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

Infinigraph is a new distributed graph architecture that allows Neo4j’s database to run operational and analytical workloads ...

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

New architecture fuses real-time transactions and analytics in one platform, with breakthrough performance and full fidelity at unprecedented scale Neo4j, the leading graph database and analytics ...

With the rapid development of artificial intelligence (AI) technology, the graph database market is experiencing unprecedented growth, with an annual growth rate approaching 25%. Graph databases are ...

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.

When DataStax acquired Aurelius, a graph database startup last year, it was clear it wanted to add graph database functionality to its DataStax Enterprise product, and today it achieved that goal ...

Graph databases are rapidly growing in usage, although most people are not aware of them. From Websites adding social-network features to telecoms providing personalized customer services to ...

Master Data Management is a practice adopted when a company really gets serious about making use of its data. Based on recent trends and some emerging analyst research, it seems that when ...

Several of the largest dating sites in the world have shifted toward graph databases in the last nine months. LinkedIn has a large team working on a proprietary graph database, which sits at the ...