Graph data is hundreds of years old while graph data technology is new. Ten years ago, nobody talked about graph databases. The IT team had no problem in learning how to use it.

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Several use cases for scene graphs are already being explored or deployed for military or other government needs. One example is situational awareness. Let’s say an agency uses video cameras to ...

Here are three key qualities of graph technology that make it a powerful tool for investigating misinformation, fraud, and scams: Recognizing relationships in data .

Future proof and agent-ready – Built on an open, ISO-backed standard, GQL lays the foundation not just for current insights ...

Read more about database technology in APAC. Neo4j is partnering with consulting firm Deloitte to meet the demand for graph technology on the back of its growing business in the ASEAN region ...

While graph technology certainly offers a myriad of benefits, today’s legacy graph database poses some unique challenges, Hackstein remarked. These include: Lack of flexibility, as graph alone is ...

Imagine using artificial intelligence to compare two seemingly unrelated creations—biological tissue and Beethoven's "Symphony No. 9." At first glance, a living system and a musical masterpiece ...

Simultaneously, these innovations lower adoption barriers for graph technology and GraphRAG for gen AI, enabling organizations to push the envelope on what’s possible for their data and their ...

Neo4j Aura Graph Analytics comes with more than 65 ready-to-use graph algorithms and is optimized for high-performance AI applications, with support for parallel workflows ensuring any app can ...