In use cases for RDBMS, what is one of the reasons that relational databases are so well suited for OLTP applications?

Relational databases are particularly well-suited for Online Transaction Processing (OLTP) applications primarily because they support the ability to insert, update, or delete small amounts of data efficiently. OLTP systems require rapid transaction processing where users frequently create or modify records. The transactional nature of relational databases ensures that these operations can be performed quickly and reliably, maintaining data integrity through mechanisms like ACID (Atomicity, Consistency, Isolation, Durability) properties.

For OLTP applications, where transactions often involve single or a small number of record modifications rather than bulk updates, the relational model optimizes these operations, ensuring that users experience minimal wait times while interacting with the database. This makes them ideal for applications like banking systems, reservation services, and other data-driven interaction points that demand quick processing of small-scale transactions.

While other factors such as backup and restore options, the ability to execute simultaneous queries, and minimizing data redundancy are also relevant to RDBMS, they don't directly address the core functions needed for the fast and efficient transaction handling that OLTP applications require.