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DBMS > Kinetica vs. MonetDB vs. Postgres-XL vs. RethinkDB

System Properties Comparison Kinetica vs. MonetDB vs. Postgres-XL vs. RethinkDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMonetDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA relational database management system that stores data in columnsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
Document store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Websitewww.kinetica.comwww.monetdb.orgwww.postgres-xl.orgrethinkdb.com
Technical documentationdocs.kinetica.comwww.monetdb.org/­Documentationwww.postgres-xl.org/­documentationrethinkdb.com/­docs
DeveloperKineticaMonetDB BVThe Linux Foundation infosince July 2017
Initial release201220042014 infosince 2012, originally named StormDB2009
Current release7.1, August 2021Dec2023 (11.49), December 202310 R1, October 20182.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoMozilla public licenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CCC++
Server operating systemsLinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsyes infodistributed, parallel query executionno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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 proceduresuser defined functionsyes, in SQL, C, Ruser defined functions
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tableshorizontal partitioningSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCCAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
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.yes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infousers and table-level permissions

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More resources
KineticaMonetDBPostgres-XLRethinkDB
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