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DBMS > MySQL vs. Oracle NoSQL vs. PostgreSQL

System Properties Comparison MySQL vs. Oracle NoSQL vs. PostgreSQL

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionWidely used open source RDBMSKey-value store based on Berkeley DB Java EditionWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMS infoKey/Value like access via memcached APIKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1229.52
Rank#2  Overall
#2  Relational DBMS
Score3.46
Rank#78  Overall
#12  Key-value stores
Score483.28
Rank#4  Overall
#4  Relational DBMS
Websitewww.mysql.comwww.oracle.com/­database/­nosql/­index.htmlwww.postgresql.org
Technical documentationdev.mysql.com/­docdocs.oracle.com/­cd/­NOSQL/­index.htmlwww.postgresql.org/­docs/­manuals
DeveloperOracle infosince 2010, originally MySQL AB, then SunOraclePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release199520111989 info1989: Postgres, 1996: PostgreSQL
Current release8.0.16, April 201918.3, November 201811.4, June 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache V2 for Community Edition, proprietary license for Enterprise EditionOpen 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
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • ScaleGrid: Fully managed PostgreSQL hosting with high availability, dedicated servers, and superuser control on the #1 multi-cloud Amazon RDS alternative.
  • 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++JavaC
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
Solaris SPARC/x86
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesoptional, scheme definition possible with AVRO or in 'table-style'yes
Typing infopredefined data types such as float or dateyesoptionalyes
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.yesnoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyes infostandard with numerous extensions
APIs and other access methodsProprietary native API
ADO.NET
JDBC
ODBC
RESTful HTTP APInative 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
C
C#
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoproprietary syntaxnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL FabricShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Electable Master-Slave per shardMaster-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineconfigurable infoACID within a storage node (=shard)ACID
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.yesyes infooff heap cacheno
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
MySQLOracle NoSQLPostgreSQL
Specific characteristicsOracle NoSQL Database is a scalable , distributed NoSQL database, designed to provide...
» more
Competitive advantagesData can be modeled as relational-database-style tables, JSON documents, RDF Triples...
» more
Typical application scenariosInternet of Things where large volume of data needs to be stored and processed very...
» more
Key customersLarge credit card company Airbus NTT Docomo Global rewards company
» more
Market metricsOracle NoSQL Database is used by hundreds of companies around the world. Oracle NoSQL...
» more
Licensing and pricing modelsOracle NoSQL Database Enterprise Edition can be purchased under the Oracle Commercial...
» 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.

Related products and services
3rd partiesDremio is like magic for MySQL accelerating your analytical queries up to 1,000x.
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Azure Database for MySQL provides fully managed, enterprise-ready community MySQL database as a service
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Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
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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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ScaleGrid: Fully managed MySQL-as-a-Service.
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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2ndQuadrant: PostgreSQL Solutions for the Enterprise.
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SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
» more

Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
» more

pgDash: In-Depth PostgreSQL Monitoring.
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Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
» more

Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
» more

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

More resources
MySQLOracle NoSQLPostgreSQL
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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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