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DBMS > Amazon DocumentDB vs. IBM Cloudant vs. Microsoft SQL Server

System Properties Comparison Amazon DocumentDB vs. IBM Cloudant vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDatabase as a Service offering based on Apache CouchDBMicrosofts flagship relational DBMS
Primary database modelDocument storeDocument storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.80
Rank#148  Overall
#25  Document stores
Score2.79
Rank#113  Overall
#21  Document stores
Score845.81
Rank#3  Overall
#3  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.ibm.com/­products/­cloudantwww.microsoft.com/­en-us/­sql-server
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.ibm.com/­docs/­Cloudantlearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Microsoft
Initial release201920101989
Current releaseSQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++
Server operating systemshostedhostedLinux
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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
SQL infoSupport of SQLnonoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyes
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 databasefine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBIBM CloudantMicrosoft SQL Server
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