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DBMS > Kdb vs. Kinetica vs. PlanetScale vs. Transbase vs. VelocityDB

System Properties Comparison Kdb vs. Kinetica vs. PlanetScale vs. Transbase vs. VelocityDB

Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonKinetica  Xexclude from comparisonPlanetScale  Xexclude from comparisonTransbase  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionHigh performance Time Series DBMSFully vectorized database across both GPUs and CPUsScalable, distributed, serverless MySQL database platform built on top of VitessA resource-optimized, high-performance, universally applicable RDBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series 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
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitekx.comwww.kinetica.complanetscale.comwww.transaction.de/­en/­products/­transbase.htmlvelocitydb.com
Technical documentationcode.kx.comdocs.kinetica.complanetscale.com/­docswww.transaction.de/­en/­products/­transbase/­features.htmlvelocitydb.com/­UserGuide
DeveloperKx Systems, a division of First Derivatives plcKineticaPlanetScaleTransaction Software GmbHVelocityDB Inc
Initial release2000 infokdb was released 2000, kdb+ in 20032012202019872011
Current release3.6, May 20187.1, August 2021Transbase 8.3, 20227.x
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercialcommercialcommercial infofree development licensecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC, C++GoC and C++C#
Server operating systemsLinux
OS X
Solaris
Windows
LinuxDocker
Linux
macOS
FreeBSD
Linux
macOS
Solaris
Windows
Any that supports .NET
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnonono
Secondary indexesyes infotable attribute 'grouped'yesyesyesyes
SQL infoSupport of SQLSQL-like query language (q)SQL-like DML and DDL statementsyes infowith proprietary extensionsyesno
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
.Net
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
.Net
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyes infoproprietary syntaxyesno
Triggersyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infonot for MyISAM storage engineyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at shard levelyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
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.yesyes infoGPU vRAM or System RAMyesnoyes
User concepts infoAccess controlrights management via user accountsAccess rights for users and roles on table levelUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardBased on Windows Authentication
More information provided by the system vendor
KdbKineticaPlanetScaleTransbaseVelocityDB
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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More resources
KdbKineticaPlanetScaleTransbaseVelocityDB
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