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DBMS > Microsoft Access vs. MySQL vs. PostgreSQL

System Properties Comparison Microsoft Access vs. MySQL vs. PostgreSQL

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Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonMySQL  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Widely used open source RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score141.01
Rank#9  Overall
#6  Relational DBMS
Score1223.63
Rank#2  Overall
#2  Relational DBMS
Score476.62
Rank#4  Overall
#4  Relational DBMS
Websiteproducts.office.com/­en-us/­accesswww.mysql.comwww.postgresql.org
Technical documentationmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxdev.mysql.com/­docwww.postgresql.org/­docs/­manuals
DeveloperMicrosoftOracle infosince 2010, originally MySQL AB, then SunPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release199219951989 info1989: Postgres, 1996: PostgreSQL
Current release1902 (16.0.11328.20222), March 20198.0.16, April 201911.3, May 2019
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
Implementation languageC++C and C++C
Server operating systemsWindows infoNot a real database server, but making use of DLLsFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
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.
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardyes infowith proprietary extensionsyes infostandard with numerous extensions
APIs and other access methodsDAO
OLE DB
ADO.NET
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication
Master-slave replication
Master-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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