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.

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The Vertica Unified Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Uber, and more. Based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability, Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads. Vertica unites the major public clouds and on-premises data centers, as needed, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed system, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.