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DBMS > Atos Standard Common Repository vs. Kdb vs. Sphinx vs. SWC-DB vs. Valentina Server

System Properties Comparison Atos Standard Common Repository vs. Kdb vs. Sphinx vs. SWC-DB vs. Valentina Server

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonKdb  Xexclude from comparisonSphinx  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonValentina Server  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 DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesA high performance, scalable Wide Column DBMSObject-relational database and reports server
Primary database modelDocument store
Key-value store
Time Series DBMS
Vector DBMS
Search engineWide column storeRelational DBMS
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorykx.comsphinxsearch.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.valentina-db.net
Technical documentationcode.kx.comsphinxsearch.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAtos Convergence CreatorsKx Systems, a division of First Derivatives plcSphinx Technologies Inc.Alex KashirinParadigma Software
Initial release20162000 infokdb was released 2000, kdb+ in 2003200120201999
Current release17033.6, May 20183.5.1, February 20230.5, April 20215.7.5
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3commercial
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 languageJavaqC++C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesnoyes
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.yesyesno
Secondary indexesyesyes infotable attribute 'grouped'yes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query language (q)SQL-like query language (SphinxQL)SQL-like query languageyes
APIs and other access methodsLDAPHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary protocolProprietary protocol
Thrift
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnouser defined functionsnonoyes
Triggersyesyes infowith viewsnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationrights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryKdbSphinxSWC-DB infoSuper Wide Column DatabaseValentina Server
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 RepositoryKdbSphinxSWC-DB infoSuper Wide Column DatabaseValentina Server
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