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DBMS > LevelDB vs. SWC-DB vs. Tkrzw vs. Valentina Server

System Properties Comparison LevelDB vs. SWC-DB vs. Tkrzw vs. Valentina Server

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Editorial information provided by DB-Engines
NameLevelDB  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
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA 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 modelKey-value storeWide column storeKey-value storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitegithub.com/­google/­leveldbgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
dbmx.net/­tkrzwwww.valentina-db.net
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogleAlex KashirinMikio HirabayashiParadigma Software
Initial release2011202020201999
Current release1.23, February 20210.5, April 20210.9.3, August 20205.7.5
License infoCommercial or Open SourceOpen Source infoBSDOpen 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 languageC++C++C++
Server operating systemsIllumos
Linux
OS X
Windows
LinuxLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes
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.nonono
Secondary indexesnoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes
APIs and other access methodsProprietary protocol
Thrift
ODBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++C++
Java
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
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 integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing specific database classesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

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