A graph database can help you discover connections in your data you never imagined; here’s how to get started Alaa Mahmoud is an advisory software engineer and master inventor at IBM Analytics Cloud ...

It's often easier to understand the use cases for graph databases than understanding how graph databases work. For instance, asking the question of who the most powerful thought leaders across ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In recent years, knowledge graphs have become an important tool for ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...

When Emil Eifrem, founder and CEO of Neo4j, was working for an enterprise content management startup in Sweden in the mid-2000s, he was struggling with the challenge of mapping relationships between ...

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

Transactional cloud databases come in all shapes and sizes, from simple key-value stores to planet-scale distributed relational databases. Here’s how to choose the right cloud database for your ...

A novel form of database that focuses on connections between entities, called a graph database, is finding a home in the health care industry. “In health care, it turns out, there are quite a number ...