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 ...

When XML came along five years ago, promising to rewrite the rules of data management, vendors of relational databases took note, but they didn’t panic. They’d already seen this movie a decade before, ...

Document databases are a form of NoSQL database that may store all of the information for a given object in a single instance in the database. Contrast this with relational databases that might store ...

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 ...

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 ...

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 ...