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

What Is a Graph Database? Use Cases, Benefits and More Your email has been sent Efficient relationship processing. Flexibility and agility. Intuitive data modeling. Optimized for complex operations.

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

But there’s another type of graph that drives contemporary cloud-connected businesses and it runs as a new intelligence undercurrent in the IT department. There are many types of database and ...

Neo4j, Cassandra, and FluidDB represent a breed of databases that swiftly search social networking data Topics Spotlight: New Thinking about Cloud Computing ...

Dublin, July 14, 2022 (GLOBE NEWSWIRE) -- The "Global Graph Database Market Size, Share & Industry Trends Analysis Report By Type, By Vertical, By Component, By Deployment Type, By Organization ...

We may make money when you click on links to our partners. Learn More. Graph databases are now clearly riding the upward trend toward mainstream adoption for which the sector has been waiting for ...

TigerGraph Inc. is bringing its graph database to the cloud in announcement being made today at Amazon Web Services Inc.’s re:Invent conference. The company, which launched a little over a year ...

A semantic graph database technology vendor is supporting a key specification designed to validate graph-based data against a set of conditions that specify the “shape” of data. The goal is a more ...

The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use.