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Time and cost comparisons for executing the same query in Snowflake and Spark.

SQLhard0.7 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
Carelon
Key Concepts Tested
etloptimizationsnowflakespark
Expert AnswerPremium
132 wordsInterview-ready
Snowflake vs Spark for the same query: Time—Snowflake typically executes faster for ad-hoc analytics due to automatic optimization, columnar storage, and managed compute. Spark excels for large batch jobs and complex transformations. Cost—Snowflake charges per credit (compute + storage); costs scale with warehouse size and runtime. Spark on-prem/Databricks has fixed infra cost; pay-per-query in cloud....
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 Carelon. The answer also includes follow-up discussion points that interviewers commonly explore.

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