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, ...

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 ...

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

My fans know that my standard test for everything from PaaS (platform as a service) to alternative programming languages is something I call Granny’s Addressbook, a simple CRUD application. As it ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Real-time database vendor Aerospike is expanding its multi-model ...

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.

Whether you’re genuinely interested in getting insights and solving problems using data, or just attracted by what has been called “the most promising career” by LinkedIn and the “best job in America” ...

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 ...

If you were an investor, would you give a mid-sized startup comprised fully of engineers and sporting an open source product $11.5 million to pursue a singular path amidst heavy competition? You might ...

In this article, I explain why the first app built on a knowledge graph should be an enterprise data catalog. I then clarify why any catalog equipped to grow, scale, and evolve with the modern data ...