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 ...

“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 ...

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 ...

NoSQL databases were born out of the need to scale transactional persistence stores more efficiently. In a world where the relational database management system (RDBMS) was king, this was easier said ...

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 ...

Since 2007, MongoDB has amassed millions of users of its document-based database, as workload shifts to the cloud has accelerated data collection growth as a whole and thus the need for architectures ...

MongoDB stock has almost doubled in value this year, benefiting from market optimism over a moderating rate environment and surging interest in AI. MongoDB differentiates itself from legacy relational ...

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 ...

MongoDB is a document-based database, benefiting from growth in the cloud and the need to consume and use data variants that go beyond typical relational database setups. As technologies like the ...