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.

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: How Graphs And NoSQL Power Advanced Data-driven Apps. ByDan Woods, Former Contributor. Nov 12, 2015, 06:59am EST Nov 12, 2015, 10:02am EST. Share. Save. This article is more than 9 years old.

Property graphs have strict schemas, which makes them somewhat an anomaly in the free-floating world of the NoSQL data family. They sometimes run in a distributed manner, but not always. Because the ...

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 ...

NoSQL databases promise to upend a decades old relational approach to data. But with over 100 different NoSQL options to choose from, separated into unfamiliar categories like "document" and "wide ...

The NoSQL taxonomy supports key-value stores, document store, BigTable, and graph databases. MongoDB , for example, uses a document model, which can be thought of as a row in a RDBMS.

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

Amazon's new graph NoSQL database Neptune can be used to build and run applications that work with highly connected datasets. It also supports read replicas, point-in-time recovery, continuous backup ...

When it comes to managing big data, there’s an emerging number of ways to go about things, depending on your needs for structured data, unstructured data, volume, speed and accessibility. NoSQL ...