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DBMS > Atos Standard Common Repository vs. Citus vs. InterSystems Caché vs. Quasardb vs. Sadas Engine

System Properties Comparison Atos Standard Common Repository vs. Citus vs. InterSystems Caché vs. Quasardb vs. Sadas Engine

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCitus  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonQuasardb  Xexclude from comparisonSadas Engine  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA multi-model DBMS and application serverDistributed, high-performance timeseries databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument store
Key-value store
Relational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.citusdata.comwww.intersystems.com/­products/­cachequasar.aiwww.sadasengine.com
Technical documentationdocs.citusdata.comdocs.intersystems.comdoc.quasar.ai/­masterwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAtos Convergence CreatorsInterSystemsquasardbSADAS s.r.l.
Initial release20162010199720092006
Current release17038.1, December 20182018.1.4, May 20203.14.1, January 20248.0
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infofree trial version available
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 languageJavaCC++C++
Server operating systemsLinuxLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsyesdepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesyes infointeger and binaryyes
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.yesyes infospecific XML type available, but no XML query functionalityyesnono
Secondary indexesyesyesyesyes infowith tagsyes
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsyesSQL-like query languageyes
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesnono
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneSharding infoconsistent hashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoTransient modeyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standard

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More resources
Atos Standard Common RepositoryCitusInterSystems CachéQuasardbSadas Engine
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