DBMS > DataFS vs. Netezza

System Properties Comparison DataFS vs. Netezza

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Name

Description

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

Data warehouse and analytics appliance part of IBM PureSystems

Primary database model

Object oriented DBMS

Relational DBMS

Secondary database models

Graph DBMS

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	#18	Object oriented DBMS

Score	7.34
Rank	#48	Overall
	#30	Relational DBMS

Website

newdatabase.com

www.ibm.com/products/netezza

Technical documentation

dev.mobiland.com/Overview.xsp

Developer

Mobiland AG

IBM

Initial release

2018

2000

Current release

1.1.263, October 2022

License

Commercial or Open Source

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Server operating systems

Windows

Linux

included in appliance

Data scheme

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

.NET Client API
Proprietary client DLL
WinRT client

JDBC
ODBC
OLE DB

Supported programming languages

.Net
C
C#
C++
VB.Net

C
C++
Fortran
Java
Lua
Perl
Python
R

Server-side scripts

Stored procedures

yes

Triggers

no, except callback-events from server when changes happened

Partitioning methods

Methods for storing different data on different nodes

Proprietary Sharding system

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Windows-Profile

Users with fine-grained authorization concept

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More resources

Recent citations in the news

Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, IBM

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

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

IBM Completes Acquisition of Netezza
26 October 2017, PR Newswire

U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
22 March 2023, businesswire.com

provided by Google News

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