Implementing strong consistency in distributed database systems

The CAP theorem states that no distributed system can be designed for both consistency and availability, but algorithms have been developed to improve system availability during common failure situations while supporting strong consistency. Strong consistency ensures all writes to a single record are applied in a specific order without re-ordering or skipping. Aerospike supports linearizable and sequential read models for strong consistency in single-record transactions. Linearizable reads guarantee the most updated version of data, while sequential reads may return stale data but are faster. Eventual consistency and strong eventual consistency apply to systems with asynchronous replication, where data updates are not synchronous between nodes. Aerospike provides strong consistency with high performance and availability during common failure scenarios.