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 ...

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

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.

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

One technology experiencing a kind of renaissance is the graph database, which has existed for years but is finding new relevance in current cybersecurity contexts.

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

The State of Graph Databases Worldwide A few days ago, IBM released "The State of Graph Databases Worldwide," a report on the adoption and use case characteristics of graph databases.

The new distributed graph architecture promises unified transactional and analytical processing, enabling enterprises to ...

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 ...