Graph databases such as Neo4j, TigerGraph, Amazon Neptune, the graph portion of Azure Cosmos DB, and AnzoGraph, the subject of this review, offer a natural representation of data that is primarily ...

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TigerGraph Inc. is upgrading its graph database with a hybrid search capability designed to power artificial intelligence applications. The Redwood City, California-based startup debuted the feature ...

Katana Graph Inc., developer of a platform that analyzes large unstructured data sets using high-performance graph algorithms, announced today that it has raised $28.5 million in a new round of ...

Graph database company Neo4j wants to move beyond providing only its graph database, and is working on what it calls a 'graph platform' to help companies make the most of their data. ZDNet recently ...

Modern cybersecurity technologies produce massive quantities of data, which requires rethinking how to store and manage all the different types of information being generated. Many cybersecurity ...

All large organizations, and a whole lot of small ones, use databases. These tools keep names, dates, numbers and other tidbits of information neatly in order, organized into tables by common ...

Graph databases explicitly express the connections between nodes, and are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. There has ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...

A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...