Kinetica is a GPU-accelerated, in-memory analytics database that delivers truly real-time response to queries on large, complex and streaming data sets: 100x faster performance at 1/10 of the hardware of traditional databases.

Kinetica transforms data into instant insight. Power new technologies and services, from connected devices to risk management to personalization and beyond.

Kinetica was founded in 2009 by Nima Negahban & Amit Vij. The company is based in San Francisco, California, with offices in Arlington, Virginia; Tokyo, Japan and Australia.


The Kinetica Active Analytics Platform combines streaming and historical data with location intelligence and machine learning-powered analytics. Organizations across automotive, energy, telecommunications, retail, and financial services, leverage the platform’s GPU-accelerated computing power to build custom analytical applications for real-time insight.

Kinetica is available on the Oracle Cloud Marketplace, with single-click deployment. Additionally, Kinetica is part of the Oracle for Startups program, Oracle's initiative to support entrepreneurs and innovators worldwide.

Kinetica has a rich partner ecosystem, including NVIDIA, Dell, HP, IBM and Oracle. The company incorporated RAPIDS for predictive analytics, reducing ML model training time using NVIDIA GPUs and producing data analysis faster. The combination of the Kinetica Active Analytics Platform and NVIDIA RAPIDS enhances the power and value of the streaming data analytics Kinetica offers, delivering ML model speed and transparency across the organization.


Kinetica is backed by leading global venture capital firms Canvas Ventures, Citi Ventures, GreatPoint Ventures, and Meritech Capital Partners. The company has raised a total of $63M in funding. Their latest funding was raised on Jun 29, 2017, where they secured $50M from a Series A round.


Kinetica Named a Top Five Vendor to Watch in Second Annual Datanami Readers and Editors Choice Awards in 2017. The company was also  the winner of 2017 Ventana Research Digital Innovation Awards in Big Data.



  • Year founded: 2009
  • Funding Info: $63M over 3 Rounds (Latest Funding Type: Series A)
  • Yearly Revenue: $10M-$20M (2019)
  • Employee Size: 51-200
  • Business Valuation: NA
  • City/Town: San Francisco
  • State: California
  • Country: United States
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