Key-value and other unstructured databases such as MongoDB, which use rules defined by programmers to comb through large amounts of unstructured data, including documents and websites.

Nesting documents in MongoDB. A powerful aspect of the document-oriented structure of MongoDB is that documents can be nested. For example, instead of creating another table to store the address ...

In a NoSQL database like MongoDB, for example, a document (aka complex object) can be the equivalent of rows joined across multiple tables, and consistency is guaranteed within that object.

Document store databases let you manage records that are long and have varied structure. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big ...

The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases.Often, NoSQL databases boast better design flexibility ...

Though NoSQL is not a relational database, ... It is not built on tables and does not employ SQL to ... and graph databases. MongoDB, for example, uses a document model, which can be thought of ...

Alternate data models in NoSQL offerings. Lucene, Solr and ElasticSearch offer text and document indexing functions, for example to implement real-time search as users enter terms. Graph databases ...

NoSQL databases range from key-value stores to columnar databases to document databases to graph databases. On the face of it, nothing sounds more natural or reasonable than a NoSQL database. ... For ...

Also, if I chose to have no relationships in my SQL and simply pulled table data directly, it would be exactly as fast or faster than NoSql. 9) Flexibility is a double-edged sword.