Eventual consistency is a model where, given no new writes, all replicas eventually converge to the same value. It trades immediate consistency for higher availability and lower latency, common in distributed and NoSQL systems.
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Eventual consistency is a model where, given no new writes, all replicas eventually converge to the same value. It trades immediate consistency for higher availability and lower latency, common in distributed and NoSQL systems.
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Under the CAP theorem, staying available during a partition means accepting temporarily stale reads.
Mechanisms like read repair, anti-entropy, and version vectors reconcile replicas over time.
Use it when availability and scale matter more than reading the very latest write, such as feeds and counters.
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No. Replicas do converge; the guarantee is only that reads may be briefly stale, not permanently wrong.
For operations needing the latest value immediately, such as balances or inventory decrements, prefer stronger consistency.
