You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

Graphs in Excel help break down your data into an easily digestible format. Here’s how to make a graph in Microsoft Excel.

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

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 database vendor Neo4j announced today new capabilities for vector search within its graph database. Neo4j’s namesake database technology enables organizations to create a knowledge graph ...

The goal of this type of database is to make it easier to discover and explore the relationships in a property graph with index-free adjacency using nodes, edges, and properties.

If your project depends on the Neo4j graph database, you might want to take advantage of Neo4j Desktop for easier database administration.

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 ...