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

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

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.

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.

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

Graph technology is well on its way from a fringe domain to going mainstream. We take a look at the state of the union in graph, featuring Neo4j's latest release and insights as well as data and ...

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 ...

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

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 ...

DataStax recently announced a new product called DataStax Graph to store graph data models. It's based on open source Titan graph database and uses Apache Tinkerpop framework's Gremlin query ...