About: Kinetica (software)     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : schema:CreativeWork, within Data Space : dbpedia.org associated with source document(s)

Kinetica (formerly GPUdb) is an in-memory database that uses a distributed rendering pipeline of many core devices (mainly graphics processing units (GPUs)), to process large amounts of data. Kinetica has SQL-style query capability that enable users to calculate analytics on high velocity, streaming datasets and visualize results with sub-second response time. Kinetica dynamically allocates data between GPU VRAM, system RAM, and flash and disk persistence. Originally designed as a geospatial and temporal computational engine for the United States Army Intelligence and Security Command (INSCOM) at Fort Belvoir, Kinetica evolved into a full enterprise database in 2012 and was commercially available to the public in 2014.

AttributesValues
rdf:type
rdfs:label
  • Kinetica (software)
rdfs:comment
  • Kinetica (formerly GPUdb) is an in-memory database that uses a distributed rendering pipeline of many core devices (mainly graphics processing units (GPUs)), to process large amounts of data. Kinetica has SQL-style query capability that enable users to calculate analytics on high velocity, streaming datasets and visualize results with sub-second response time. Kinetica dynamically allocates data between GPU VRAM, system RAM, and flash and disk persistence. Originally designed as a geospatial and temporal computational engine for the United States Army Intelligence and Security Command (INSCOM) at Fort Belvoir, Kinetica evolved into a full enterprise database in 2012 and was commercially available to the public in 2014.
sameAs
dct:subject
Wikipage page ID
Wikipage revision ID
Link from a Wikipage to another Wikipage
Link from a Wikipage to an external page
foaf:name
  • Kinetica
foaf:homepage
foaf:depiction
  • External Image
foaf:isPrimaryTopicOf
thumbnail
prov:wasDerivedFrom
has abstract
  • Kinetica (formerly GPUdb) is an in-memory database that uses a distributed rendering pipeline of many core devices (mainly graphics processing units (GPUs)), to process large amounts of data. Kinetica has SQL-style query capability that enable users to calculate analytics on high velocity, streaming datasets and visualize results with sub-second response time. Kinetica dynamically allocates data between GPU VRAM, system RAM, and flash and disk persistence. Originally designed as a geospatial and temporal computational engine for the United States Army Intelligence and Security Command (INSCOM) at Fort Belvoir, Kinetica evolved into a full enterprise database in 2012 and was commercially available to the public in 2014. Kinetica is an object store that allows users to define any number of Sets, and populate these Sets with objects. A Set is analogous to a traditional database table where each column (Kinetica Set Attribute) can be one of the following types: int, long, float, double, or string. Kinetica then allows the user to perform calculations against those Sets. Kinetica also includes a number of GPU accelerated geospatial and temporal functions that can be performed on any Set.
genre
latest release version
  • 5.2
license
status
  • Active
developer
  • GIS Federal
logo
  • Kinetica Logo.png
logo caption
  • Kinetica Logo
logo size
platform
  • Cross-platform
title
  • Kinetica
is Link from a Wikipage to another Wikipage of
is Wikipage redirect of
is foaf:primaryTopic of
Faceted Search & Find service v1.17_git39 as of Aug 09 2019


Alternative Linked Data Documents: PivotViewer | iSPARQL | ODE     Content Formats:       RDF       ODATA       Microdata      About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3232 as of Jan 24 2020, on Linux (x86_64-generic-linux-glibc25), Single-Server Edition (61 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2020 OpenLink Software