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DBMS > MySQL vs. PostgreSQL vs. Sequoiadb

System Properties Comparison MySQL vs. PostgreSQL vs. Sequoiadb

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionWidely used open source RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLNewSQL database with distributed OLTP and SQL
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
Relational DBMS
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
Score0.33
Rank#230  Overall
#30  Document stores
#109  Relational DBMS
Websitewww.mysql.comwww.postgresql.orgwww.sequoiadb.com
Technical documentationdev.mysql.com/­docwww.postgresql.org/­docs/­manualswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperOracle infosince 2010, originally MySQL AB, then SunPostgreSQL Global Development Group infowww.postgresql.org/­developerSequoiadb Ltd.
Initial release19951989 info1989: Postgres, 1996: PostgreSQL2013
Current release8.0.16, April 201911.4, June 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBSDOpen Source infoServer: AGPL; Client: Apache V2
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 and C++CC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regex
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 extensionsSQL-like query language
APIs and other access methodsProprietary native API
ADO.NET
JDBC
ODBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
proprietary protocol using JSON
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
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.JavaScript
Triggersyesyesno
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
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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual 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 engineACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyesyes
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-standardsimple password-based access control
More information provided by the system vendor
MySQLPostgreSQLSequoiadb
Specific characteristicsSequoiaDB is a financial-level distributed database including three storage modes:...
» more
Competitive advantagesSequoiaDB provides a leading OLTP solution in the industry, and perfectly addresses...
» more
Typical application scenariosAs a financial-level distributed database management system, SequoiaDB supports distributed...
» more
Key customersChina Minsheng Bank ​ Bank of China Hengfeng Bank China GUANGFA Bank PICC China Mobile...
» more
Market metrics2017,2018 Gartner’s Database Report Listed More than 1000 enterprise customers and...
» more
Licensing and pricing modelsOpen source GPL/Commercial licensing for enterprise version and services
» more

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.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MySQLPostgreSQLSequoiadb
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Conferences and events

PostgreSQL Conference, Asia 2019
Denpasar, Bali, Indonesia, 9-12 September 2019

PostgreSQL Conference, Europe 2019
Milan, Italy, 15-18 October 2019

Finished events

Achieving High Availability with PostgreSQL
Webinar, 4PM UTC, 26 February 2019 (finished)

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