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DBMS > Tkrzw vs. Ultipa vs. Valentina Server

System Properties Comparison Tkrzw vs. Ultipa vs. Valentina Server

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Editorial information provided by DB-Engines
NameTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonUltipa  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetHigh performance Graph DBMS supporting HTAP high availability cluster deploymentObject-relational database and reports server
Primary database modelKey-value storeGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.13
Rank#335  Overall
#31  Graph DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitedbmx.net/­tkrzwwww.ultipa.comwww.valentina-db.net
Technical documentationwww.ultipa.com/­documentvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperMikio HirabayashiUltipaParadigma Software
Initial release202020191999
Current release0.9.3, August 20205.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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.no
Secondary indexesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsRESTful HTTP APIODBC
Supported programming languagesC++
Java
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing specific database classesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
Tkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetUltipaValentina Server
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