DBMS > Atos Standard Common Repository vs. mSQL vs. SiteWhere vs. SWC-DB vs. YTsaurus

System Properties Comparison Atos Standard Common Repository vs. mSQL vs. SiteWhere vs. SWC-DB vs. YTsaurus

Editorial information provided by DB-Engines

Name

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

Description

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

mSQL (Mini SQL) is a simple and lightweight RDBMS

M2M integration platform for persisting/querying time series data

A high performance, scalable Wide Column DBMS

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Document store
Key-value store

Relational DBMS

Time Series DBMS

Wide column store

Document store
Key-value store

Secondary database models

Time Series DBMS

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

Score	1.27
Rank	#169	Overall
	#76	Relational DBMS

Score	0.06
Rank	#383	Overall
	#43	Time Series DBMS

Score	0.08
Rank	#364	Overall
	#13	Wide column stores

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

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

hughestech.com.au/products/msql

github.com/sitewhere/sitewhere

github.com/kashirin-alex/swc-db
www.swcdb.org

ytsaurus.tech

Technical documentation

sitewhere1.sitewhere.io/index.html

ytsaurus.tech/docs/en

Developer

Atos Convergence Creators

Hughes Technologies

SiteWhere

Alex Kashirin

Yandex

Initial release

2016

1994

2010

2020

2023

Current release

1703

4.4, October 2021

0.5, April 2021

License

Commercial or Open Source

commercial

free licenses can be provided

Open Source

Common Public Attribution License Version 1.0

Open Source

GPL V3

Open Source

Apache License, Version 2.0

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.

Implementation language

Java

C++

Server operating systems

Linux

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Linux
OS X
Windows

Linux

Ubuntu

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

A subset of ANSI SQL is implemented

no subqueries, aggregate functions, views, foreign keys, triggers

SQL-like query language

YQL, an SQL-based language, is supported

APIs and other access methods

LDAP

JDBC
ODBC

HTTP REST

Proprietary protocol
Thrift

Supported programming languages

All languages with LDAP bindings

C
C++
Delphi
Java
Perl
PHP
Tcl

C++

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

none

Sharding

based on HBase

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

selectable replication factor

based on HBase

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

none

Immediate Consistency

Foreign keys

Referential integrity

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

Users with fine-grained authorization concept

Access Control Lists

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