For a few decades, structured data are typically arranged as relational tables and stored in relational databases. Recent years have witnessed the blossom of graph databases, for which graph becomes ...

Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

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.

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

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. At Data Summit 2022, Joseph Hilger, COO, Enterprise Knowledge LLC ...

AnzoGraph is a fast, horizontally scalable, OLAP graph database that brings a wealth of analytics capabilities to large graphs ...

LinkedIn recently published how LIquid, its graph database, automates the indexing and real-time access of all connections to members, schools, skills, companies, positions, jobs, events, etc ...

Amazon’s graph database service offers ACID properties, immediate consistency, and auto-scaling storage for billions of relationships ...