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DBMS > Atos Standard Common Repository vs. Citus vs. OrigoDB vs. Sadas Engine vs. Sphinx

System Properties Comparison Atos Standard Common Repository vs. Citus vs. OrigoDB vs. Sadas Engine vs. Sphinx

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCitus  Xexclude from comparisonOrigoDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  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 networksScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA fully ACID in-memory object graph databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Object oriented DBMS
Relational DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#123  Overall
#60  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score0.03
Rank#379  Overall
#156  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.citusdata.comorigodb.comwww.sadasengine.comsphinxsearch.com
Technical documentationdocs.citusdata.comorigodb.com/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docs
DeveloperAtos Convergence CreatorsRobert Friberg et alSADAS s.r.l.Sphinx Technologies Inc.
Initial release201620102009 infounder the name LiveDB20062001
Current release17038.1, December 20188.03.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availableOpen Sourcecommercial infofree trial version availableOpen Source infoGPL version 2, commercial licence 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++C++
Server operating systemsLinuxLinuxLinux
Windows
AIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyesUser defined using .NET types and collectionsyesno
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 functionalityno infocan be achieved using .NETno
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsnoyesSQL-like query language (SphinxQL)
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Proprietary protocol
Proprietary protocol
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesnono
Triggersyesyesyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardinghorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardRole based authorizationAccess rights for users, groups and roles according to SQL-standardno

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More resources
Atos Standard Common RepositoryCitusOrigoDBSadas EngineSphinx
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