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DBMS > Postgres-XL vs. SWC-DB vs. Tkrzw vs. Valentina Server

System Properties Comparison Postgres-XL vs. SWC-DB vs. Tkrzw vs. Valentina Server

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Editorial information provided by DB-Engines
NamePostgres-XL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA high performance, scalable Wide Column DBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetObject-relational database and reports server
Primary database modelRelational DBMSWide column storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Score0.09
Rank#354  Overall
#51  Key-value stores
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitewww.postgres-xl.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
dbmx.net/­tkrzwwww.valentina-db.net
Technical documentationwww.postgres-xl.org/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAlex KashirinMikio HirabayashiParadigma Software
Initial release2014 infosince 2012, originally named StormDB202020201999
Current release10 R1, October 20180.5, April 20210.9.3, August 20205.7.5
License infoCommercial or Open SourceOpen Source infoMozilla public licenseOpen Source infoGPL V3Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++
Server operating systemsLinux
macOS
LinuxLinux
macOS
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.yes infoXML type, but no XML query functionalitynono
Secondary indexesyesyes
SQL infoSupport of SQLyes infodistributed, parallel query executionSQL-like query languagenoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Thrift
ODBC
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++C++
Java
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsnonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes infousing specific database classesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Postgres-XLSWC-DB infoSuper Wide Column DatabaseTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetValentina Server
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