DBMS > IBM Db2 vs. Microsoft SQL Server vs. PostgreSQL

System Properties Comparison IBM Db2 vs. Microsoft SQL Server vs. PostgreSQL

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Editorial information provided by DB-Engines

Name

Description

Common in IBM host environments, 2 different versions for host and Windows/Linux

Microsofts relational DBMS

Widely used open source RDBMS info

Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL

Primary database model

Relational DBMS info

Since Version 10.5 support for JSON/BSON documents compatible with MongoDB

Relational DBMS

Relational DBMS info

with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.

Secondary database models

Document store
RDF store info

in DB2 LUW (Linux, Unix, Windows)

Document store
Graph DBMS

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	162.45
Rank	#6	Overall
	#5	Relational DBMS

Score	1075.87
Rank	#3	Overall
	#3	Relational DBMS

Score	536.77
Rank	#4	Overall
	#4	Relational DBMS

Website

www.ibm.com/analytics/db2

www.microsoft.com/en-us/sql-server

www.postgresql.org

Technical documentation

www.ibm.com/support/knowledgecenter/SSEPGG

docs.microsoft.com/en-ie/sql/sql-server/sql-server-technical-documentation

www.postgresql.org/docs/manuals

Developer

IBM

Microsoft

PostgreSQL Global Development Group info

www.postgresql.org/developer

Initial release

1983

host version

1989

1989: Postgres, 1996: PostgreSQL

Current release

12.1, October 2016

SQL Server 2019, November 2019

12.3, May 2020

License

Commercial or Open Source

commercial info

free version is available

commercial info

restricted free version is available

Open Source info

BSD

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost

Implementation language

C and C++

C++

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows
z/OS

Linux
Windows

FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

SQL

Support of SQL

yes

standard with numerous extensions

APIs and other access methods

ADO.NET
JDBC
JSON style queries info

MongoDB compatible
ODBC
XQuery

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic

C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic

.Net
C
C++
Delphi
Java info

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts info

Stored procedures

yes

Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java

user defined functions info

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

only with Windows/Unix/Linux Version

tables can be distributed across several files (horizontal partitioning); sharding through federation

partitioning by range, list and (since PostgreSQL 11) by hash

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

with separate tools (MQ, InfoSphere)

yes, but depending on the SQL-Server Edition

Source-replica replication info

other methods possible by using 3rd party extensions

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts info

Access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
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More resources

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Conferences and events

more DBMS events

PostgreSQL Online Trainings
Online Training Courses, 4 May 2020 - 11 December 2020

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