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DBMS > Microsoft SQL Server vs. PostgreSQL vs. Riak KV

System Properties Comparison Microsoft SQL Server vs. PostgreSQL vs. Riak KV

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Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionMicrosofts relational DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Graph DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1081.91
Rank#3  Overall
#3  Relational DBMS
Score491.07
Rank#4  Overall
#4  Relational DBMS
Score5.67
Rank#57  Overall
#9  Key-value stores
Websitewww.microsoft.com/­en-us/­sql-serverwww.postgresql.orgbasho.com/­products/­riak-kv
Technical documentationdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationwww.postgresql.org/­docs/­manuals
DeveloperMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerBasho Technologies
Initial release19891989 info1989: Postgres, 1996: PostgreSQL2009
Current releaseSQL Server 2019, November 201912.0, October 20192.1.0, April 2015
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoBSDOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CErlang
Server operating systemsLinux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesrestricted
SQL infoSupport of SQLyesyes infostandard with numerous extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Native Erlang Interface
Supported programming languagesC#
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 infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresTransact 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.JavaScript and Erlang
Triggersyesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationpartitioning by range, list and (since PostgreSQL 11) by hashSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server EditionMaster-slave replication infoother methods possible by using 3rd party extensionsselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine 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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Microsoft SQL ServerPostgreSQLRiak KV
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