DBMS > atoti vs. SAP IQ vs. Yanza

System Properties Comparison atoti vs. SAP IQ vs. Yanza

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Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

Columnar RDBMS optimized for Big Data analytics

Time Series DBMS for IoT Applications

Primary database model

Object oriented DBMS

Relational DBMS

column-oriented

Time Series DBMS

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

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	2.75
Rank	#104	Overall
	#53	Relational DBMS

Website

atoti.io

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

yanza.com

Technical documentation

docs.atoti.io

help.sap.com/docs/SAP_IQ

Developer

ActiveViam

SAP, formerly Sybase

Yanza

Initial release

1994

2015

Current release

16.1 SPS04, April 2019

License

Commercial or Open Source

commercial

free versions available

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows

Windows

Data scheme

yes

schema-free

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

Multidimensional Expressions (MDX)

yes

APIs and other access methods

ADO.NET
JDBC
ODBC
RESTful HTTP API

HTTP API

Supported programming languages

C
C#
C++
Java
Perl
PHP
Python
Ruby

any language that supports HTTP calls

Server-side scripts

Stored procedures

Python

yes

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

shared disk or shared nothing architectures with SAP IQ Multiplexer

none

Replication methods

Methods for redundantly storing data on multiple nodes

SAP/Sybase Replication Server

none

MapReduce

Offers an API for user-defined Map/Reduce methods

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, multi-version concurrency control (MVCC)

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

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More resources

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