Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has been a ...

Understanding the relationships in graph database theory allows us to work with the new 'shape' of data itself. Businesspeople like graphs. C-suite executives are fond of pie charts, Venn diagrams, ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Bitnine Global, Inc.: In the midst of the Data Revolution – 5Vs Volume, Velocity, Variety, Veracity, Variability. The conventional Relational DBMS, the majority of ...

The Internet of Things is creating serious new security risks. We examine the possibilities and the dangers. Read now Fifty years ago, relational databases were neither ubiquitous nor standardized.

When it comes to dating, everybody is highly motivated. So it is no surprise that the nerdy among us put their advanced knowledge to work when seeking out a mate. The most recent celebrated example is ...

A database structure that ties together relationships between data more thoroughly than a relational database (RDBMS). There are fewer restraints, and data elements can be linked in almost any manner.

Graph databases represent one of the fastest-growing areas in the database market. MarketsandMarkets’ report on graph databases predicts that graph databases will grow from $1.9 billion in 2021 to ...

Graph databases explicitly express the connections between nodes, and are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. There has ...

A lot has happened in graph land in the last six months. Quick recap: a new player (TigerGraph), Microsoft ramping up its graph play with graph support in SQL Server and CosmosDB, and the number two ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Event host TigerGraph, which makes a graph database that ...