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.

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 ...

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.

Emil Eifrem overviews the trends leading to NOSQL, and four emerging NOSQL solutions. He also explains the internals of a graph database and an example of using Neo4j – a graph DB - in production.

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.

CrateDB’s one of a flood of recent database products that all address specific issues that have sprung up: scalability, resiliency, mixing modalities (NoSQL vs. SQL, document vs. graph), high ...