DBMS > Altibase vs. Netezza vs. SAP IQ

System Properties Comparison Altibase vs. Netezza vs. SAP IQ

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

Data warehouse and analytics appliance part of IBM PureSystems

Columnar RDBMS optimized for Big Data analytics

Primary database model

Relational DBMS

column-oriented

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.83
Rank	#203	Overall
	#95	Relational DBMS

Score	6.45
Rank	#53	Overall
	#32	Relational DBMS

Score	2.33
Rank	#103	Overall
	#51	Relational DBMS

Website

altibase.com

www.ibm.com/products/netezza

www.sap.com/products/technology-platform/sybase-iq-big-data-management.html

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

help.sap.com/docs/SAP_IQ

Developer

Altibase

IBM

SAP, formerly Sybase

Initial release

1999

2000

1994

Current release

v7.3, 2023, August 2023

16.1 SPS04, April 2019

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

AIX
HP-UX
Linux

Linux

included in appliance

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

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

ANSI SQL-92

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol

JDBC
ODBC
OLE DB

ADO.NET
JDBC
ODBC
RESTful HTTP API

Supported programming languages

C
C++
Java

C
C++
Fortran
Java
Lua
Perl
Python
R

C
C#
C++
Java
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

shared disk or shared nothing architectures with SAP IQ Multiplexer

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

SAP/Sybase Replication Server

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

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.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept

fine grained access rights according to SQL-standard

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