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DBMS > MonetDB vs. RDFox vs. TDSQL for MySQL vs. Tkrzw vs. Yaacomo

System Properties Comparison MonetDB vs. RDFox vs. TDSQL for MySQL vs. Tkrzw vs. Yaacomo

Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonRDFox  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA relational database management system that stores data in columnsHigh performance knowledge graph and semantic reasoning engineA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.monetdb.orgwww.oxfordsemantic.techwww.tencentcloud.com/­products/­dcdbdbmx.net/­tkrzwyaacomo.com
Technical documentationwww.monetdb.org/­Documentationdocs.oxfordsemantic.techwww.tencentcloud.com/­document/­product/­1042
DeveloperMonetDB BVOxford Semantic TechnologiesTencentMikio HirabayashiQ2WEB GmbH
Initial release20042017201320202009
Current releaseDec2023 (11.49), December 20236.0, Septermber 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0commercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
hostedLinux
macOS
Android
Linux
Windows
Data schemeyesyes infoRDF schemasyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsnoyesnoyes
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
RESTful HTTP API
SPARQL 1.1
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
Java
C
C#
C++
Java
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes, in SQL, C, Ryesno
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesAutomatic shardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusreplication via a shared file systemMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yesnoyes infousing specific database classesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRoles, resources, and access typesUsers with fine-grained authorization conceptnofine grained access rights according to SQL-standard

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More resources
MonetDBRDFoxTDSQL for MySQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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