database

Row-Oriented Database

A row-oriented database is a type of database management system that stores data in rows, where each row contains all the fields for a single record. This storage model is optimized for transactional workloads, such as online transaction processing (OLTP), where operations typically involve reading or writing entire rows of data. It contrasts with column-oriented databases, which store data by columns for analytical querying.

Also known as: Row-store database, Row-based database, Transactional database, OLTP database, Row-major storage
🧊Why learn Row-Oriented Database?

Developers should use row-oriented databases when building applications that require frequent insert, update, and delete operations on individual records, such as e-commerce platforms, banking systems, or content management systems. They are ideal for scenarios where queries often retrieve entire rows, as the data is stored contiguously on disk, reducing I/O overhead for row-based access. This makes them well-suited for real-time, transactional environments with high concurrency.

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