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DBMS > MySQL vs. PostgreSQL vs. Vertica

System Properties Comparison MySQL vs. PostgreSQL vs. Vertica

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonPostgreSQL  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionWidely used open source RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational 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.Relational DBMS
Secondary database modelsDocument storeDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1223.63
Rank#2  Overall
#2  Relational DBMS
Score476.62
Rank#4  Overall
#4  Relational DBMS
Score22.55
Rank#29  Overall
#17  Relational DBMS
Websitewww.mysql.comwww.postgresql.orgwww.vertica.com
Technical documentationdev.mysql.com/­docwww.postgresql.org/­docs/­manualswww.vertica.com/­documentation/­vertica
DeveloperOracle infosince 2010, originally MySQL AB, then SunPostgreSQL Global Development Group infowww.postgresql.org/­developerVertica / Micro Focus infoprior to that Hewlett Packard
Initial release19951989 info1989: Postgres, 1996: PostgreSQL2005
Current release8.0.16, April 201911.4, June 2019Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBSDcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoavailable on Amazon AWS and Microsoft Azure
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
  • 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++C
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeyesyesyes infoUnstructured data can be stored in specific Flex-Tables
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.yesyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes infowith proprietary extensionsyes infostandard with numerous extensionsyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsProprietary native API
ADO.NET
JDBC
ODBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Kafka
Proprietary protocol
RESTful HTTP API
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricpartitioning by range, list and (since PostgreSQL 11) by hashSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replication infoother methods possible by using 3rd party extensionsMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineACIDACID
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.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
MySQLPostgreSQLVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» 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 partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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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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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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Dremio is like magic for MySQL accelerating your analytical queries up to 1,000x.
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Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
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Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
» more

General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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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.
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pgDash: In-Depth PostgreSQL Monitoring.
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MySQLPostgreSQLVertica infoVertica Analytics Platform
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Conferences and events

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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