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DBMS > Kdb vs. Kingbase vs. SWC-DB vs. Typesense vs. Valentina Server

System Properties Comparison Kdb vs. Kingbase vs. SWC-DB vs. Typesense vs. Valentina Server

Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonKingbase  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTypesense  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionHigh performance Time Series DBMSAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A high performance, scalable Wide Column DBMSA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivityObject-relational database and reports server
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSWide column storeSearch engineRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial 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
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.76
Rank#219  Overall
#14  Search engines
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitekx.comwww.kingbase.com.cngithub.com/­kashirin-alex/­swc-db
www.swcdb.org
typesense.orgwww.valentina-db.net
Technical documentationcode.kx.comtypesense.org/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperKx Systems, a division of First Derivatives plcBeiJing KINGBASE Information technologies inc.Alex KashirinParadigma Software
Initial release2000 infokdb was released 2000, kdb+ in 20031999202020151999
Current release3.6, May 2018V8.0, August 20210.5, April 20215.7.5
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercialOpen Source infoGPL V3Open Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageqC and JavaC++C++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
LinuxLinuxLinux
OS X
Windows
Data schemeyesyesschema-freeschema-free infopre-defined schema optionalyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyes infotable attribute 'grouped'yesyesyes
SQL infoSupport of SQLSQL-like query language (q)Standard with numerous extensionsSQL-like query languagenoyes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Proprietary protocol
Thrift
RESTful HTTP APIODBC
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnonoyes
Triggersyes infowith viewsyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyesyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
KdbKingbaseSWC-DB infoSuper Wide Column DatabaseTypesenseValentina 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
KdbKingbaseSWC-DB infoSuper Wide Column DatabaseTypesenseValentina Server
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