This is where graph databases come in. The most general purpose of so-called NoSQL data models, graph databases store and process any kind of data by bringing connections to the fore. A “graph ...

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

Predictable, logical, capable of processing thousands of transactions with provable integrity, so that not one penny is lost: SQL is the perfect ... relational database, I used a graph database ...

In a perfect world, this should be possible by ... Also: AWS Neptune going GA: The good, the bad, and the ugly for graph database users and vendors Which bring us to another key topic: Question ...

Graph databases are a great tool for helping vendors ... ACM SIGMOD 2022 conference in Philadelphia. “These events are perfect places to provide feedback on the benchmarks and learn about ...

It involved lots of highly connected communications data, a seemingly perfect fit for a graph database. But certain operations were so slow that her team ended up abandoning it, and replacing it ...

The great thing about graph databases is that data can grow organically, quickly and easily connect with a growing list of ‘things’. It therefore makes perfect sense to consider graph technology for ...

“A supply chain tracking system is a perfect application for a graph database,” Olafson says. Both graph and relational databases support relationships among data, but the difference in the ...

Graph databases are suddenly hot ... Forrester Research Inc. analyst Noel Yuhanna said they’re perfect for answering questions like “How many school friends who are not yet connected to ...

Graph databases are optimized to handle queries ... if they don’t include a particularly notable place that’s a perfect fit but happens to lie just outside the search radius?