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Marc Brooker

Eventual consistency in database architectures creates significant challenges for both application developers and end users. Common issues include race conditions where newly created resources appear to not exist, complex retry logic requirements, and limitations on read replica effectiveness for read-modify-write operations. Aurora DSQL addresses these problems by providing strongly consistent reads across all replicas while maintaining read scalability, eliminating the need for applications to handle replication lag and routing complexity.

Why Strong Consistency?

<p>When looking at CAP when availability is needed, consistency is sacrificed. This enables really good performance, but it comes with challenges.</p>
