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

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

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSpatial and temporal data processing engine for extreme data scaleMicrosofts relational DBMS
Primary database modelDocument storeRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#166  Overall
#25  Document stores
Score0.12
Rank#272  Overall
#126  Relational DBMS
Score1093.75
Rank#3  Overall
#3  Relational DBMS
Websiteaws.amazon.com/­documentdbgeospock.comwww.microsoft.com/­en-us/­sql-server
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.geospock.com/­Content/­Home.htmdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentation
DeveloperGeoSpockMicrosoft
Initial release20191989
Current release2.0, September 2019SQL Server 2019, November 2019
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 languageJava, JavascriptC++
Server operating systemshostedhostedLinux
Windows
Data schemeschema-freeyesyes
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.nonoyes
Secondary indexesyestemporal, categoricalyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingtables 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 replicasyes, 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)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 possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID
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.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per tablefine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBGeoSpockMicrosoft SQL Server
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