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DBMS > Amazon DocumentDB vs. Microsoft Azure SQL Database vs. PostgreSQL vs. SAP SQL Anywhere vs. STSdb

System Properties Comparison Amazon DocumentDB vs. Microsoft Azure SQL Database vs. PostgreSQL vs. SAP SQL Anywhere vs. STSdb

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDatabase as a Service offering with high compatibility to Microsoft SQL ServerWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­documentdbazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.postgresql.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlgithub.com/­STSSoft/­STSdb4
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.postgresql.org/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerSAP infoformerly SybaseSTS Soft SC
Initial release201920101989 info1989: Postgres, 1996: PostgreSQL19922011
Current releaseV1216.3, May 202417, July 20154.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC#
Server operating systemshostedhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoprimitive types and user defined types (classes)
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.yes
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesyes infostandard with numerous extensionsyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
HTTP API
JDBC
ODBC
.NET Client API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresnoTransact SQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, in C/C++, Java, .Net or Perlno
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and (since PostgreSQL 11) by hashnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes, with always 3 replicas availableSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
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 possibleyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

More information provided by the system vendor

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More resources
Amazon DocumentDBMicrosoft Azure SQL Database infoformerly SQL AzurePostgreSQLSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSTSdb
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