InfoTechTarget and Informa Tech's Digital Businesses Combine.

Together, we power an unparalleled network of 220+ online properties covering 10,000+ granular topics, serving an audience of 50+ million professionals with original, objective content from trusted sources. We help you gain critical insights and make more informed decisions across your business priorities.

Cloud Database Performance Benchmark: Vertica in Eon Mode and Snowflake

Presented by

William McKnight, President, McKnight Consulting Group and Sanjay Baronia, Lead Product Marketing Manager, Vertica

About this talk

Two distinct trends are converging. The cloud is proving immensely useful in providing elastic, measurable, on-demand and self-service resources to organizations of all sizes. The uptake in 2018 has been phenomenal, continuing the biggest transformation that technology professionals will experience in their careers. Also, all organizations are relying even more than before on analytical databases to load, store, and analyze volumes of data at high speed to derive timely insights. An independent benchmark study was conducted to assess query performance, concurrency impact and cost-effectiveness of Vertica and Snowflake running in the AWS Cloud. The benchmark (expanding upon UC Berkeley’s Big Data Benchmark) simulated scenarios to answer fundamental business questions that every enterprise might encounter and ask. In this webinar, we will discuss the very interesting, need-to-know results and key takeaways of the benchmark. We will also discuss how to achieve high-performance and scalable analytics in the cloud and augment current, on-premises platforms in a cost-effective manner, continuing your journey to being data-driven.
OpenText™ Vertica™

OpenText™ Vertica™

38219 subscribers166 talks
Powering the World’s Leading Data Disruptors
OpenText has completed the purchase of Micro Focus, including Vertica. Our combined expertise expands our analytics offerings to help customers confidently scale analytics to the largest and most demanding workloads for the fastest predictive insights available on the market.
Related topics