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

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

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSolr  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 SQLA widely used enterprise search engine based on Apache Lucene
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.Search engine
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
Score56.57
Rank#17  Overall
#3  Search engines
Websiteaws.amazon.com/­documentdbwww.microsoft.com/­en-us/­sql-serverwww.postgresql.orglucene.apache.org/­solr
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationwww.postgresql.org/­docs/­manualslucene.apache.org/­solr/­resources.html
DeveloperMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software Foundation
Initial release201919891989 info1989: Postgres, 1996: PostgreSQL2004
Current releaseSQL Server 2019, November 201912.1, November 20198.3.1, December 2019
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoBSDOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava
Server operating systemshostedLinux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
All OS with a Java VM and a servlet container inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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 infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesyes infostandard with numerous extensionsno infosupports limited query time joins
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
Java API
RESTful HTTP API
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
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.Java plugins
Triggersnoyesyesyes infoUser configurable commands triggered on index changes
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 extensionscloud/distributed (via Zookeeper)
Master-slave replication
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 infoslaves poll the master in predefined intervalls
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 operationsACIDACIDoptimistic locking infoSolr 4
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.yesnono
User concepts infoAccess controlAccess rights for users and rolesfine 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 DocumentDBMicrosoft SQL ServerPostgreSQLSolr
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