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

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

Soo Kim announced on the 8th of September that the team has developed a new DB system named 'Chimera' that fully integrates ...

On September 5, Neo4j announced the launch of its new Infinigraph architecture, claiming that this architecture addresses a ...

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.

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

Neo4j is renowned for its graph database technology, which is far more efficient than traditional relational databases when it comes to handling relationships between data. For example, when ...

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

With today’s updates to its managed graph database for the cloud, Neo4j AuraDB, the San Mateo, California-based company is working to make it easier for users to get started with its graph database.

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 when ...

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.

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 ...