Kinetica (software)

(Redirected from Gpudb)

Kinetica is a distributed, memory-first OLAP database developed by Kinetica DB, Inc. Kinetica is designed to use GPUs and modern vector processors to improve performance on complex queries across large volumes of real-time data. Kinetica is well suited for analytics on streaming geospatial and temporal data.[1]

Kinetica
(formerly GPUdb)
Developer(s)Kinetica DB
(formerly GIS Federal)
Stable release
7.1
PlatformCloud, On-Premise
TypeIn-Memory
LicenseProprietary
Websitewww.kinetica.com

Background

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In 2009, Amit Vij and Nima Neghaban founded GIS Federal, a developer of software they called GPUdb. The GIS stood for Global Intelligence Solutions. GPUdb was initially marketed for US military and intelligence applications, at Fort Belvoir for INSCOM.[2]

In 2014 and 2016, the analyst firm International Data Corporation mentioned Kinetica for its production deployments at the US Army and United States Postal Service, respectively. As a result of their work with USPS, IDC announced that Kinetica was the recipient of the HPC Innovation Excellence Award.[3][4]

On March 3, 2016, the name of the company was changed to GPUdb to match the name of the software, and a $7 million investment was announced which included Raymond J. Lane.[5] In September 2016, it announced another $6 million investment, and an office in San Francisco, while keeping its office in Arlington, Virginia. After adding marketing and service people, the name of both the company and product was changed to Kinetica.[6][7][8]

In June 2017, the company announced US$50 million in Series A funding led by Canvas Ventures and Meritech Capital Partners, along with new investor Citi Ventures and existing backer Ray Lane of GreatPoint Ventures.[9]

The company has headquarters in Arlington, Virginia and regional offices in Europe[10] and Asia Pacific.[11]

Software

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The software is designed to run on graphics processing units such as the Tesla from Nvidia.[12] Partners include Cisco, Dell EMC, HPE, IBM, NVIDIA, Confluent, Amazon, Microsoft, Google, and Oracle. At Kinetica's core is a distributed, memory-first relational SQL database that utilizes the processing power of CPUs with the acceleration of multi-core GPU devices to analyze and visualize data with fast (often millisecond) response times. Kinetica is designed to handle streaming, batch and historic data. Other features include graph solving algorithms, user defined functions, geospatial functions, the Advanced Analytics Workbench[13] for deploying machine learning and deep learning algorithms, natural language processing, automatic storage tiering, and Kinetica Reveal[14] - a web-based dashboarding tool.

Customers

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The United States Postal Service deployed Kinetica in to production 2014.[15][16] Other public customers include Telkomsel,[17] Softbank,[18] GSK,[19] Pubmatic,[20] and OVO.[21][22]

References

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  1. ^ "Under new deal, NORAD gets new capabilities for defensive JADC2". FedScoop. Retrieved 10 November 2021.
  2. ^ Dan Olds (November 10, 2016). "Terror plot spy project helps Kinetica crank up database speed". The Register. Retrieved January 27, 2017.
  3. ^ "IDC Announces New Winners of HPC Innovation Excellence Awards". Press release. International Data Corporation. November 18, 2014. Archived from the original on January 15, 2015. Retrieved January 27, 2017.
  4. ^ "International Data Corporation (IDC) Lauds Innovations in Supercomputing with Innovation Excellence Awards". Press release. International Data Corporation. June 21, 2016. Archived from the original on September 19, 2016. Retrieved January 27, 2017.
  5. ^ "Form D: Notice of Sale of Securities". US Securities and Exchange Commission. April 12, 2016. Retrieved January 27, 2017.
  6. ^ "Kinetica Raises $6M in Funding". FinSMEs. September 22, 2016. Retrieved January 27, 2017.
  7. ^ Michele Nemschoff (September 26, 2016). "Kinetica Adds $6 Million in Acceleration Funding and Expands Management Team". Press release. Retrieved January 25, 2017.
  8. ^ "Form D: Notice of Sale of Securities". US Securities and Exchange Commission. October 4, 2016. Retrieved January 27, 2017.
  9. ^ "This Hot Database Startup Just Snagged $50 Million in Funding". fortune.com. 2017-06-29. Retrieved 2017-08-09.
  10. ^ "Kinetica Names Gary West Vice President of Sales, EMEA". MarketWatch.
  11. ^ "Kinetica Appoints Stuart Fisher as President of Asia Pacific". MarTech Advisor.
  12. ^ Alex Woodie (2014-10-08). "GPU-Powered Terrorist Hunter Eyes Commercial Big Data Role". Datanami. Retrieved 2017-08-09.
  13. ^ "Artificial Intelligence". Kinetica. Retrieved 2020-01-21.
  14. ^ "Kinetica Reveal: Data to Insight". Kinetica. 2018-07-17. Retrieved 2020-01-21.
  15. ^ Timothy Prickett Morgan (September 22, 2016). "Pushing Database Scalability Up And Out With GPUs". The Next Platform. Retrieved January 27, 2017.
  16. ^ Jim McHugh (June 23, 2016). "Kinetica Helps U.S. Post Office Solve Big Data Problem, Wins Big HPC Award". Nvidia blog. Retrieved January 27, 2017.
  17. ^ "Telkomsel selects Kinetica analytics to improve customer experience". Telecomlead.
  18. ^ "Kinetica Provides GPU-Accelerated Analytics Engine to Softbank". IoT Innovator.
  19. ^ "How GlaxoSmithKline Uses Kinetica to Manage Their R&D Information Platform". Kinetica. 2017-07-19. Retrieved 2020-01-21.
  20. ^ "Can Big Data Alone Keep Up With Ad Tech?". Kinetica. 2018-08-19. Retrieved 2020-01-21.
  21. ^ "Digital Payment OVO Join Hands With US-based Tech Firms to Accelerate Big Data Analytics". Jakarta Globe.
  22. ^ "Big Data in Insurance". beinsure.com. Retrieved 2023-05-16.
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