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Streaming Data Warehouses: A Next-Generation Architecture For Real-time Analytics At Scale

MEET THE HOSTS: Nima Negahban, Co-founder and CTO, Kinetica  / Irina Farooq, Chief Product Officer, Kinetica

Developing real-time analytical applications that operate at the speed and scale of digital business requires new solutions. Join our webinar with Nima Negahban, our co-founder and CTO, and Irina Farooq, our chief product officer, to learn how Kinetica transforms the typical architecture for real-time analytics. Kinetica converges the ability to do streaming, historical, location, and graph analytics as well as machine learning on a single, unified platform to deliver unparalleled performance and simplicity. The world’s leading organizations including GSK, Citi, and the United States Postal Service trust Kinetica to power data intensive, business critical applications.


  • How the Kinetica Streaming Data Warehouse modernizes and simplifies the data infrastructure for real-time, complex analytics compared to legacy solutions
  • Kinetica’s key differentiators: performance at scale, integrated analytics, flexible deployment, and the ability to analyze as fast as you can stream
  • Example architectures of Kinetica in action at some of the world’s largest organizations for high value, data-driven use cases
  • Updates in the latest release of Kinetica including tiered storage and external tables, enhanced data security features, and improved high availability and monitoring to better support enterprise applications

Watch the Recording