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Eventual consistency is a consistency model used in distributed computing to achieve high availability that informally guarantees that, if no new updates are made to a given data item, eventually all accesses to that item will return the last updated value.

Eventual consistency allows for temporary data inconsistencies and tends to prioritize availability and partition tolerance, whereas strong consistency requires data to be consistent immediately across all nodes in a system, which can result in decreased availability or performance.

User experience can be affected by eventual consistency due to visible data inconsistency; however, this can be mitigated by UI strategies, explaining consistency behavior to users, or by using consistency at a more granular level, such as strong consistency for critical operations.

To enforce eventual consistency, various mechanisms such as read-repair, anti-entropy processes, and write propagation are used to gradually propagate and reconcile updates across distributed nodes.

Systems employing eventual consistency must use conflict resolution strategies like version vectors, CRDTs (Conflict-free Replicated Data Types), or last-writer-wins to handle data discrepancies that result from concurrent updates.