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DBMS > Atos Standard Common Repository vs. DataFS vs. IBM Db2 warehouse vs. Kdb

System Properties Comparison Atos Standard Common Repository vs. DataFS vs. IBM Db2 warehouse vs. Kdb

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDataFS  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonKdb  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 networksAll 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.Cloud-based data warehousing serviceHigh performance Time Series DBMS
Primary database modelDocument store
Key-value store
Object oriented DBMSRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score1.26
Rank#162  Overall
#73  Relational DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorynewdatabase.comwww.ibm.com/­products/­db2/­warehousekx.com
Technical documentationdev.mobiland.com/­Overview.xspcode.kx.com
DeveloperAtos Convergence CreatorsMobiland AGIBMKx Systems, a division of First Derivatives plc
Initial release2016201820142000 infokdb was released 2000, kdb+ in 2003
Current release17031.1.263, October 20223.6, May 2018
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaq
Server operating systemsLinuxWindowshostedLinux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes
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 infoImport/export of XML data possibleyes
Secondary indexesyesnoyesyes infotable attribute 'grouped'
SQL infoSupport of SQLnonoyesSQL-like query language (q)
APIs and other access methodsLDAP.NET Client API
Proprietary client DLL
WinRT client
.NET Client API
JDBC
ODBC
OLE DB
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
VB.Net
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLuser defined functions
Triggersyesno, except callback-events from server when changes happenedyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionProprietary Sharding systemShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDno
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.yesnoyesyes
User concepts infoAccess controlLDAP bind authenticationWindows-Profilefine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
Atos Standard Common RepositoryDataFSIBM Db2 warehouse infoformerly named IBM dashDBKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
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Atos Standard Common RepositoryDataFSIBM Db2 warehouse infoformerly named IBM dashDBKdb
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