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

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.

This article on SQL and NoSQL comparison will throw light on the debate on advantages and limitations on each. SQL database is a relational database. The basic quality of NoSQL is that it may not ...

To SQL or NoSQL? That’s the database question But as technological lines blur, there's not always a clear-cut answer.

According to 451 Group, graph database companies include Neo Technology’s Neo4j, Objectivity Inc.’s InifineGraph, YarcData’s Urika, IBM’s NoSQL graph store for DB2, Oracle Spatial and ...

There are other graph-related projects of note, including attempts to add graph-like capabilities to the Hadoop ecosystem through the Hama project - the Gremlin graph programming language - and other ...

Neo Technology has released a new version of its Neo4J graph database, saying the improved product will move the niche way of organizing data into the mainstream.

This is a guest blogpost by Neo4j co-founder and CEO Emil Eifrem, who explains why his sector needs its own ‘General Query Language’. In the same way that SQL helped facilitate the growth and ...

It should work with SQL, but it should not be confined by SQL. GQL would be a language that complements the traversal API of Apache Tinkerpop’s Gremlin as well as SPARQL for RDF triple-stores.