![]() Source-replica replication Source-replica replication other methods possible by using 3rd party extensions MapReduce Offers an API for user-defined Map/Reduce methods no no can be realized in PL/SQL no Consistency concepts Methods to ensure consistency in a distributed system Immediate Consistency Immediate Consistency Immediate Consistency Foreign keys Referential integrity yes not for MyISAM storage engine yes yes Transaction concepts Support to ensure data integrity after non-atomic manipulations of data ACID not for MyISAM storage engine ACID isolation level can be parameterized ACID Concurrency Support for concurrent manipulation of data yes table locks or row locks depending on storage engine yes yes Durability Support for making data persistent yes yes yes In-memory capabilities Is there an option to define some or all structures to be held in-memory only. Source-replica replication Multi-source replication Triggers yes yes yes Partitioning methods Methods for storing different data on different nodes horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric Sharding, horizontal partitioning partitioning by range, list and (since PostgreSQL 11) by hash Replication methods Methods for redundantly storing data on multiple nodes Multi-source replication Tcl Server-side scripts Stored procedures yes proprietary syntax PL/SQL also stored procedures in Java possible user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. Streaming API for large objects Supported programming languages Ada Secondary indexes yes yes yes SQL Support of SQL yes with proprietary extensions yes with proprietary extensions yes standard with numerous extensions APIs and other access methods ADO.NET yes yes yes specific XML-type available, but no XML query functionality. support for XML data structures, and/or support for XPath, XQuery or XSLT. Windows Data scheme yes yes Schemaless in JSON and XML columns yes Typing predefined data types such as float or date yes yes yes XML support Some form of processing data in XML format, e.g. Implementation language C and C++ C and C++ C Server operating systems FreeBSD Aiven for PostgreSQL: Fully managed and hosted PostgreSQL® with 70+ extensions and orchestration tooling included. Predictably scale, increase workflow velocity, and deploy features with zero downtime. PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Providers of DBaaS offerings, please contact us to be listed. Commercial licenses with extended functionallity are available commercial restricted free version is available Open Source BSD Cloud-based only Only available as a cloud service no no no DBaaS offerings (sponsored links) Database as a Service ![]() Spatial DBMS DB-Engines Ranking measures the popularity of database management systems Trend Chart Score 1130.45 Rank #2 Overall #2 Relational DBMS Score 1242.10 Rank #1 Overall #1 Relational DBMS Score 620.38 Rank #4 Overall #4 Relational DBMS Website Technical documentation /doc /en/database Developer Oracle since 2010, originally MySQL AB, then Sun Oracle PostgreSQL Global Development Group Initial release 1995 1980 1989 1989: Postgres, 1996: PostgreSQL Current release 8.1.0, July 2023 21c, January 2021 15.4, August 2023 License Commercial or Open Source Open Source GPL version 2. ![]() Spatial DBMS with Oracle Spatial and Graph Document store Handling of key/value pairs with hstore module. Editorial information provided by DB-Engines Name MySQL X exclude from comparison Oracle X exclude from comparison PostgreSQL X exclude from comparison Description Widely used open source RDBMS Widely used RDBMS Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL Primary database model Relational DBMS Key/Value like access via memcached API Relational DBMS Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Please select another system to include it in the comparison. PostgreSQL System Properties Comparison MySQL vs. ![]()
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