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.

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Graph databases—like other NoSQL databases—typically use their own custom query methodology instead of SQL. One commonly used graph query language is Cypher , originally developed for the ...

The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility ...

The type of NoSQL database you choose should be based on the type of data you need to store, its size and complexity. Key-Value Stores are the Simplest of NOSQL Databases; A Key Value data model is ...

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.

Microsoft, Oracle, and Teradata, for example, are now all selling some form of Hadoop integration to connect SQL-based analysis to the world of unstructured big data.

Aerospike Inc., maker of a highly scalable NoSQL database, today is entering the graph database market with an offering that it claims can outperform and outscale offerings from market leaders ...

Accelerating Big Data: Five Key Insights Given Bengal and Shoolman’s years of experience with application acceleration and high-speed networking, they have a unique set of insights into what you ...

News. Java-Based NoSQL Graph Database Goes Spring. By John K. Waters; October 27, 2011; Neo Technology, the lead commercial sponsor of the Neo4j open-source NoSQL graph database implemented in Java, ...