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Home/Questions/SQL/Compare the star schema and snowflake schema. Which one would you use for reporting at Swiggy, and why?

Compare the star schema and snowflake schema. Which one would you use for reporting at Swiggy, and why?

SQLmedium0.5 min read

**Architectural Logic**: Star vs snowflake is a trade-off between join complexity and storage/normalization. **Star**: One fact table; denormalized dimensions; fewer joins. **Snowflake**: Normalized dimensions (dim→sub-dim); more joins, less redundancy. **Why Star for Swiggy**:...

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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
Swiggy
Key Concepts Tested
joinsnowflake

Why This Question Matters

This medium-level SQL question appears frequently in data engineering interviews at companies like Swiggy. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (join, snowflake) will help you answer variations of this question confidently.

How to Approach This

Break this problem into components. Identify the core trade-offs involved, then walk the interviewer through your reasoning step by step. Demonstrate awareness of edge cases and production considerations - this is what separates good answers from great ones.

Expert Answer
107 words

Architectural Logic: Star vs snowflake is a trade-off between join complexity and storage/normalization. Star: One fact table; denormalized dimensions; fewer joins. Snowflake: Normalized dimensions (dim→sub-dim); more joins, less redundancy. Why Star for Swiggy: Food delivery reporting (orders, delivery, restaurants, users) requires fast, concurrent dashboards. Star schema minimizes join depth—critical for BI tools and sub-second response. Snowflake adds joins (e.g., dim_restaurant→dim_chain→dim_brand); every report pays that cost. Scalability: At Swiggy's scale, query concurrency matters more than storage savings. Star's denormalization improves cache hit rates. Cost: Simpler joins = less compute per query. Recommendation: Star for reporting; consider snowflake only if dimension hierarchies are deep and storage is a constraint.

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