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DBMS > MonetDB vs. Sequoiadb vs. SWC-DB vs. Tkrzw

System Properties Comparison MonetDB vs. Sequoiadb vs. SWC-DB vs. Tkrzw

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsNewSQL database with distributed OLTP and SQLA 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 Cabinet
Primary database modelRelational DBMSDocument store
Relational DBMS
Wide column storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.monetdb.orgwww.sequoiadb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
dbmx.net/­tkrzw
Technical documentationwww.monetdb.org/­Documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperMonetDB BVSequoiadb Ltd.Alex KashirinMikio Hirabayashi
Initial release2004201320202020
Current releaseDec2023 (11.49), December 20230.5, April 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoServer: AGPL; Client: Apache V2Open Source infoGPL V3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++C++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
LinuxLinuxLinux
macOS
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regexno
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 indexesyesyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsSQL-like query languageSQL-like query languageno
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
proprietary protocol using JSONProprietary protocol
Thrift
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
PHP
Python
C++C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes, in SQL, C, RJavaScriptnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 classes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlno

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More resources
MonetDBSequoiadbSWC-DB infoSuper Wide Column DatabaseTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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