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DBMS > MemSQL vs. MySQL vs. PostgreSQL

System Properties Comparison MemSQL vs. MySQL vs. PostgreSQL

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Editorial information provided by DB-Engines
NameMemSQL  Xexclude from comparisonMySQL  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storageWidely 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 storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.73
Rank#76  Overall
#40  Relational DBMS
Score1215.14
Rank#2  Overall
#2  Relational DBMS
Score478.72
Rank#4  Overall
#4  Relational DBMS
Websitewww.memsql.comwww.mysql.comwww.postgresql.org
Technical documentationdocs.memsql.comdev.mysql.com/­docwww.postgresql.org/­docs/­manuals
DeveloperMemSQL Inc.Oracle infosince 2010, originally MySQL AB, then SunPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201319951989 info1989: Postgres, 1996: PostgreSQL
Current release6.7, November 20188.0.15, February 201911.2, February 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen 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.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • 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
Implementation languageC++C and C++C
Server operating systemsLinux info64 bit version requiredFreeBSD
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 SQLyes, but no triggers and foreign keysyes infowith proprietary extensionsyes infostandard with numerous extensions
APIs and other access methodsJDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesBash
C
C#
Java
JavaScript (Node.js)
Python
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 proceduresyesyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal 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 nodesMaster-slave replicationMaster-master replication
Master-slave replication
Master-slave 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 Consistency only within each nodeImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOnly isolation level: READ COMMITEDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes 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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
MemSQLMySQLPostgreSQL
Specific characteristicsMemSQL is The No Limits Database™, powering modern applications and analytical systems...
» more
Competitive advantagesPerformance - Shattering the Trillion-Rows-Per-Second Barrier Fast data ingest -...
» more
Typical application scenariosReal-Time Analytics Internet of Things Personalization and Recommendations Risk Management...
» more
Key customersComcast - Real-time Stream Processing Architecture DellEMC - Getting it Right Exactly...
» more
Market metricsCustomers in various industries worldwide -- US and International Industry Solutions:...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» 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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Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MemSQLMySQLPostgreSQL
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Conferences and events

PGCon 2019, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 28-31 May 2019

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

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