Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

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.

At the high end of the complexity spectrum for NoSQL database lies the graph database, which are highly specialized data stores used for storing linked data. Instead of storing data in rows/columns or ...

The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL DBMS) has everything to do with Big Data analytics.

In the Enterprise, There is Value in Relationships A graph database models real-world connections better than other NoSQL databases. It can support today's complex and connected data types, and scale ...

Apache Cassandra, originally developed at Facebook and later released as an open source project, is an example of a wide column store NoSQL database system. Finally, we have the graph database which ...

Today Neo Technology, makers of the NoSQL graph database Neo4j announced that it has raised a $11 million Series B led by Sunstone Capital with participation from previous investors such as ...

NoSQL and NewSQL databases are popular solutions in the data management space. At VoltDB, we’re sometimes asked to clarify the difference between the two approaches. Here’s what you need to know if ...

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

In order to understand who a player’s friends are in online Bingo, casino and slot games, Gamesys stepped out of its DB2 comfort zone to implement a NoSQL-based graph database, Neo4j. When Big Data ...