This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a document store database? Document stores accommodate data that has a ...

“The right tool for the right job.” If such wisdom holds true anywhere, it certainly holds true with the choice of database a developer picks for a given application. Document databases, one of the ...

Document databases first emerged as part of a NoSQL movement that provided developers with a means to build lightweight applications that did not require any assistance from a database administrator ...

Document-oriented databases (also called: aggregate databases, document databases or document stores) place each record, and its associative data, inside single documents. This database type is a ...

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 ...

A document database is a type of nonrelational database that is designed to store and query data as JSON-like documents. Document databases make it easier for developers to store and query data in a ...

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

Amazon Web Services Inc. is taking a shot at MongoDB Inc. with the launch today of its new Amazon DocumentDB database service. Amazon said DocumentDB is a fast, scalable, highly available and fully ...

Moving its eponymous NoSQL document database to the cloud and running it as a managed service has been a watershed event for MongoDB, which like a number of its peers in the broader database market ...