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DBMS > Amazon DocumentDB vs. IBM Db2 vs. Microsoft SQL Server vs. PostgreSQL

System Properties Comparison Amazon DocumentDB vs. IBM Db2 vs. Microsoft SQL Server vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCommon in IBM host environments, 2 different versions for host and Windows/LinuxMicrosofts relational DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
RDF store infoin DB2 LUW (Linux, Unix, Windows)
Document store
Graph DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#182  Overall
#27  Document stores
Score168.70
Rank#6  Overall
#5  Relational DBMS
Score1098.55
Rank#3  Overall
#3  Relational DBMS
Score507.19
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.ibm.com/­analytics/­db2www.microsoft.com/­en-us/­sql-serverwww.postgresql.org
Technical documentationaws.amazon.com/­documentdb/­resourceswww.ibm.com/­support/­knowledgecenter/­SSEPGGdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationwww.postgresql.org/­docs/­manuals
DeveloperIBMMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20191983 infohost version19891989 info1989: Postgres, 1996: PostgreSQL
Current release12.1, October 2016SQL Server 2019, November 201912.1, November 2019
License infoCommercial or Open Sourcecommercialcommercial infofree version is availablecommercial inforestricted free version is availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
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.noyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesyes infostandard with numerous extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.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#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
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 proceduresnoyesTransact 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.
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoonly with Windows/Unix/Linux Versiontables 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 infowith separate tools (MQ, InfoSphere)yes, but depending on the SQL-Server EditionMaster-slave 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 Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID
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.yesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
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