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DBMS > Atos Standard Common Repository vs. GeoSpock vs. Kyligence Enterprise vs. Transwarp ArgoDB

System Properties Comparison Atos Standard Common Repository vs. GeoSpock vs. Kyligence Enterprise vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleA distributed analytics engine for big data, built on top of Apache KylinDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comkyligence.io/­kyligence-enterprisewww.transwarp.cn/­en/­product/­argodb
Technical documentationdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperAtos Convergence CreatorsGeoSpockKyligence, Inc.Transwarp
Initial release20162016
Current release17032.0, September 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptJava
Server operating systemsLinuxhostedLinux
Data schemeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesnono
Secondary indexesyestemporal, categoricalyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)ANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsLDAPJDBCJDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindings
Server-side scripts infoStored proceduresnono
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per table

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More resources
Atos Standard Common RepositoryGeoSpockKyligence EnterpriseTranswarp ArgoDB
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