The Rise of Cloud Data Warehousing: AWS Redshift vs Snowflake

Authors

Ramesh Betha

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

The Rise of Cloud Data Warehousing: AWS Redshift vs Snowflake. Ramesh Betha. 2019. IJIRCT, Volume 5, Issue 6. Pages 1-9. https://www.ijirct.org/viewPaper.php?paperId=2502050