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

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

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgreSQL  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceMicrosofts relational DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLCassandra-compatible wide column store
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.Wide column store
Secondary database modelsDocument 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
Score1098.55
Rank#3  Overall
#3  Relational DBMS
Score507.19
Rank#4  Overall
#4  Relational DBMS
Score2.06
Rank#110  Overall
#8  Wide column stores
Websiteaws.amazon.com/­documentdbwww.microsoft.com/­en-us/­sql-serverwww.postgresql.orgwww.scylladb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationwww.postgresql.org/­docs/­manualsdocs.scylladb.com
DeveloperMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerScyllaDB
Initial release201919891989 info1989: Postgres, 1996: PostgreSQL2015
Current releaseSQL Server 2019, November 201912.1, November 2019Scylla Open Source 3.1.2, December 2019
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoBSDOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
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Implementation languageC++CC++
Server operating systemshostedLinux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeschema-freeyesyesschema-free
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.no
Secondary indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLnoyesyes infostandard with numerous extensionsSQL-like DML and DDL statements (CQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
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
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoTransact 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.no
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationpartitioning by range, list and (since PostgreSQL 11) by hashSharding
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 EditionMaster-slave replication infoother methods possible by using 3rd party extensionsselectable replication factor infoRepresentation of geographical distribution of servers is possible
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 ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDno infoAtomicity and isolation are supported for single operations
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.yesnoyes infoin-memory tables
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users can be defined per object

More information provided by the system vendor

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Amazon DocumentDBMicrosoft SQL ServerPostgreSQLScyllaDB
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