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DBMS > Kdb vs. Kinetica vs. Oracle Rdb vs. TimesTen

System Properties Comparison Kdb vs. Kinetica vs. Oracle Rdb vs. TimesTen

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Rdb  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionHigh performance Time Series DBMSFully vectorized database across both GPUs and CPUsAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1.04
Rank#184  Overall
#84  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitekx.comwww.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcode.kx.comdocs.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperKx Systems, a division of First Derivatives plcKineticaOracle, originally developed by Digital Equipment Corporation (DEC)Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2000 infokdb was released 2000, kdb+ in 2003201219841998
Current release3.6, May 20187.1, August 20217.4.1.1, 2021Release 22.1
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercialcommercialcommercial
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 languageqC, C++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxHP Open VMSIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes
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.yesnonono
Secondary indexesyes infotable attribute 'grouped'yesyesyes
SQL infoSupport of SQLSQL-like query language (q)SQL-like DML and DDL statementsyesyes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsPL/SQL
Triggersyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source 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 ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlrights management via user accountsAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
KdbKineticaOracle RdbTimesTen
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
KdbKineticaOracle RdbTimesTen
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