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DBMS > Kinetica vs. Oracle Rdb vs. Quasardb vs. Valentina Server

System Properties Comparison Kinetica vs. Oracle Rdb vs. Quasardb vs. Valentina Server

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOracle Rdb  Xexclude from comparisonQuasardb  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries databaseObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlquasar.aiwww.valentina-db.net
Technical documentationdocs.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldoc.quasar.ai/­mastervalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperKineticaOracle, originally developed by Digital Equipment Corporation (DEC)quasardbParadigma Software
Initial release2012198420091999
Current release7.1, August 20217.4.1.1, 20213.14.1, January 20245.7.5
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++
Server operating systemsLinuxHP Open VMSBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.nonono
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP APIODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users and roles on table levelCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
KineticaOracle RdbQuasardbValentina Server
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