DBMS > Amazon DynamoDB vs. Microsoft Azure Cosmos DB vs. Yanza

System Properties Comparison Amazon DynamoDB vs. Microsoft Azure Cosmos DB vs. Yanza

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Editorial information provided by DB-Engines

Name

Description

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

Globally distributed, horizontally scalable, multi-model database service

Time Series DBMS for IoT Applications

Primary database model

Document store
Key-value store

Document store
Graph DBMS
Key-value store
Wide column store

Time Series DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	64.58
Rank	#16	Overall
	#2	Document stores
	#2	Key-value stores

Score	30.40
Rank	#24	Overall
	#3	Document stores
	#2	Graph DBMS
	#3	Key-value stores
	#3	Wide column stores

Score	0.00
Rank	#337	Overall
	#30	Time Series DBMS

Website

aws.amazon.com/dynamodb

azure.microsoft.com/services/cosmos-db

yanza.com

Technical documentation

docs.aws.amazon.com/dynamodb

docs.microsoft.com/en-us/azure/cosmos-db

Developer

Amazon

Microsoft

Yanza

Initial release

2012

2014

2015

License

Commercial or Open Source

commercial info

free tier for a limited amount of database operations

commercial

commercial info

free version available

Cloud-based only info

Only available as a cloud service

yes

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Server operating systems

hosted

Windows

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

JSON types

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

All properties auto-indexed by default

SQL

Support of SQL

SQL-like query language

APIs and other access methods

RESTful HTTP API

DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API

HTTP API

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python

any language that supports HTTP calls

Server-side scripts info

Stored procedures

JavaScript

Triggers

yes

by integration with AWS Lambda

JavaScript

yes

Timer and event based

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

none

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

none

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

with Hadoop integration info

Integration with Hadoop/HDInsight on Azure*

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency info

can be specified for read operations

Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency info

Consistency level configurable on request level
Session Consistency

Immediate Consistency

Foreign keys info

Referential integrity

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

ACID across one or more tables within a single AWS account and region

Multi-item ACID transactions with snapshot isolation within a partition

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

User concepts info

Access control

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

Access rights can be defined down to the item level

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