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DBMS > Microsoft Azure DocumentDB

Microsoft Azure DocumentDB System Properties

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Editorial information provided by DB-Engines
NameMicrosoft Azure DocumentDB
DescriptionPlanet-scale, highly-available NoSQL database service on Microsoft Azure
Database modelDocument store
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Score4.28
Rank#54  Overall
#9  Document stores
Websiteazure.microsoft.com/­en-us/­services/­documentdb
Technical documentationazure.microsoft.com/­en-us/­documentation/­services/­documentdb
DeveloperMicrosoft
Initial release2014
License Commercial or Open Sourcecommercial
Cloud-based Only available as a cloud serviceyes
Server operating systemshosted
Data schemeschema-free
Typing predefined data types such as float or dateyes JSON types
Secondary indexesyes All properties auto-indexed by default
SQL Support of (almost full) SQL standard (DML, DDL and DCL statements)no SQL-like dialect for querying documents
APIs and other access methodsNative support for MongoDB wire protocol
RESTful HTTP API
Supported programming languages.Net
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts Stored proceduresJavaScript
TriggersJavaScript
Partitioning methods Methods for storing different data on different nodesSharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodesyes Implicit feature of the cloud service
MapReduce Offers an API for user-defined Map/Reduce methodswith Hadoop integration Integration with Hadoop/HDInsight on Azure*
Consistency concepts Methods to ensure consistency in a distributed systemBounded Staleness
Session Consistency
Eventual Consistency
Immediate Consistency Consistency level configurable on request level
Foreign keys Referential integrityno
Transaction concepts Support to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partition
Concurrency Support for concurrent manipulation of datayes
Durability Support for making data persistentyes
User concepts Access controlAccess rights can be defined down to the item level
More information provided by the system vendor
Microsoft Azure DocumentDB
Specific characteristics

Microsoft Azure DocumentDB is a NoSQL service for highly available, globally distributed apps. It enables developers to take full advantage of SQL and JavaScript without the hassles of other on-premises or virtual machine-based cloud options. It is a fully managed cloud database and supports both document and key-value data models. It is used extensively within Microsoft and externally by companies building, mobile, web, gaming, IoT, and other intelligent, data-driven applications.

Competitive advantages

Guaranteed low latency
Write a sustained volume of data and synchronously index it to serve consistent SQL queries using a write-optimized, latch free databases engine designed for solid-state drives. 

Achieve limitless scale
Scale throughput and storage independently and elastically—not just within one region, but across many geographically distributed regions.

Replicate data globally
Easily build apps at planet scale without the hassle of complex, multiple data center configurations. Designed as a globally distributed database system, DocumentDB automatically replicates all of your data to any number of regions worldwide. Your apps can serve data from a region closest to your users for fast, uninterrupted access.

Benefits of SQL and JavaScript, schema free
Query using familiar SQL and JavaScript syntax over document and key-value data without dealing with schema or secondary indices, ever.

Tunable consistency
Instead of offering extreme choices between strong and eventual consistencies, DocumentDB offers four well-defined consistency levels - strong, bounded staleness, session, and eventual - for an intuitive programming model with low latency and 99.99 percent availability in the face of local and regional failures.

Learn more

Typical application scenarios

Azure DocumentDB enables writing globally distributed applications and allows you to get going and deliver quickly.

Mobile (Real Madrid, Orange Tribes)
Mobile apps need to support different versions and different platforms, each often using a slightly different schema. DocumentDB’s automatic indexing capabilities allow you to easily change schemas on the fly without having to make any database changes.

Web/Global Marketing (MSN, Telenor)
Web-scale apps need to be able to grow and shrink based on demand. DocumentDB supports scaling up and down to handle any size workload.

Gaming (Next Games)
Gaming apps need to be able to grow and shrink based on demand. DocumentDB supports scaling up and down to handle any size workload.

IoT and Analytics
With DocumentDB, you can easily store and query device registration data for your IoT application. With connectivity to Hadoop on Azure, DocumentDB can play a key role in your intelligent, data-driven applications.

Key customers

Real Madrid, Orange Tribes, MSN, Telenor, NextGames

Market metrics

Gartner Research positions Microsoft as the leader in the Magic Quadrant Operational Database Management Systems in 2016.

Licensing and pricing models

With DocumentDB, pay only for the storage you use and the throughput you provision globally. Throughput can be scaled up or down depending on the needs of your application as low as a few 100 requests per second to millions of requests per second across any number of Azure regions. To get started, sign up for a free Azure account.

3rd party products and services

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

More resources
Microsoft Azure DocumentDB
DB-Engines blog posts

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

show all

Recent citations in the news

DocumentDB Stored Procedures Best Practices - Microsoft
27 March 2017, Channel 9

Azure DocumentDB SLA now includes latency, availability, throughput, and consistency
12 April 2017, MSPoweruser

Microsoft Introduces Spark Connector for Azure DocumentDB - eWeek
16 March 2017, eWeek

AWS squares up to Microsoft in chase for MongoDB cloud budgets ...
11 April 2017, The Register

Get the most out of Azure's global DocumentDB | InfoWorld
4 January 2017, InfoWorld

provided by Google News

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