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.

A next-generation graph-relational database (DB) system has been developed in South Korea. If this system is applied in ...

From Relational to Graph Databases: The 'Association' Revolution in the Era of Big Data In this era of information explosion, ...

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

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

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

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

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

Neo4j®, the leading graph database and analytics platform, today unveiled Infinigraph: a new distributed graph architecture now available in Neo4j’s self-manage ...

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 ...

Discover how a system's scalability, speed, and efficiency are measured by TPS. This vital performance metric i..