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DBMS > GridGain vs. Netezza

System Properties Comparison GridGain vs. Netezza

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteData warehouse and analytics appliance part of IBM PureSystems
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.33
Rank#154  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#70  Relational DBMS
Score7.01
Rank#50  Overall
#32  Relational DBMS
Websitewww.gridgain.comwww.ibm.com/­products/­netezza
Technical documentationwww.gridgain.com/­docs/­index.html
DeveloperGridGain Systems, Inc.IBM
Initial release20072000
Current releaseGridGain 8.5.1
License infoCommercial or Open Sourcecommercial, open sourcecommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQL
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux infoincluded in appliance
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Users with fine-grained authorization concept

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

GridGain Bolsters Support for Real-Time AI and Analytics
13 May 2025, PR Newswire

GridGain Sponsors Leading Data, Analytics and AI Industry Events
1 May 2025, PR Newswire

Storage news ticker – February 7
7 February 2025, Blocks and Files

GridGain Appoints Mark Lockareff as President and CEO Amid Strong Company Momentum
22 January 2025, PR Newswire

GridGain Names Katherine Barnhisel Rincon as Chief Marketing Officer
20 December 2022, GlobeNewswire

provided by Google News

Introducing IBM Netezza as a Service Bring Your Own Cloud
5 May 2025, IBM

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5 May 2025, ChannelE2E

Netezza and IBM Cloud Pak for Data: A knockout combo for tough data
15 January 2025, IBM

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, Amazon Web Services

Fig. 2: IDAA System Architecture and its Integration into DB2 for zOS
23 October 2024, ResearchGate

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