For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.

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

Imagine your database of choice blown out of the water by a startup emerging from stealth. TigerGraph may have done just that for graph databases.

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.

You can easily create a graph in Google Sheets to get a visual representation of your data. Here's how to use Google Sheets to create a graph.

This can make it quite slow as opposed to a graph database that is densely connected and easily queried. As sensors become more widely used in wearables such as Google Glass, the demand for graph ...

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a ...