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Database vs Data Warehouse vs Data Mart vs Data Lake

SQLeasy0.5 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
Presidio
Key Concepts Tested
etlsnowflakesparksql
Expert AnswerPremium
90 wordsInterview-ready
**Architectural Logic**: Each serves different latency, structure, and consumer needs. **Database (OLTP)**: ACID, normalized; transactional; e.g., PostgreSQL. **Data Warehouse**: Analytical; denormalized; batch; e.g., Snowflake. **Data Mart**: Subset of DWH for domain/team; e.g., sales mart. **Data Lake**: Raw/semi-structured; schema-on-read; e.g., S3 + Spark. **Flow**: DB → DWH (ETL) → Data Marts; Lake as raw ingestion, process into DWH....
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