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

The NoSQL-style graph data technologies, often integrated by applications specialists like Esri, represent a new take on analytics that is gaining momentum.. Unlike table-based relational database ...

Graph analytics and graph databases. Eifrem cofounded Neo4j in 2007 after he stumbled upon the applicability of graphs in applications with highly interconnected data.

A future application could be data quality monitoring, such as comparing the distribution of data in a 30-day window to catch things like data corruption. Also: Neo4j CEO: Why graph databases and ...

First, you get the software: Operating systems, search engines, browsers, and social networks. Then, you get the hardware: Mobile phones, data centers, cloud. Then, you get a gradually expanding ...

These are some of the nicest looking graphs I have seen in Web applications – check out the demos. You can also test the applets and servlets that will display a trial-use message.

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. At Data Summit 2023, Joseph Hilger, COO, Enterprise Knowledge LLC ...

NEW YORK and PARIS, June 21, 2024 — CAST, a global leader in software intelligence, announced a strategic research collaboration with the Laboratoire d’InfoRmatique en Image et Systèmes d’information ...

Data structures aside, graph knowledge bases are fundamentally designed, like databases, to store information. However, data services for stateless distributed applications and web-scale processes ...