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DBMS > Atos Standard Common Repository vs. Kdb vs. Kinetica vs. Quasardb

System Properties Comparison Atos Standard Common Repository vs. Kdb vs. Kinetica vs. Quasardb

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonKdb  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  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 networksHigh performance Time Series DBMSFully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries database
Primary database modelDocument store
Key-value store
Time Series DBMS
Vector DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorykx.comwww.kinetica.comquasar.ai
Technical documentationcode.kx.comdocs.kinetica.comdoc.quasar.ai/­master
DeveloperAtos Convergence CreatorsKx Systems, a division of First Derivatives plcKineticaquasardb
Initial release20162000 infokdb was released 2000, kdb+ in 200320122009
Current release17033.6, May 20187.1, August 20213.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqC, C++C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
LinuxBSD
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyes infointeger and binary
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.yesyesnono
Secondary indexesyesyes infotable attribute 'grouped'yesyes infowith tags
SQL infoSupport of SQLnoSQL-like query language (q)SQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsLDAPHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersyesyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioningShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMyes infoTransient mode
User concepts infoAccess controlLDAP bind authenticationrights management via user accountsAccess rights for users and roles on table levelCryptographically strong user authentication and audit trail
More information provided by the system vendor
Atos Standard Common RepositoryKdbKineticaQuasardb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
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
» more

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More resources
Atos Standard Common RepositoryKdbKineticaQuasardb
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