Row-Oriented Storage vs Column-Oriented Storage
Developers should learn and use row-oriented storage when building applications with frequent transactional operations, such as e-commerce systems, banking applications, or any scenario requiring fast inserts, updates, and deletes of entire records meets developers should learn and use column-oriented storage when building or working with systems that require high-performance analytical queries, such as business intelligence, data warehousing, or big data analytics. Here's our take.
Row-Oriented Storage
Developers should learn and use row-oriented storage when building applications with frequent transactional operations, such as e-commerce systems, banking applications, or any scenario requiring fast inserts, updates, and deletes of entire records
Row-Oriented Storage
Nice PickDevelopers should learn and use row-oriented storage when building applications with frequent transactional operations, such as e-commerce systems, banking applications, or any scenario requiring fast inserts, updates, and deletes of entire records
Pros
- +It is particularly beneficial in relational databases like MySQL or PostgreSQL, where row-based storage supports ACID compliance and quick access to individual rows for real-time data processing
- +Related to: relational-databases, oltp
Cons
- -Specific tradeoffs depend on your use case
Column-Oriented Storage
Developers should learn and use column-oriented storage when building or working with systems that require high-performance analytical queries, such as business intelligence, data warehousing, or big data analytics
Pros
- +It excels in scenarios where queries involve scanning specific columns (e
- +Related to: data-warehousing, olap
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Row-Oriented Storage if: You want it is particularly beneficial in relational databases like mysql or postgresql, where row-based storage supports acid compliance and quick access to individual rows for real-time data processing and can live with specific tradeoffs depend on your use case.
Use Column-Oriented Storage if: You prioritize it excels in scenarios where queries involve scanning specific columns (e over what Row-Oriented Storage offers.
Developers should learn and use row-oriented storage when building applications with frequent transactional operations, such as e-commerce systems, banking applications, or any scenario requiring fast inserts, updates, and deletes of entire records
Disagree with our pick? nice@nicepick.dev