DBMS > Atos Standard Common Repository vs. SAP IQ vs. SiteWhere vs. Yanza

System Properties Comparison Atos Standard Common Repository vs. SAP IQ vs. SiteWhere vs. Yanza

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Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

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

Description

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

Columnar RDBMS optimized for Big Data analytics

M2M integration platform for persisting/querying time series data

Time Series DBMS for IoT Applications

Primary database model

Document store
Key-value store

Relational DBMS

column-oriented

Time Series DBMS

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

Score	2.64
Rank	#108	Overall
	#52	Relational DBMS

Score	0.06
Rank	#383	Overall
	#43	Time Series DBMS

Website

atos.net/en/convergence-creators/portfolio/standard-common-repository

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

github.com/sitewhere/sitewhere

yanza.com

Technical documentation

help.sap.com/docs/SAP_IQ

sitewhere1.sitewhere.io/index.html

Developer

Atos Convergence Creators

SAP, formerly Sybase

SiteWhere

Yanza

Initial release

2016

1994

2010

2015

Current release

1703

16.1 SPS04, April 2019

License

Commercial or Open Source

commercial

Open Source

Common Public Attribution License Version 1.0

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

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

Implementation language

Java

Server operating systems

Linux

AIX
HP-UX
Linux
Solaris
Windows

Linux
OS X
Windows

Windows

Data scheme

Schema and schema-less with LDAP views

yes

predefined scheme

schema-free

Typing

predefined data types such as float or date

optional

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

LDAP

ADO.NET
JDBC
ODBC
RESTful HTTP API

HTTP REST

HTTP API

Supported programming languages

All languages with LDAP bindings

C
C#
C++
Java
Perl
PHP
Python
Ruby

any language that supports HTTP calls

Server-side scripts

Stored procedures

yes

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

shared disk or shared nothing architectures with SAP IQ Multiplexer

Sharding

based on HBase

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

SAP/Sybase Replication Server

selectable replication factor

based on HBase

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 or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomic execution of specific operations

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

LDAP bind authentication

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept

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