DBMS > MySQL vs. PostgreSQL vs. Quasardb
System Properties Comparison MySQL vs. PostgreSQL vs. Quasardb
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|Editorial information provided by DB-Engines|
|Name||MySQL Xexclude from comparison||PostgreSQL Xexclude from comparison||Quasardb Xexclude from comparison|
|Description||Widely used open source RDBMS||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Distributed, high-performance timeseries database|
|Primary database model||Relational DBMS Key/Value like access via memcached API||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Time Series DBMS|
|Secondary database models||Document store||Document store|
|Developer||Oracle since 2010, originally MySQL AB, then Sun||PostgreSQL Global Development Group www.postgresql.org/developer||quasardb|
|Initial release||1995||1989 1989: Postgres, 1996: PostgreSQL||2009|
|Current release||8.0.16, April 2019||11.4, June 2019||3.1, January 2019|
|License Commercial or Open Source||Open Source GPL version 2. Commercial licenses with extended functionallity are available||Open Source BSD||commercial Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C and C++||C||C++|
|Server operating systems||FreeBSD|
|Typing predefined data types such as float or date||yes||yes||yes integer and binary|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes||yes specific XML-type available, but no XML query functionality.||no|
|Secondary indexes||yes||yes||yes with tags|
|SQL Support of SQL||yes with proprietary extensions||yes standard with numerous extensions||SQL-like query language|
|APIs and other access methods||Proprietary native API|
|native C library|
streaming API for large objects
|Supported programming languages||Ada|
|Server-side scripts Stored procedures||yes proprietary syntax||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||no|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding consistent hashing|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-master replication|
|Master-slave replication other methods possible by using 3rd party extensions||Master-slave replication with selectable replication factor|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||with Hadoop integration|
|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||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID not for MyISAM storage engine||ACID||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 by using LevelDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no||yes Transient mode|
|User concepts Access control||Users with fine-grained authorization concept no user groups or roles||fine grained access rights according to SQL-standard||Cryptographically strong user authentication and audit trail|
|More information provided by the system vendor|
|Specific characteristics||High-performance , high-speed, fully integrated timeseries database Seamlessly combines...|
|Competitive advantages||High performance in a cost-effective small package Real-time results for even large...|
|Typical application scenarios||Tick database Predictive maintenance Pre-deal checks Large scale monitoring|
|Key customers||Large EU investment banks US based hedge funds Orolia Tellmeplus|
|Market metrics||Has been running in very demanding production environments since 2013 Rapid adoption...|
|Licensing and pricing models||Community edition limited to 2 nodes and 16 GiB of storage per node available for...|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.|
Dremio is like magic for MySQL accelerating your analytical queries up to 1,000x.
Azure Database for MySQL provides fully managed, enterprise-ready community MySQL database as a service
CData: Connect to Big Data & NoSQL through standard Drivers.
Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
SQLPro for MySQL: A simple but powerful MySQL database client available on iPhone and iPad as well as macOS.
ScaleGrid: Fully managed MySQL-as-a-Service.
|Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.|
Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
2ndQuadrant: PostgreSQL Solutions for the Enterprise.
General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
pgDash: In-Depth PostgreSQL Monitoring.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
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|Conferences and events|
PostgreSQL Conference, Asia 2019
PostgreSQL Conference, Europe 2019
Achieving High Availability with PostgreSQL
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