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

For a few decades, structured data are typically arranged as relational tables and stored in relational databases. Recent years have witnessed the blossom of graph databases, for which graph becomes ...

Graph databases facilitate discovery and analysis closely connected facts. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

TigerGraph The TigerGraph Analytics Platform combines a graph storage engine, a graph processing engine, and three types of API. It can run on-premises, in the cloud, or in a hybrid configuration.

Imagine a graph database that's not aimed at the growing graph database market, selling to Fortune 500 without sales, and claiming to be the fastest without benchmarks. Dgraph is unique in some ...

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. At Data Summit 2022, Joseph Hilger, COO, Enterprise Knowledge LLC ...

The new database adds a property graph data model to the existing capabilities of its NoSQL Database and Apache TinkerPop graph compute engine.

Neo4j, the premiere graph database development platform, announced the release of version 4.0 today, which features unlimited scaling among other updates.

LinkedIn recently published how LIquid, its graph database, automates the indexing and real-time access of all connections to members, schools, skills, companies, positions, jobs, events, etc ...

Neo4j Inc, a graph database firm whose technology was used in investigating the "Panama Papers," said on Thursday it closed an $80 million Series E funding round led by One Peak Partners and ...