally as important as the objects themselves. In a graph ...

Standard, non-graph NoSQL databases — whether key-value, document-oriented, or column-oriented — typically store sets of disconnected values, documents, or columns.

Graph database provider TigerGraph Inc. today announced version 3.0 of its namesake engine, saying it incorporates significant ease-of-use enhancements. Graph databases are a type of NoSQL ...

IBM today announced the general availability of Graph, a service for the Bluemix cloud offering that the company said helps set up a relatively new, ...

Neo Technology, the commercial sponsor of the Neo4j open-source NoSQL graph database implemented in Java, on Tuesday announced the general availability of Neo4j 2.0. This release adds a new schema ...