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 ...

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 ...

MongoDB is still the most popular NoSQL document database for developers, but compatible alternatives such as DocumentDB ...

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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 ...

Most database startups avoid building relational databases, since that market is dominated by a few goliaths. Oracle, MySQL and Microsoft SQL Server have embedded themselves into the technical fabric ...

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 ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a content store database? Content stores are databases designed to store ...