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The Snowflake Elastic Data Warehouse

The Snowflake Elastic Data WarehouseBenoit Dageville, Thierry Cruanes, Marcin Zukowski, Vadim Antonov, Artin Avanes,Jon Bock, Jonathan Claybaugh, Daniel Engovatov, Martin Hentschel,Jiansheng Huang, Allison W. Lee, Ashish Motivala, Abdul Q. Munir, Steven Pelley,Peter Povinec, Greg Rahn, Spyridon Triantafyllis, Philipp UnterbrunnerSnowflake ComputingABSTRACTWe live in the golden age of distributed computing. Pub-lic cloud platforms now offer virtually unlimited computeand storage resources on demand. At the same time, theSoftware-as-a-Service (SaaS) model brings enterprise-classsystems to users who previously could not afford such sys-tems due to their cost and complexity.

May 01, 2015 · The paper is structured as follows. Section 2 explains the key design choice behind Snow ake: separation of storage and compute. Section 3 presents the resulting multi-cluster, shared-data architecture. Section 4 highlights di erentiat-ing features: continuous availability, semi-structured and schema-less data, time travel and cloning, and end ...

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