DBMS > Atos Standard Common Repository vs. ClickHouse vs. InterSystems IRIS vs. Microsoft Azure SQL Database

System Properties Comparison Atos Standard Common Repository vs. ClickHouse vs. InterSystems IRIS vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	ClickHouse  Xexclude from comparison	InterSystems IRIS  Xexclude from comparison	Microsoft Azure SQL Database formerly SQL Azure  Xexclude from comparison
	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	Column-oriented Relational DBMS powering Yandex	A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability	Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database model	Document store Key-value store	Relational DBMS	Document store Key-value store Object oriented DBMS Relational DBMS	Relational DBMS
Secondary database models		Time Series DBMS		Document store Graph DBMS Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 12.71 Rank #46   Overall #30   Relational DBMS	Score 2.25 Rank #119   Overall #22   Document stores #23   Key-value stores #2   Object oriented DBMS #59   Relational DBMS	Score 84.89 Rank #15   Overall #10   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	clickhouse.tech	www.intersystems.com/­products/­intersystems-iris	azure.microsoft.com/­en-us/­services/­sql-database
Technical documentation		clickhouse.tech/­docs	docs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls	docs.microsoft.com/­en-us/­azure/­azure-sql
Developer	Atos Convergence Creators	Clickhouse Inc.	InterSystems	Microsoft
Initial release	2016	2016	2018	2010
Current release	1703	v22.4.5.9-stable, May 2022	2021.1, June 2021	V12
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++		C++
Server operating systems	Linux	FreeBSD Linux macOS	AIX Linux macOS Windows	hosted
Data scheme	Schema and schema-less with LDAP views	yes	depending on used data model	yes
Typing predefined data types such as float or date	optional	yes	yes	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	no	yes	yes
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	Close to ANSI SQL	yes	yes
APIs and other access methods	LDAP	HTTP REST JDBC ODBC Proprietary protocol	JDBC ODBC RESTful HTTP API	ADO.NET JDBC ODBC
Supported programming languages	All languages with LDAP bindings	C# 3rd party library C++ Elixir 3rd party library Go 3rd party library Java 3rd party library JavaScript (Node.js) 3rd party library Kotlin 3rd party library Nim 3rd party library Perl 3rd party library PHP 3rd party library Python 3rd party library R 3rd party library Ruby 3rd party library Scala 3rd party library	.Net C++ Java JavaScript (Node.js) Python	.Net C# Java JavaScript (Node.js) PHP Python Ruby
Server-side scripts Stored procedures	no	no	yes	Transact SQL
Triggers	yes	no	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes		Source-replica replication	yes, with always 3 replicas available
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	yes
User concepts Access control	LDAP bind authentication	Access rights for users and roles	yes	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	ClickHouse	InterSystems IRIS	Microsoft Azure SQL Database formerly SQL Azure
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