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DBMS > Dolt vs. MySQL vs. PostgreSQL

System Properties Comparison Dolt vs. MySQL vs. PostgreSQL

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonMySQL  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaWidely used open source RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRelational 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.
Secondary database modelsDocument storeDocument store
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.36
Rank#187  Overall
#90  Relational DBMS
Score1126.64
Rank#2  Overall
#2  Relational DBMS
Score650.90
Rank#4  Overall
#4  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.mysql.comwww.postgresql.org
Technical documentationdocs.dolthub.comdev.mysql.com/­docwww.postgresql.org/­docs
DeveloperDoltHub IncOracle infosince 2010, originally MySQL AB, then SunPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201819951989 info1989: Postgres, 1996: PostgreSQL
Current release8.2.0, October 202316.1, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen 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.
  • PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
  • Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageGoC and C++C
Server operating systemsLinux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyes infostandard with numerous extensions
APIs and other access methodsCLI Client
HTTP REST
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Ada
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
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
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.yesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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

More resources
DoltMySQLPostgreSQL
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