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Optimizing for the concurrency and parallelism inherent within such servers can provide dramatic speedups at scale, and often outperform large distributed databases.For example, Microsoft recently collaborated with Intel to demonstrate stunning performance on a massive 100TB data warehouse using just a single server with four Intel Xeon E7 processors and SQL Server 2016. The system was able to load a complex schema derived from TPC H at 1.6TB/hour, and it took just 5.3 seconds to run a complex query (the minimum cost supplier query) on the entire 100TB database. The system also demonstrated incredible concurrent query performance, where running all queries concurrently took less time than running them back to back, as illustrated in the chart below.
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