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DBMS > Atos Standard Common Repository vs. Citus vs. DataFS vs. Geode vs. KairosDB

System Properties Comparison Atos Standard Common Repository vs. Citus vs. DataFS vs. Geode vs. KairosDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCitus  Xexclude from comparisonDataFS  Xexclude from comparisonGeode  Xexclude from comparisonKairosDB  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 PostgreSQLAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesDistributed Time Series DBMS based on Cassandra or H2
Primary database modelDocument store
Key-value store
Relational DBMSObject oriented DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.citusdata.comnewdatabase.comgeode.apache.orggithub.com/­kairosdb/­kairosdb
Technical documentationdocs.citusdata.comdev.mobiland.com/­Overview.xspgeode.apache.org/­docskairosdb.github.io
DeveloperAtos Convergence CreatorsMobiland AGOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
Initial release20162010201820022013
Current release17038.1, December 20181.1.263, October 20221.1, February 20171.2.2, November 2018
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaJava
Server operating systemsLinuxLinuxWindowsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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 functionalitynonono
Secondary indexesyesyesnonono
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsnoSQL-like query language (OQL)no
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
Proprietary client DLL
WinRT client
Java Client API
Memcached protocol
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
VB.Net
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsno
Triggersyesyesno, except callback-events from server when changes happenedyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingProprietary Sharding systemShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationselectable replication factor infobased on Cassandra
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 ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardWindows-ProfileAccess rights per client and object definablesimple password-based access control

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More resources
Atos Standard Common RepositoryCitusDataFSGeodeKairosDB
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