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

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

Graph analytics, built on the mathematics of graph theory, is used to model pairwise relationships between people, objects, or nodes in a network. It can uncover insights about the strength and ...

“Graph Relates Everything” is how Gartner put it when including graphs in its top 10 data and analytics technology trends for 2021. At Gartner’s recent Data & Analytics Summit 2021, graph ...

Graph analytics can be used not only to detect a correlation, but also to determine its nature and how significant it really is within the overall system. Graph analysis applications.

Graph analytics and stream processing “Graph Relates Everything” is how Gartner framed the reasoning behind including graphs in its top 10 data and analytics technology trends for 2021.

Graph analytics is an ideal technology to help to tackle the challenges caused by large, disparate, datasets since it becomes more impactful as the volume, velocity and variety of data expands. [2] ...

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 ...

So it’s not surprising to see that graph databases and graph analytics are starting to flourish in financial services. Graph database provider TigerGraph held its annual Graph + AI Summit last week, ...

Empowering E-Commerce With Real-Time Deep Link Analytics. Recently, we have seen the next-phase in the graph database evolution, with technology fulfilling the needs of e-Commerce by providing Deep ...