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DBMS > MonetDB vs. ReductStore vs. RethinkDB vs. ToroDB

System Properties Comparison MonetDB vs. ReductStore vs. RethinkDB vs. ToroDB

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonReductStore  Xexclude from comparisonRethinkDB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA relational database management system that stores data in columnsDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.DBMS for the Web with a mechanism to push updated query results to applications in realtime.A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSTime Series DBMSDocument storeDocument store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Websitewww.monetdb.orggithub.com/­reductstore
www.reduct.store
rethinkdb.comgithub.com/­torodb/­server
Technical documentationwww.monetdb.org/­Documentationwww.reduct.store/­docsrethinkdb.com/­docs
DeveloperMonetDB BVReductStore LLCThe Linux Foundation infosince July 20178Kdata
Initial release2004202320092016
Current releaseDec2023 (11.49), December 20231.9, March 20242.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoBusiness Source License 1.1Open Source infoApache Version 2Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++, RustC++Java
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Windows
All OS with a Java 7 VM
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyes infostring, integer, double, boolean, date, object_id
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP API
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
JavaScript (Node.js)
Python
Rust
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyes, in SQL, C, R
TriggersyesClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesSharding inforange basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousers and table-level permissionsAccess rights for users and roles

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More resources
MonetDBReductStoreRethinkDBToroDB
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