This article relies too much on references to primary sources. (May 2012) (Learn how and when to remove this template message) A document-oriented database, or document store, is a computer program designed for storing, retrieving, and managing document-oriented information, also known as semi-structured data.
https://en.wikipedia.org/wiki/Document-oriented_database
Because relationships between different types of data were specified in the database schema, these relational databases could be queried with a standard Structured Query Language, or SQL. But the environment for data, as well as programming, has changed since the development of the SQL database:
https://www.mongodb.com/document-databases
The difference lies in the way the data is processed; in a key-value store the data is considered to be inherently opaque to the database, whereas a document-oriented system relies on internal structure in the document in order to extract metadata that the database engine uses for further optimization.
https://en.wikipedia.org/wiki/Document-oriented_database
In addition, MongoDB supports rich queries and full indexes, distinguishing it from other document databases that make complex queries difficult or require a separate server layer to enable them. Its other features include automatic sharding, replication, and more.
https://www.mongodb.com/document-databases
In a complex SQL database, this is difficult because many queries require multiple large tables to be joined together to provide a response. Executing distributed joins is a very complex problem in relational databases. The need to store unstructured data, such as social media posts and multimedia, has grown rapidly.
https://www.mongodb.com/document-databases
One of the most popular ways of storing data is a document data model, where each record and its associated data is thought of as a “document”. In a document database, such as MongoDB, everything related to a database object is encapsulated together.
https://www.mongodb.com/document-databases
DocumentDB: Announcing a New NoSQL Document Service for Azure. I’m excited to announce the preview of our new DocumentDB service - a NoSQL document database service designed for scalable and high performance modern applications. DocumentDB is delivered as a fully managed service (meaning you don’t have to manage any infrastructure or VMs yourself) with an enterprise grade SLA.
https://weblogs.asp.net/scottgu/azure-new-documentdb-nosql-service-new-search-service-new-sql-alwayson-vm-template-and-more
Provisioning a DocumentDB account. To get started with DocumentDB you provision a new database account. To do this, use the new Azure Preview Portal (http://portal.azure.com), click the Azure gallery and select the Data, storage, cache + backup category, and locate the DocumentDB gallery item.
https://weblogs.asp.net/scottgu/azure-new-documentdb-nosql-service-new-search-service-new-sql-alwayson-vm-template-and-more
Document databases generally have very powerful query engines and indexing features that make it easy and fast to execute many different optimized queries. The strength of a document database’s query language is an important differentiator between these databases.
https://www.mongodb.com/document-databases
This article is about the software type. For deployed applications of the software type, see Full text database. A document-oriented database, or document store, is a computer program designed for storing, retrieving, and managing document-oriented information, also known as semi-structured data.
https://en.wikipedia.org/wiki/Document-oriented_database
what type of database is documentdb
DocumentDB is a NoSQL type of database.   DocumentDB is a type of NoSQL database.  