Databases designed to support a high number of reads and writes are referred to as ________.

Databases designed to support a high number of reads and writes are referred to as ________.

• A. OLAP Systems
• B. OLTP Systems
• C. Data Warehouses
• D. NoSQL Stores

Answer: (B)

Transactional processing workloads require fast, reliable reads and writes with strict data integrity. Databases built for that are OLTP systems. They are optimized for a high volume of short, concurrent transactions, supporting rapid insert, update, and delete operations while maintaining data accuracy through ACID properties. This makes them ideal for real-time, everyday applications like order processing, banking, and inventory management. OLAP systems, by contrast, focus on complex queries over large historical datasets for analysis, not on processing countless transactions in real time. Data warehouses are designed for such analytical processing. NoSQL stores can also handle high throughput, but the common, textbook distinction for systems designed to support many reads and writes in transactional contexts is OLTP.

Transactional processing workloads require fast, reliable reads and writes with strict data integrity. Databases built for that are OLTP systems. They are optimized for a high volume of short, concurrent transactions, supporting rapid insert, update, and delete operations while maintaining data accuracy through ACID properties. This makes them ideal for real-time, everyday applications like order processing, banking, and inventory management.

OLAP systems, by contrast, focus on complex queries over large historical datasets for analysis, not on processing countless transactions in real time. Data warehouses are designed for such analytical processing. NoSQL stores can also handle high throughput, but the common, textbook distinction for systems designed to support many reads and writes in transactional contexts is OLTP.