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

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

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSpatial and temporal data processing engine for extreme data scaleMicrosofts relational DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#173  Overall
#28  Document stores
Score0.24
Rank#271  Overall
#126  Relational DBMS
Score1031.23
Rank#3  Overall
#3  Relational DBMS
Score552.23
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­documentdbgeospock.comwww.microsoft.com/­en-us/­sql-serverwww.postgresql.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.geospock.com/­Content/­Home.htmdocs.microsoft.com/­en-US/­sql/­sql-serverwww.postgresql.org/­docs
DeveloperGeoSpockMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201919891989 info1989: Postgres, 1996: PostgreSQL
Current release2.0, September 2019SQL Server 2019, November 201913.1, November 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++C
Server operating systemshostedhostedLinux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyestemporal, categoricalyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yesyes infostandard with numerous extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingtables can be distributed across several files (horizontal partitioning); sharding through federationpartitioning by range, list and (since PostgreSQL 11) by hash
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 EditionSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per tablefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

More information provided by the system vendor

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Amazon DocumentDBGeoSpockMicrosoft SQL ServerPostgreSQL
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