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DBMS > Atos Standard Common Repository vs. ClickHouse vs. InterSystems IRIS vs. Tarantool vs. Trafodion

System Properties Comparison Atos Standard Common Repository vs. ClickHouse vs. InterSystems IRIS vs. Tarantool vs. Trafodion

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonClickHouse  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonTarantool  Xexclude from comparisonTrafodion  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksColumn-oriented Relational DBMS powering YandexA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.87
Rank#44  Overall
#28  Relational DBMS
Score2.41
Rank#123  Overall
#23  Document stores
#24  Key-value stores
#2  Object oriented DBMS
#60  Relational DBMS
Score1.77
Rank#143  Overall
#27  Key-value stores
Score0.64
Rank#243  Overall
#115  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryclickhouse.techwww.intersystems.com/­products/­intersystems-iriswww.tarantool.iotrafodion.apache.org
Technical documentationclickhouse.tech/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.tarantool.io/­en/­doctrafodion.apache.org
DeveloperAtos Convergence CreatorsClickhouse Inc.InterSystemsVKApache Software Foundation, originally developed by HP
Initial release20162016201820082014
Current release1703v22.8.5.29-lts, September 20222021.1, June 20212.10.0, May 20222.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++C++, Java
Server operating systemsLinuxFreeBSD
Linux
macOS
AIX
Linux
macOS
Windows
BSD
Linux
macOS
Linux
Data schemeSchema and schema-less with LDAP viewsyesdepending on used data modelschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateoptionalyesyesstring, double, decimal, uuid, integer, blob, booleanyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnoyesnono
Secondary indexesyesyes, when using the MergeTree engineyesyesyes
SQL infoSupport of SQLnoClose to ANSI SQLyesFull-featured ANSI SQL supportyes
APIs and other access methodsLDAPHTTP REST
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
Open binary protocolADO.NET
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoyesLua, C and SQL stored proceduresJava Stored Procedures
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingHash sharding based on virtual bucketsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes, with SQLyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACID, read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyesyesyes, regular snapshots on disk, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes, full featured in-memory storage engine with persistenceno
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and rolesyesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryClickHouseInterSystems IRISTarantoolTrafodion
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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