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DBMS > IBM Cloudant vs. Microsoft Azure Cosmos DB vs. Percona Server for MongoDB vs. Yaacomo

System Properties Comparison IBM Cloudant vs. Microsoft Azure Cosmos DB vs. Percona Server for MongoDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionDatabase as a Service offering based on Apache CouchDBGlobally distributed, horizontally scalable, multi-model database serviceA drop-in replacement for MongoDB Community Edition with enterprise-grade features.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Document storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#113  Overall
#21  Document stores
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.60
Rank#246  Overall
#38  Document stores
Websitewww.ibm.com/­products/­cloudantazure.microsoft.com/­services/­cosmos-dbwww.percona.com/­mongodb/­software/­percona-server-for-mongodbyaacomo.com
Technical documentationcloud.ibm.com/­docs/­Cloudantlearn.microsoft.com/­azure/­cosmos-dbdocs.percona.com/­percona-distribution-for-mongodb
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftPerconaQ2WEB GmbH
Initial release2010201420152009
Current release3.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++
Server operating systemshostedhostedLinuxAndroid
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyes infoJSON typesyesyes
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.nonono
Secondary indexesyesyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyes
APIs and other access methodsRESTful HTTP/JSON APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptJavaScriptJavaScript
TriggersyesJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleMulti-item ACID transactions with snapshot isolation within a partitionnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
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 infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights can be defined down to the item levelAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
IBM CloudantMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBPercona Server for MongoDBYaacomo
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