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DBMS > Kinetica

Kinetica System Properties

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Editorial information provided by DB-Engines
NameKinetica
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasets
Database modelRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#202  Overall
#96  Relational DBMS
Websitewww.kinetica.com
Technical documentationwww.kinetica.com/­docs
DeveloperKinetica
Initial release2012
Current release6.0
License infoCommercial or Open Sourcecommercial
Cloud-based infoOnly available as a cloud serviceno
Implementation languageC, C++
Server operating systemsLinux
Data schemeyes
Typing infopredefined data types such as float or dateyes
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 indexesyes
SQL infoSupport of (almost entire) SQL standard (DML, DDL and DCL statements)no infoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions
Triggersyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
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 level

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More resources
Kinetica
Recent citations in the news

Kinetica raises $50 million to provide GPU-powered data insights
29 June 2017, VentureBeat

Kinetica Gets $50M for Converged GPU Analytics
29 June 2017, Datanami

Using graphic processing units for IoT data and analytics
27 June 2017, SDTimes.com

Kinetica Raises $50 Million in Venture Capital
3 July 2017, RTInsights (press release) (blog)

The Funded: 8 Bay Area startups raise $25M-plus at week's end
1 July 2017, Silicon Valley Business Journal

provided by Google News

Job opportunities

Principal Software Engineer - Core Database
Kinetica, Arlington, VA

Big Data Solution Architect / Consultant - Java
Kinetica, Arlington, VA

Real-time Big Data Solution Architect / Consultant
Kinetica, San Francisco, CA

jobs by Indeed




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