New Perspectives Kuzu connector enables you to analyze and visualize graph data in Perspectives without the cost or complexity of traditional comm ...

Graph databases work best when the data you’re working with is highly connected and should be represented by how it links or refers to other data, typically by way of many-to-many relationships.

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

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.

Graph databases, which explicitly express the connections between nodes, are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. That ...

Graph databases are the fastest growing category in all of data management, according to DB-Engines.com, a database consultancy.Since seeing early adoption by companies including Twitter, Facebook and ...

Graph databases have been around in one form or another since the early oughts, but they were generally slower, more complex to work with, and more limited in terms of their applicability than ...

Graph databases are playing a growing role in improving fraud detection, recommendation engines, lead prioritization, digital twins and old-fashioned analytics. But they suffer performance ...

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

TigerGraph may have done just that for graph databases. Written by George Anadiotis, Contributor Sept. 19, 2017 at 5:42 a.m. PT TigerGraph is a new and impressive entry in the graph database world ...

Graph databases think like you do, according to their proponents: as per one Application Architect respondent, "for domains that have a good fit, ...

A graph database is different from a traditional relational database in how it is structured. Instead of using rows and tables to organize data, a graph database has nodes and edges to build out a ...