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DBMS > Microsoft SQL Server vs. PostgreSQL vs. Spark SQL

System Properties Comparison Microsoft SQL Server vs. PostgreSQL vs. Spark SQL

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Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionMicrosofts relational DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
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.Relational DBMS
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
Score16.14
Rank#35  Overall
#21  Relational DBMS
Websitewww.microsoft.com/­en-us/­sql-serverwww.postgresql.orgspark.apache.org/­sql
Technical documentationdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationwww.postgresql.org/­docs/­manualsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software Foundation
Initial release19891989 info1989: Postgres, 1996: PostgreSQL2014
Current releaseSQL Server 2019, November 201912.0, October 2019v2.4.4, September 2019
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CScala
Server operating systemsLinux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLyesyes infostandard with numerous extensionsSQL-like DML and DDL statements
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
JDBC
ODBC
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
Java
Python
R
Scala
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.no
Triggersyesyesno
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 hashyes, utilizing Spark Core
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 extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
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.yesnono
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for SQL Server gives you a fully graphical approach to database management and development.
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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ERBuilder provides all the features you would expect from a professional database modeling and design tool.
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Dremio is like magic for SQL Server accelerating your analytical queries up to 1,000x.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
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DBHawk is a web-based data management Tool for a SQL Server database.
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SQLPro for MSSQL: A simple but powerful Microsoft SQL Server database client available on iPhone and iPad as well as macOS.
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pgDash: In-Depth PostgreSQL Monitoring.
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CYBERTEC: your professional partner for PostgreSQL services and Data Science based on PostgreSQL since 2000. With offices in Austria, Uruguay, Estonia and Switzerland, CYBERTEC operates worldwide!
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DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
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Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
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SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
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2ndQuadrant: PostgreSQL Solutions for the Enterprise.
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Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Microsoft SQL ServerPostgreSQLSpark SQL
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