Transactional Data Operations

In real-time applications, multiple users might try to update the same data simultaneously. This can lead to serious issues like data corruption or inconsistencies if not handled correctly.

Imagine a simple counter on a website. If two users click 'Like' at the exact same moment, the counter should increment by two, not just one.

Without proper synchronization, a common scenario called a race condition can occur. This happens when the outcome of an operation depends on the unpredictable sequence or timing of other operations.

For example, if you read a value, increment it, and then write it back, another user might read the original value before you write your incremented one, causing an update to be lost.