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DBMS > Netezza vs. PostgreSQL vs. SAP SQL Anywhere vs. Yaacomo

System Properties Comparison Netezza vs. PostgreSQL vs. SAP SQL Anywhere vs. Yaacomo

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.61
Rank#33  Overall
#20  Relational DBMS
Score507.19
Rank#4  Overall
#4  Relational DBMS
Score5.79
Rank#56  Overall
#32  Relational DBMS
Score0.00
Rank#334  Overall
#137  Relational DBMS
Websitewww.ibm.com/­analytics/­netezzawww.postgresql.orgwww.sap.com/­products/­sql-anywhere.htmlyaacomo.com
Technical documentationwww.postgresql.org/­docs/­manualshelp.sap.com/­sql-anywhere
DeveloperIBMPostgreSQL Global Development Group infowww.postgresql.org/­developerSAP infoformerly SybaseQ2WEB GmbH
Initial release20001989 info1989: Postgres, 1996: PostgreSQL19922009
Current release12.1, November 201917, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemsLinux infoincluded in applianceFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infostandard with numerous extensionsyesyes
APIs and other access methodsJDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, in C/C++, Java, .Net or Perl
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replication infoother methods possible by using 3rd party extensionsMaster-slave replication infoDatabase mirroringMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

More information provided by the system vendor

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More resources
Netezza infoAlso called PureData System for Analytics by IBMPostgreSQLSAP SQL Anywhere infoformerly called Adaptive Server AnywhereYaacomo
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Conferences and events

PGCon 2020, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 26-29 May 2020

Recent citations in the news

RIP Netezza, IBM’s FPGA-powered data warehousing dream
3 July 2019, The Register

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

Active Data Warehousing Market By Market Dynamics Forces, New Market Opportunities, Production Cost Analysis & Industry Development 2026 - Expedition 99
23 January 2020, Expedition 99

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

Netezza SQL Versus Oracle SQL; Things I Did Not Know
15 August 2018, Toolbox

provided by Google News

Aqua Data Studio Version 20.5 Introduces Support for Amazon RDS
14 January 2020, Yahoo Finance

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21 January 2020, The Market Journal

GitLab 12.7 adds parent-child pipelines for increased performance
23 January 2020, JAXenter

Global NoSQL Market Key Business Opportunities | Microsoft SQL Server, MySQL, MongoDB, PostgreSQL - Expedition 99
23 January 2020, Expedition 99

Hands-on SQL in PostgreSQL
16 December 2019, Database Journal

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SAP gives SQL Anywhere a new IoT injection
16 July 2015, Computerworld

SAP SQL Anywhere
13 October 2016, TechTarget

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2 April 2018, TechTarget

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28 December 2015, TechTarget

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13 February 2018, DATAQUEST

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