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DBMS > Amazon DocumentDB vs. Cloudant vs. Microsoft Azure Cosmos DB vs. MySQL

System Properties Comparison Amazon DocumentDB vs. Cloudant vs. Microsoft Azure Cosmos DB vs. MySQL

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCloudant  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDatabase as a Service offering based on Apache CouchDBGlobally distributed, horizontally scalable, multi-model database serviceWidely used open source RDBMS
Primary database modelDocument storeDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#182  Overall
#27  Document stores
Score3.45
Rank#82  Overall
#15  Document stores
Score31.51
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1274.65
Rank#2  Overall
#2  Relational DBMS
Websiteaws.amazon.com/­documentdbcloudant.comazure.microsoft.com/­services/­cosmos-dbwww.mysql.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.cloudant.comdocs.microsoft.com/­en-us/­azure/­cosmos-dbdev.mysql.com/­doc
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftOracle infosince 2010, originally MySQL AB, then Sun
Initial release2019201020141995
Current release8.0.18, October 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageErlangC and C++
Server operating systemshostedhostedhostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infoJSON typesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnonoSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptJavaScriptyes infoproprietary syntax
TriggersnoyesJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMaster-master replication
Master-slave replication
yes infoImplicit feature of the cloud serviceMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoatomic operations within a document possibleMulti-item ACID transactions with snapshot isolation within a partitionACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databaseAccess rights can be defined down to the item levelUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon DocumentDBCloudantMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMySQL
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