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DBMS > MySQL vs. PostgreSQL vs. RethinkDB

System Properties Comparison MySQL vs. PostgreSQL vs. RethinkDB

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionWidely used open source RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational 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.Document store
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1223.63
Rank#2  Overall
#2  Relational DBMS
Score476.62
Rank#4  Overall
#4  Relational DBMS
Score4.15
Rank#71  Overall
#13  Document stores
Websitewww.mysql.comwww.postgresql.orgrethinkdb.com
Technical documentationdev.mysql.com/­docwww.postgresql.org/­docs/­manualsrethinkdb.com/­docs
DeveloperOracle infosince 2010, originally MySQL AB, then SunPostgreSQL Global Development Group infowww.postgresql.org/­developerThe Linux Foundation infosince July 2017
Initial release19951989 info1989: Postgres, 1996: PostgreSQL2009
Current release8.0.16, April 201911.4, June 20192.3.6, July 2017
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBSDOpen Source infoApache Version 2
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.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • 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
Implementation languageC and C++CC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometry
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 indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyes infostandard with numerous extensionsno
APIs and other access methodsProprietary native API
ADO.NET
JDBC
ODBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesAda
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
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
TriggersyesyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricpartitioning by range, list and (since PostgreSQL 11) by hashSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replication infoother methods possible by using 3rd party extensionsMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyesyes infoMVCC based
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 controlUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardyes infousers and table-level permissions

More information provided by the system vendor

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SQLPro for MySQL: A simple but powerful MySQL database client available on iPhone and iPad as well as macOS.
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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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SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
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pgDash: In-Depth PostgreSQL Monitoring.
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MySQLPostgreSQLRethinkDB
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PostgreSQL Conference, Europe 2019
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Webinar, 4PM UTC, 26 February 2019 (finished)

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