Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...

Graph database company Neo4j Inc. said today it’s embarking on a multiyear strategic collaboration with the cloud computing giant Amazon Web Services Inc. to enable enterprises to enhance the ...

Aerospike, Inc. is debuting their new graph database, built to be developer-ready, real-time, and highly scalable. The launch of Aerospike Graph responds to the lack of graph database solutions that ...

TigerGraph, provider of an ML and AI graph analytics platform, is releasing TigerGraph graph database v 3.9.3, introducing extended support for workload management, Kubernetes, and OpenCypher.

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. Most ...

Explore the concept of graph databases, their use cases, benefits, drawbacks, and popular tools. Learn how you can use Amazon Neptune's Graph Database to simplify building and running graph ...

New architecture fuses real-time transactions and analytics in one platform, with breakthrough performance and full fidelity at unprecedented scale The database guarantees full ACID compliance so that ...

Debate and discussion around data management, analytics, BI and information governance. This is a guest blogpost by Neo4j’s Jim Webber, who says graphs are a way of managing complexity that is all ...