AWS Aurora Serverless adjusts its compute capacity to the current workload and charges based on the actual consumed compute capacity, making it cost-effective for variable workloads and reducing the need for database administration, as the capacity management is fully handled by AWS. Other options might provide some of these features, but Aurora Serverless uniquely fulfills all the criteria specified. For example, Amazon RDS requires capacity provisioning that doesn't automatically scale and incurs costs for unused resources. DynamoDB, while having auto-scaling capabilities, is not a relational database and might involve significant schema changes. AWS Redshift is optimized for data warehousing and analytics rather than transactional workloads.