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DBMS > Kdb vs. MonetDB vs. PlanetScale vs. Yaacomo

System Properties Comparison Kdb vs. MonetDB vs. PlanetScale vs. Yaacomo

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMonetDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHigh performance Time Series DBMSA relational database management system that stores data in columnsScalable, distributed, serverless MySQL database platform built on top of VitessOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitekx.comwww.monetdb.orgplanetscale.comyaacomo.com
Technical documentationcode.kx.comwww.monetdb.org/­Documentationplanetscale.com/­docs
DeveloperKx Systems, a division of First Derivatives plcMonetDB BVPlanetScaleQ2WEB GmbH
Initial release2000 infokdb was released 2000, kdb+ in 2003200420202009
Current release3.6, May 2018Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoMozilla Public License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqCGo
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Android
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesno
Secondary indexesyes infotable attribute 'grouped'yesyesyes
SQL infoSupport of SQLSQL-like query language (q)yes infoSQL 2003 with some extensionsyes infowith proprietary extensionsyes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyes, in SQL, C, Ryes infoproprietary syntax
Triggersyes infowith viewsyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding via remote tablesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityyesyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.yesyesyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
KdbMonetDBPlanetScaleYaacomo
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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KdbMonetDBPlanetScaleYaacomo
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