The Rise of Cloud Data Warehousing: AWS Redshift vs Snowflake
Author(s): Ramesh Betha
Publication #: 2502050
Date of Publication: 17.12.2019
Country: USA
Pages: 1-9
Published In: Volume 5 Issue 6 December-2019
DOI: https://doi.org/10.5281/zenodo.14866601
Abstract
The emergence of cloud data warehousing has fundamentally transformed how organizations manage and analyze their data assets. This paper presents a comprehensive analysis of two leading cloud data warehouse solutions: Amazon Redshift and Snowflake. Through detailed examination of their architectures, performance characteristics, and economic models, we provide insights into the evolving landscape of cloud-based analytics. Our analysis reveals the distinct approaches these platforms take to address modern data warehousing challenges, including scalability, concurrency, and data sharing. The findings suggest that while both solutions offer compelling advantages, their architectural differences lead to varying strengths in different use cases. This paper aims to provide technology leaders with a framework for evaluating these platforms within their organizational context.
Keywords: AWS, Snowflake, Redshift, data warehouse, cloud, distributed systems
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