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.

Reltio is a product that combines Master Data Management (MDM) with the power of the Cassandra NoSQL and graph databases to create a new kind of application development platform for data-heavy use ...

Review: SQL Server 2017 adds Python, graph processing and runs on Linux Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows.

The SQL language served as a universal language for data­base manipulation from the mid-1980s until NoSQL data­bases started gaining strength about 12 years ago. However, after a short period in the ...

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

InfiniteGraph is the latest to throw an offering into the pot, launching a new tool for NoSQL quadrants of databases. It’s an enabling technology really.

Serving customers in production for over a decade, Neo4j is the world's leading graph database with the largest ecosystem of partners and tens of thousands of successful deployments.

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 ...

A NoSQL database has flexible data requirements, making it a better fit for applications that will evolve over time than an SQL database.