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DBMS > Amazon DocumentDB vs. Microsoft SQL Server vs. searchxml

System Properties Comparison Amazon DocumentDB vs. Microsoft SQL Server vs. searchxml

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceMicrosofts relational DBMSDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument storeRelational DBMSNative XML DBMS
Search engine
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#166  Overall
#25  Document stores
Score1093.75
Rank#3  Overall
#3  Relational DBMS
Score0.11
Rank#277  Overall
#7  Native XML DBMS
#15  Search engines
Websiteaws.amazon.com/­documentdbwww.microsoft.com/­en-us/­sql-serverwww.searchxml.net/­category/­products
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationwww.searchxml.net/­support/­handouts
DeveloperMicrosoftinformationpartners gmbh
Initial release201919892015
Current releaseSQL Server 2019, November 20191.0
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedLinux
Windows
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.noyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes infoon the application server
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes, but depending on the SQL-Server Editionyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
Amazon DocumentDBMicrosoft SQL Serversearchxml
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