Kinetica (software)

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.{{cite web |url= https://www.theregister.co.uk/2016/11/10/kinetica_cranks_with_rebel_alliance_gear |title= Terror plot spy project helps Kinetica crank up database speed |author= Dan Olds |date= November 10, 2016 |work= The Register |access-date= January 27, 2017 |archive-date= February 3, 2017 |archive-url= https://web.archive.org/web/20170203082628/http://www.theregister.co.uk/2016/11/10/kinetica_cranks_with_rebel_alliance_gear/ |url-status= live }}

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.{{Cite web |title= IDC Announces New Winners of HPC Innovation Excellence Awards |work= Press release |date= November 18, 2014 |publisher= International Data Corporation |url= http://www.idc.com/getdoc.jsp?containerId=prUS25250214 |url-status= dead |archive-url= https://web.archive.org/web/20150115041334/http://www.idc.com/getdoc.jsp?containerId=prUS25250214 |archive-date= January 15, 2015 |access-date= January 27, 2017 }}{{Cite web |title= International Data Corporation (IDC) Lauds Innovations in Supercomputing with Innovation Excellence Awards |work= Press release |date= June 21, 2016 |publisher= International Data Corporation |url= http://www.idc.com/getdoc.jsp?containerId=prUS41543616 |url-status= live |archive-url= https://web.archive.org/web/20160919044252/http://www.idc.com/getdoc.jsp?containerId=prUS41543616 |archive-date= September 19, 2016 |access-date= January 27, 2017 }}

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.{{Cite web |title= Form D: Notice of Sale of Securities |publisher= US Securities and Exchange Commission |date= April 12, 2016 |url= https://www.sec.gov/Archives/edgar/data/1671223/000167122316000001/xslFormDX01/primary_doc.xml |access-date= January 27, 2017 |archive-date= February 2, 2017 |archive-url= https://web.archive.org/web/20170202143522/https://www.sec.gov/Archives/edgar/data/1671223/000167122316000001/xslFormDX01/primary_doc.xml |url-status= live }} 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.{{cite web|url=http://www.finsmes.com/2016/09/kinetica-raises-6m-in-funding.html|title=Kinetica Raises $6M in Funding|date=September 22, 2016|work=FinSMEs|access-date=January 27, 2017|archive-date=December 22, 2016|archive-url=https://web.archive.org/web/20161222184003/http://www.finsmes.com/2016/09/kinetica-raises-6m-in-funding.html|url-status=live}}{{Cite web |url= https://venturebeat.com/2016/09/26/kinetica-adds-6-million-in-acceleration-funding-and-expands-management-team |author= Michele Nemschoff |title= Kinetica Adds $6 Million in Acceleration Funding and Expands Management Team |work= Press release |date= September 26, 2016 |access-date= January 25, 2017 }}{{Cite web |title= Form D: Notice of Sale of Securities |publisher= US Securities and Exchange Commission |date= October 4, 2016 |url= https://www.sec.gov/Archives/edgar/data/1671223/000167122316000004/xslFormDX01/primary_doc.xml |access-date= January 27, 2017 |archive-date= February 2, 2017 |archive-url= https://web.archive.org/web/20170202144325/https://www.sec.gov/Archives/edgar/data/1671223/000167122316000004/xslFormDX01/primary_doc.xml |url-status= live }}

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.{{cite web |url=http://fortune.com/2017/06/29/kinetica-database-startup-funding/ |title=This Hot Database Startup Just Snagged $50 Million in Funding |website=fortune.com |date=2017-06-29 |access-date=2017-08-09 |archive-date=2017-08-10 |archive-url=https://web.archive.org/web/20170810053327/http://fortune.com/2017/06/29/kinetica-database-startup-funding/ |url-status=live }}

The company has headquarters in Arlington, Virginia and regional offices in Europe{{Cite web|url=https://www.marketwatch.com/press-release/kinetica-names-gary-west-vice-president-of-sales-emea-2018-07-10|title=Kinetica Names Gary West Vice President of Sales, EMEA|last=|first=|date=|website=MarketWatch|archive-url=https://web.archive.org/web/20191221004210/https://www.marketwatch.com/press-release/kinetica-names-gary-west-vice-president-of-sales-emea-2018-07-10|archive-date=2019-12-21|access-date=|url-status=live}} and Asia Pacific.{{Cite web|url=https://www.martechadvisor.com/news/marketing-analytics/kinetica-appoints-stuart-fisher-as-president-of-asia-pacific/|title=Kinetica Appoints Stuart Fisher as President of Asia Pacific|last=|first=|date=|website=MarTech Advisor|archive-url=|archive-date=|access-date=}}

