Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

The emergence of JSON data stores such as MongoDB and CouchDB had put a lot more focus on the challenges of indexing non-traditional databases, ... a relational database using graphs, ...

A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

This is where graph databases and NoSQL come into play. Unlike relational databases, which work particularly well with structured data, graph databases are designed to model and store data as ...

Here’s how five industries are taking advantage of graph databases’ extremely fast relational query performance across distributed data stores. 1. Gaining a 360-degree view of customers ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

When Teradata bought Aster Data in 2011, it set out on a quest to bring (then) esoteric Big Data technology to the relational database faithful. Specifically, Aster's SQL-MapReduce facility ...

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.

Global Graph Database Market Global Graph Database Market Dublin, Dec. 13, 2023 (GLOBE NEWSWIRE) -- The "Global Graph Database Market by Model Type (RDF, LPG, Hypergraph), Offering (Solutions ...