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 ...

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 ...

MongoDB's document-based database structure is better suited for the demands of the AI and big data era, offering flexibility and scalability at a lower cost. The global database market is projected ...

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 ...

The worlds of Big Data and NoSQL overlap and coincide quite a bit. For instance Hbase, a Wide Column Store NoSQL database is often used with Hadoop, and vice-versa. Meanwhile, beyond the Wide Column ...

Couchbase is a prominent NoSQL database that, along with MongoDB, explicitly targets Big Data applications. Although based on technology from the Apache CouchDB document store project, Couchbase ...

FoundationDB Inc. reportedly intends to open a new front in its war against the conventional wisdom of database design with the planned addition of another configuration option for its adaptive ...

“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 ...

There is a lot of data out there, and much of it doesn’t need to be stored in heavyweight relational databases, with complex query languages. That is particularly true of modern cloud applications and ...