In what situations is it preferable to use the Optimistic Lock mechanism to ensure data consistency?

Optimistic Locking is preferably used in systems with high concurrency, where the likelihood of conflicts during simultaneous data updates is low.

Main scenarios for use:

• When write operations are rare, and reads are frequent.
• In distributed systems where locks can lead to reduced performance.
• When it is important to avoid locks and increase scalability.

The mechanism is usually implemented through data versioning (e.g., a version field or timestamp). When saving, it checks that the version has not changed since reading. If it has changed, the operation is rolled back or retried.

This approach helps avoid locks but requires conflict handling at the application level.