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DBMS > FeatureBase vs. MonetDB vs. Tkrzw vs. Yaacomo

System Properties Comparison FeatureBase vs. MonetDB vs. Tkrzw vs. Yaacomo

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonMonetDB  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
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A relational database management system that stores data in columnsA 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 DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#304  Overall
#138  Relational DBMS
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitewww.featurebase.comwww.monetdb.orgdbmx.net/­tkrzwyaacomo.com
Technical documentationdocs.featurebase.comwww.monetdb.org/­Documentation
DeveloperMolecula and Pilosa Open Source ContributorsMonetDB BVMikio HirabayashiQ2WEB GmbH
Initial release2017200420202009
Current release2022, May 2022Dec2023 (11.49), December 20230.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCC++
Server operating systemsLinux
macOS
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Android
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnoyesyes
SQL infoSupport of SQLSQL queriesyes infoSQL 2003 with some extensionsnoyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
Supported programming languagesJava
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes, in SQL, C, Rno
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoSource-replica replication available in experimental statusnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes 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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FeatureBaseMonetDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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