Database systems such as MongoDB and MarkLogic store data simply as a collection of documents, making search more efficient and powerful. There are a number of non-relational databases for the Hadoop ...

Fluree is not a very straightforward product to get. To some extent, that goes for all data management systems. More so for graph databases. Even more so for blockchain-based systems. Fluree ...

Graph databases, based on mathematics known for three centuries, are starting to yield value for businesses beyond Facebook and Twitter.

TigerGraph may have done just that for graph databases. Written by George Anadiotis, Contributor Sept. 19, 2017, 5:42 a.m. PT TigerGraph is a new and impressive entry in the graph database world ...

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 ...

Intro to IBM Graph Based on the Apache TinkerPop framework for building high-performance graph applications, IBM Graph is built to enable and work with powerful applications through a fully ...

The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use.

In terms of actual adoption, the fastest growing segment of the database market actually belongs to graph databases that are increasingly being used to drive new classes of applications that require ...

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 ...

DataStax Enterprise Graph is actually a set of products that includes DataStax Enterprise Server for the graph database component, DataStax OpsCenter for the management piece, DataStax Studio for ...