Which AWS database service is a managed relational option suitable for relational data requiring high performance and scalability in microservices?

• A. DynamoDB
• B. RDS
• C. Redshift
• D. Amazon Aurora

Answer: (D)

A managed relational option with exceptional performance and scalable growth for relational data in microservices is Amazon Aurora. It’s part of the RDS family but is built with a purpose-built storage layer that separates compute from storage, giving much higher throughput than typical MySQL or PostgreSQL deployments on the same hardware. Storage automatically scales from 10 GB up to 64 TB per cluster, so you don’t have to provision capacity in advance as your microservices traffic grows.

Aurora supports up to 15 read replicas across Availability Zones, which helps handle read-heavy microservices workloads and keeps write latency low for transactional operations. It provides high availability with fault-tolerant storage across multiple AZs, automatic backups to S3, and failover that’s faster than standard relational databases. For fluctuating workloads, Aurora Serverless v2 offers on-demand compute scaling, so compute resources grow or shrink in response to traffic without manual tuning. Global Database enables cross-region replication for globally distributed services, further reducing latency for users far from the primary region.

In contrast, a fully managed relational option that is widely used is a general-purpose RDS deployment, but Aurora delivers higher performance and better scaling characteristics for many microservice patterns. DynamoDB is a NoSQL option and suitable for non-relational data, while Redshift is optimized for analytics rather than transactional workloads.