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Home/Questions/SQL/Explain the differences between Redshift and Snowflake, and how I've used them in previous projects.

Explain the differences between Redshift and Snowflake, and how I've used them in previous projects.

SQLeasy0.4 min readPremium
Frequency
Low
Asked at 1 company
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
S&P Global
Key Concepts Tested
etlsnowflake
Expert AnswerPremium
85 wordsInterview-ready
**Redshift**: AWS-native, tightly coupled storage/compute, cluster-based; Spectrum for S3 queries; Concurrency Scaling for read bursts. **Snowflake**: Cloud-agnostic, decoupled storage/compute, per-second billing; zero-copy clone, Time Travel, Data Sharing. **Why Redshift**: Lower TCO for 24/7 steady workloads; deep AWS integration (Glue, Lambda); reserved instances cut cost 40%. **Why Snowflake**: Variable/spiky workloads; multi-cloud; DevProd parity via clones; sharing for data marketplace....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like S&P Global. The answer also includes follow-up discussion points that interviewers commonly explore.

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