AWS vs Heroku

• Heroku offers a wider entry point for small projects starting at $5.00/mo, whereas AWS RDS requires a minimum commitment of $11.68/mo for their base instance tiers.
• Storage scaling on AWS RDS is predictable at $0.12/GB for extra capacity, while Heroku scales by tier, pushing users toward $1500.00/mo for high-memory 126 GB RAM instances.
• AWS RDS explicitly charges $0.09/GB for egress, a cost that remains hidden in Heroku's higher monthly base fees, which bundle resources more aggressively to mask network overhead.
• Heroku provides granular vCPU allocation starting at 0.25 vCPU, while AWS RDS maintains a more rigid hardware baseline of 2 vCPU across its standard entry-level offerings.

AWS RDS operates on a model designed for teams that need direct control over underlying storage IOPS and read-replica configurations. By keeping the compute and storage billing transparent, AWS enables engineers to attach specific EBS volumes to AMD EPYC or Intel-based instances without the abstraction layers found in Platform-as-a-Service environments. For long-term production workloads, the $116.07/mo ceiling for 8 GB of RAM on RDS is often cheaper than scaling a comparable Heroku database, which forces users into expensive performance tiers to unlock similar memory capacity. While Heroku is faster to provision for prototypes, the cost curve steepens rapidly once your dataset exceeds the 5 GB mark found in their lower tiers.

Heroku is built for developers who want to avoid manual database maintenance, but the premium pricing for large-scale memory and disk usage creates a clear financial inflection point. If your project requires heavy disk persistence or high-concurrency connections, the raw infrastructure pricing of AWS RDS usually results in a lower monthly invoice, provided your team has the internal capacity to manage the database lifecycle without the convenience of a managed platform layer.