The software is designed to run on graphics processing units such as the Tesla from Nvidia.{{Cite news |title= GPU-Powered Terrorist Hunter Eyes Commercial Big Data Role |work= Datanami |author= Alex Woodie |url= https://www.datanami.com/2014/10/08/gpu-powered-terrorist-hunter-eyes-commercial-big-data-role/ |date=2014-10-08|access-date= 2017-08-09}} 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{{Cite web|url=https://www.kinetica.com/products/artificial-intelligence/|title=Artificial Intelligence|website=Kinetica|language=en-US|access-date=2020-01-21|archive-date=2020-05-18|archive-url=https://web.archive.org/web/20200518122249/https://www.kinetica.com/products/artificial-intelligence/|url-status=dead}} for deploying machine learning and deep learning algorithms, natural language processing, automatic storage tiering, and Kinetica Reveal{{Cite web|url=https://www.kinetica.com/blog/kinetica-reveal-data-insight/|title=Kinetica Reveal: Data to Insight|date=2018-07-17|website=Kinetica|language=en-US|access-date=2020-01-21|archive-date=2021-03-04|archive-url=https://web.archive.org/web/20210304223607/https://www.kinetica.com/blog/kinetica-reveal-data-insight/|url-status=live}} - a web-based dashboarding tool.

The United States Postal Service deployed Kinetica in to production 2014.{{cite web|url=https://www.nextplatform.com/2016/09/22/pushing-database-scalability-gpus|title=Pushing Database Scalability Up And Out With GPUs|author=Timothy Prickett Morgan|date=September 22, 2016|work=The Next Platform|access-date=January 27, 2017}}{{Cite web|url=https://blogs.nvidia.com/blog/2016/06/23/kinetica-big-data-workloads/|title=Kinetica Helps U.S. Post Office Solve Big Data Problem, Wins Big HPC Award|author=Jim McHugh|date=June 23, 2016|work=Nvidia blog|access-date=January 27, 2017|archive-date=February 2, 2017|archive-url=https://web.archive.org/web/20170202040041/https://blogs.nvidia.com/blog/2016/06/23/kinetica-big-data-workloads/|url-status=live}} Other public customers include Telkomsel,{{Cite web|url=https://www.telecomlead.com/telecom-equipment/telkomsel-selects-kinetica-to-improve-customer-experience-86909|title=Telkomsel selects Kinetica analytics to improve customer experience|last=|first=|date=17 October 2018|website=Telecomlead|archive-url=https://web.archive.org/web/20191221004209/https://www.telecomlead.com/telecom-equipment/telkomsel-selects-kinetica-to-improve-customer-experience-86909|archive-date=2019-12-21|access-date=|url-status=live}} Softbank,{{Cite web|url=http://iotinnovator.com/kinetica-provides-gpu-accelerated-analytics-engine-to-softbank-announces-open-source-integration-for-rapids-software/|title=Kinetica Provides GPU-Accelerated Analytics Engine to Softbank|last=|first=|date=|website=IoT Innovator|archive-url=https://web.archive.org/web/20191221004209/http://iotinnovator.com/kinetica-provides-gpu-accelerated-analytics-engine-to-softbank-announces-open-source-integration-for-rapids-software/|archive-date=2019-12-21|access-date=|url-status=live}} GSK,{{Cite web|url=https://www.kinetica.com/blog/gsk-uses-kinetica-research/|title=How GlaxoSmithKline Uses Kinetica to Manage Their R&D Information Platform|date=2017-07-19|website=Kinetica|language=en-US|access-date=2020-01-21|archive-date=2020-09-23|archive-url=https://web.archive.org/web/20200923100812/https://www.kinetica.com/blog/gsk-uses-kinetica-research/|url-status=live}} Pubmatic,{{Cite web|url=https://www.kinetica.com/blog/can-big-data-alone-keep-ad-tech/|title=Can Big Data Alone Keep Up With Ad Tech?|date=2018-08-19|website=Kinetica|language=en-US|access-date=2020-01-21|archive-date=2019-05-25|archive-url=https://web.archive.org/web/20190525162350/https://www.kinetica.com/blog/can-big-data-alone-keep-ad-tech/|url-status=live}} and OVO.{{Cite web|url=https://jakartaglobe.id/context/digital-payment-ovo-join-hands-us-based-tech-firms-accelerate-big-data-analytics/|title=Digital Payment OVO Join Hands With US-based Tech Firms to Accelerate Big Data Analytics|last=|first=|date=|website=Jakarta Globe|archive-url=https://web.archive.org/web/20191221004208/https://jakartaglobe.id/context/digital-payment-ovo-join-hands-us-based-tech-firms-accelerate-big-data-analytics/|archive-date=2019-12-21|access-date=|url-status=live}}

{{reflist}}

• [http://www.kinetica.com Official Kinetica website]

Category:Proprietary database management systems

Category:Geographical databases

Category:Cross-platform software

Category:Software companies based in the San Francisco Bay Area

Category:Big data companies

Category:Software companies of the United States