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DBMS > Netezza

Netezza System Properties

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM
DescriptionData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.38
Rank#37  Overall
#23  Relational DBMS
Websitewww.ibm.com/­products/­netezza
DeveloperIBM
Initial release2000
License infoCommercial or Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemsLinux infoincluded in appliance
Data schemeyes
Typing infopredefined data types such as float or dateyes
Secondary indexesyes
SQL infoSupport of SQLyes
APIs and other access methodsJDBC
ODBC
OLE DB
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
User concepts infoAccess controlUsers with fine-grained authorization concept

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More resources
Netezza infoAlso called PureData System for Analytics by IBM
Recent citations in the news

Smart Associates' New Products Increase IBM Netezza Data Warehouse Return on Investment
13 January 2022, openPR

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

IBM launches new Netezza appliance, eyes big data
21 June 2011, ZDNet

IBM to Acquire Netezza for $1.78 Billion
20 September 2010, The Wall Street Journal

Financial Service Institutions Embark on Cloud Data Makeover as Legacy Solutions Sunset
18 May 2022, Finextra

provided by Google News

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