Many modern data warehouse platforms have been designed to utilize remote storage as their primary storage mechanism.
In this benchmark paper, we compare the price and performance differential between two competing architectural designs when storing and analyzing a 2.5 petabyte dataset, including:
– The cost breakdown, both in capital expenses (CapEx) and operating expenses (OpEx) over a 5-year period
– Performance at the I/O layer of each data warehouse architecture when tasked with running high IOPS and high throughput queries against the dataset
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