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DBMS > MySQL vs. Netezza vs. PostgreSQL

System Properties Comparison MySQL vs. Netezza vs. PostgreSQL

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionWidely used open source RDBMSData warehouse and analytics appliance part of IBM PureSystemsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMS infoKey/Value like access via memcached APIRelational DBMSRelational 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1215.14
Rank#2  Overall
#2  Relational DBMS
Score20.19
Rank#33  Overall
#20  Relational DBMS
Score478.72
Rank#4  Overall
#4  Relational DBMS
Websitewww.mysql.comwww.ibm.com/­analytics/­netezzawww.postgresql.org
Technical documentationdev.mysql.com/­docwww.postgresql.org/­docs/­manuals
DeveloperOracle infosince 2010, originally MySQL AB, then SunIBMPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release199520001989 info1989: Postgres, 1996: PostgreSQL
Current release8.0.15, February 201911.2, February 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercialOpen 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.
  • 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
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
Implementation languageC and C++C
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux infoincluded in applianceFreeBSD
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.yesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesyes infostandard with numerous extensions
APIs and other access methodsProprietary native API
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
native C library
streaming API for large objects
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
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoproprietary syntaxyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL FabricShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationMaster-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage enginenoyes
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 rolesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

More information provided by the system vendor

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

More resources
MySQLNetezza infoAlso called PureData System for Analytics by IBMPostgreSQL
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Conferences and events

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

Finished events

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

Recent citations in the news

Oracle splats 300 vulns in MySQL, Database, Fusion, etc, pours fresh brew of Java SE terms
16 April 2019, The Register

Oracle Management Software Supplier Adds Security Patching for MySQL and SQL Server
16 April 2019, Database Trends and Applications

Using Ethereum Logic Apps to push ledger data into to a MySQL or PostgreSQL database - Microsoft
25 March 2019, Channel 9

Top 10 Database Diagram Tools for MySQL
2 April 2019, Database Journal

Murach's MySQL 3rd Ed (Murach)
10 April 2019, iProgrammer

provided by Google News

Google looks to poach workloads for its cloud data warehouse
29 March 2019, TechTarget

Breaking through Netezza End-of-Life
30 October 2018, Database Trends and Applications

Netezza SQL: GROUP_CONCAT, REPLACE and the Data Sampling Trick
31 January 2019, Toolbox

Netezza And The Limits of the INFORMATION_SCHEMA
29 August 2018, Toolbox

Data storage startup ClearSky raises $20M, signs major partnership
13 November 2018, Boston Business Journal

provided by Google News

Building a scalable PostgreSQL solution
14 April 2019, Packt Hub

PostgreSQL security: a quick look at authentication best practices [Tutorial]
12 April 2019, Packt Hub

"Feature" of PostgreSQL 9.3 could enable hackers to execute code; affects Mac, Windows, Linux
1 April 2019, SC Magazine UK

Swarm64 Introduces Hardware Accelerator for PostgreSQL on Xilinx Alveo Accelerator Cards
27 March 2019, Finger Lakes Times

Using Ethereum Logic Apps to push ledger data into to a MySQL or PostgreSQL database - Microsoft
25 March 2019, Channel 9

provided by Google News

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