A company is launching a new gaming application. The company will use Amazon EC2 Auto Scaling groups to deploy the application. The application stores user data in a relational database. The company…

Amazon ElastiCache for Redis Global Datastore provides fully managed, high-performance, cross-Region replication for disaster recovery and extremely low-latency read access from secondary regions. When populated from the primary relational database, it serves as a cost-effective, globally distributed data store optimized for accelerating analytics queries on frequently accessed user data, fulfilling the low-latency and DR requirements for global analytics teams.

Amazon DynamoDB Global Tables are a NoSQL database solution, which does not align with the application's current use of a 'relational database' for user data, potentially requiring significant data model changes for analytics. While providing cross-region capabilities, it's not a direct fit for extending a relational system.

Amazon Aurora Global Database is an excellent primary relational database solution offering cross-Region DR and low-latency reads. However, for a 'cost-effective database solution' specifically for analytics, if a caching layer can address the read performance needs, ElastiCache might be considered more cost-effective for that specific purpose than fully replicating an entire Aurora primary cluster for analytics reads.

An Amazon RDS Multi-AZ DB cluster provides high availability within a *single* AWS Region but does not offer cross-Region disaster recovery or low-latency read performance for users or analytics teams located in *other* AWS Regions, failing to meet the global analytics requirements.