While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...

OAKLAND, Calif., March 5, 2019 — Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Semantic Graph Database technology for Knowledge Graphs, has announced ...

Because any database that does not support the SQL language is, by definition, a "NoSQL" database, some very different databases coexist under the NoSQL banner. Massively scalable data stores like ...

New global survey reveals 64.5% of enterprises have AI in production, yet only 38.1% rate their document data as "excellent," exposing a critical gap in AI readiness. DENVER, Dec. 3, 2025 /PRNewswire/ ...

Databases were traditionally highly specialized data stores that were designed for specific tasks and until recently, they've been getting even more specialized. Recall data warehouses? Somebody once ...

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more ...

Relational databases store information in strictly regulated tables and columns. MongoDB is a document store, which stores information in collections and documents. The primary difference here is that ...

This is a preview. Log in through your library . Abstract This paper reviews empirical literature on how people use documents to perform tasks. We examine studies that have been published under the ...

The design of a database determines what method is best suited for backing it up, and those methods vary quite a bit. In order to back up a database, you need to know how it’s delivered, but you also ...