AWS vs Microsoft Azure

AWS RDS and Azure Database services represent the standard enterprise baseline for managed relational workloads, though they scale quite differently under load. AWS RDS starts at $11.68/mo for 1 GB of RAM and sits at $116.07/mo for 8 GB configurations, consistently providing 2 vCPU cores across this entry tier. Azure takes a wider approach, offering a lower entry point of $7.59/mo with 1 GB of RAM, while scaling up to $280.00/mo for 16 GB of RAM and 4 vCPU cores. Azure also includes an initial storage allocation of 4 GB to 250 GB, whereas AWS RDS pricing structures often decouple storage provisioning from the base instance cost.

• Azure is more cost-effective for disk-heavy workloads, charging $0.08/GB for additional storage, while AWS charges a premium of $0.12/GB.
• Both providers align on network costs, charging an identical $0.09/GB for egress traffic moving out of the database environment.
• Azure’s upper-tier instances provide double the memory capacity of the AWS RDS range provided, reaching 16 GB compared to the 8 GB limit on the AWS tier.
• AWS maintains a uniform 2 vCPU count across its lower entry tier, which can be advantageous for multi-threaded query execution compared to Azure’s 1 vCPU base configuration.

Choosing between these two comes down to your specific memory and storage density requirements. Azure offers a superior price-to-performance ratio for large datasets requiring significant RAM and disk space, often running on underlying hardware similar to what you might find in a high-density data center. AWS RDS provides consistent compute parity at the lower end, which helps maintain predictable query performance for smaller application stacks. If your database grows beyond the 8 GB RAM threshold, AWS necessitates moving into significantly more expensive instance classes, whereas Azure allows for a more gradual, cost-contained climb into higher memory and core availability.