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DBMS > Kinetica vs. UniData,UniVerse

System Properties Comparison Kinetica vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#190  Overall
#94  Relational DBMS
Score3.55
Rank#78  Overall
#2  Multivalue DBMS
Websitewww.kinetica.comwww.rocketsoftware.com/­products/­rocket-u2
Technical documentationwww.kinetica.com/­docswww.rocketsoftware.com/­products/­rocket-u2/­documentation
DeveloperKineticaRocket Software
Initial release20121985
Current release6.0
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesoptional
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
Java API infoJPA
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights according to SQL-standard and operating system based

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More resources
KineticaUniData,UniVerse
Recent citations in the news

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
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Rocket Software Continues Modernization of UniData
26 July 2017, PR Newswire

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