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

In contrast, graph databases are designed to handle complex, interconnected questions more efficiently. They can traverse the data and relationships between customers, purchase history, location ...

Neo4j, which commands 44% of the graph database market (per a Cupole Consulting Group report) and counts 84% of the Fortune 100 as customers, including IBM and Walmart, plans to add even more AI ...

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 ...

Both graph databases and knowledge graphs “have similarities but serve different purposes,” said Shalvi Singh, senior product manager at Amazon AI. “Graph databases serve as the underlying ...

AUSTIN, Texas, February 19, 2025--Valkyrie makes history by launching the first-ever knowledge graph on the moon aboard Intuitive Machine’s IM-2 Mission from Kennedy Space Center.

Neo4j Inc. today announced a new serverless offering that dramatically simplifies the deployment of its graph database offering, making it easier to use with artificial intelligence applications ...

Aerospike Inc., maker of a highly scalable NoSQL database, today is entering the graph database market with an offering that it claims can outperform and outscale offerings from market leaders ...

One of the best-known graph databases is Neo4j, which recently announced support for the enterprise version of its cloud-hosted service, Aura, on Azure.Available in the Azure Marketplace, it’s a ...

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.

Valkyrie makes history by launching the first-ever knowledge graph on the moon aboard Intuitive Machine’s IM-2 Mission from Kennedy Space Center.