Where should you start?
Our recommendation is to begin with the cloud hosting your application. Evaluate RDS for an AWS application and Flexible Server for an Azure application, then compare an alternative if it addresses a specific requirement. This reduces the number of networking and access decisions you need to make.
Neither service is automatically the cheaper or better option. That decision needs matched regional rates, a defined workload, and a recovery requirement.
Compare the same availability requirement
For a development database, you might accept an interruption while restoring service. For a customer-facing application, you might need a standby and automatic failover. Decide what the app needs before comparing configurations.
AWS offers several Multi-AZ arrangements. Azure offers primary and standby configurations with zone choices that depend on regional support. Use the sourced table above to identify the setup, then check its current regional availability.
Do not price one database with a standby against another without one and treat the difference as provider savings. Also check whether you need read capacity: a failover standby should not be assumed to serve application reads.
Choose the recovery workflow before comparing cost
Availability and recovery solve different problems. A standby can keep the database reachable while an incorrect update is copied to it. Use the sourced retention, restore-target, and backup-copy rows above to plan recovery from a data mistake separately from failover.
Make retention explicit in provisioning
For RDS, review the retention setting in your infrastructure configuration rather than assuming every deployment starts with the same protection. For Azure, choose a restore window that covers how long your team might take to discover an error. Our recommendation is to document the chosen window and who checks that backups are working.
Include application reconnection in the restore drill
Restoring data is only part of recovery. Plan how the application will reach the restored database, which network rules and parameters it needs, and how you will validate the data before switching traffic. Measure the time for that complete process; the retention window is not a promise about recovery speed.
Separate managed recovery from a portable copy
An RDS snapshot workflow and an Azure logical export serve different purposes. Decide whether you need recovery within the provider, a copy that survives database deletion, or data you can move to another environment. Use the backup-copy and export row to choose the workflow, then test it with your extensions and data types.
For a fair cost request, include retained snapshots or exports, backup storage beyond the provider’s allowance, and any copies to another region. A longer recovery window and a portable copy may require separate storage and operating work.
Prepare a comparable pricing request
Write down the following for both providers:
- Exact provider region and PostgreSQL version.
- Compute class or tier, processor architecture, memory, and runtime.
- Primary and standby count, plus any read replicas.
- Storage capacity, performance requirements, and expected growth.
- Backup retention, additional snapshots or copies, and transfer requirements.
Ask for the recurring cost without promotional credits first. Then calculate any eligible discount or credit as a separate case. A rate for the smallest configuration is not a bill for your application.
Our selection rule
Choose the service that meets the app’s requirements with an operating model your team can support. If the two configurations meet the same needs, compare the complete recurring estimate and migration work before making the decision.
For Oracle Cloud and the wider shortlist, see the managed PostgreSQL comparison. For source handling and exclusions, read our comparison method.