Google Cloud SQL vs Amazon RDS
Compare Google Cloud SQL vs Amazon RDS for managed database engines and migration choices. Review the deployment model, migration work and proposed acceptance checks.
Which option fits the workload?
Consider Google Cloud SQL when a Google Cloud application needs managed MySQL, PostgreSQL or SQL Server. Consider Amazon RDS when an AWS application needs a supported RDS database engine and AWS integration. Validate the required configuration and operating responsibilities before comparing costs.
Seven differences that change the shortlist
| Buying question | Google Cloud SQL | Amazon RDS |
|---|---|---|
| Product scope | Managed MySQL, PostgreSQL and SQL Server | Managed relational database service with multiple engine choices |
| Deployment context | Google Cloud database instances | AWS database instances |
| Application access | Google Cloud connectivity and database authentication configuration | AWS connectivity and database authentication configuration |
| Availability decision | Select the required Cloud SQL high-availability configuration | Select the required RDS deployment and availability configuration |
| Backup decision | Configure supported backup and recovery settings | Configure supported backup and recovery settings |
| Migration check | Validate source engine, version and supported extensions | Validate source engine, version and supported extensions |
| Cost exercise | Instance, storage, availability and transfer configuration | Instance, storage, availability and transfer configuration |
Four worked buying briefs
These are hypothetical scenarios with explicit assumptions. They do not establish equal capabilities, measured usability or a negotiated price.
| Requirement | Proposed exercise | Accept when |
|---|---|---|
| Engine compatibility | Import representative schema objects and required extensions. | All mandatory database objects are supported. |
| Application queries | Run the application's critical read and write operations. | Results and transaction behaviour match application expectations. |
| Restore drill | Restore a test backup into a separate environment. | The restored database passes application checks. |
| Maintenance plan | Review the retained engine version and maintenance arrangement. | The application owner can explain maintenance and recovery responsibilities. |
Engine compatibility
Can the team import representative schema objects and required extensions?
Google Cloud SQL: Using Google Cloud SQL, import representative schema objects and required extensions.
Amazon RDS: Using Amazon RDS, import representative schema objects and required extensions.
All mandatory database objects are supported.
Application queries
Can the team run the application's critical read and write operations?
Google Cloud SQL: Using Google Cloud SQL, run the application's critical read and write operations.
Amazon RDS: Using Amazon RDS, run the application's critical read and write operations.
Results and transaction behaviour match application expectations.
Restore drill
Can the team restore a test backup into a separate environment?
Google Cloud SQL: Using Google Cloud SQL, restore a test backup into a separate environment.
Amazon RDS: Using Amazon RDS, restore a test backup into a separate environment.
The restored database passes application checks.
Maintenance plan
Can the team review the retained engine version and maintenance arrangement?
Google Cloud SQL: Using Google Cloud SQL, review the retained engine version and maintenance arrangement.
Amazon RDS: Using Amazon RDS, review the retained engine version and maintenance arrangement.
The application owner can explain maintenance and recovery responsibilities.
Architecture and application fit
Start with the database engine. Cloud SQL and RDS are service families rather than a single SQL engine, so an engine-compatible comparison is more useful than comparing the product names alone.
Managed operations reduce infrastructure work, but application owners still need to manage schemas, queries, permissions and connection behaviour. Check engine versions, extensions, privileged operations and maintenance requirements before committing.
Google Cloud SQL product documentation ↗ · Amazon RDS product information ↗
Cost and migration planning
Compare equivalent availability and storage requirements. An entry-level instance and a resilient production configuration are different purchasing decisions even when they use the same database engine.
Run a rehearsal migration with representative data and application queries. Verify character sets, extensions, connection handling, recovery procedures and the achievable cutover window; a successful schema import is only one part of readiness.
Questions before you choose
When should I choose Google Cloud SQL over Amazon RDS?
Consider Google Cloud SQL when a Google Cloud application needs managed MySQL, PostgreSQL or SQL Server. Consider Amazon RDS when an AWS application needs a supported RDS database engine and AWS integration. Validate the required configuration and operating responsibilities before comparing costs.
What should we include in the cost comparison?
Compare equivalent availability and storage requirements. An entry-level instance and a resilient production configuration are different purchasing decisions even when they use the same database engine.
What should we test before a production migration?
Run a rehearsal migration with representative data and application queries. Verify character sets, extensions, connection handling, recovery procedures and the achievable cutover window; a successful schema import is only one part of readiness.
Turn the comparison into your own evaluation
Use the same criteria and priorities for both products, keep unknowns unassessed and record the plan and evidence behind your ratings.
Build a Google Cloud SQL vs Amazon RDS scorecard →Keep the assumptions with the figures
Use the date, billing cycle, units and limits with each example. Check current account terms before purchasing. Unverified prices and model costs stay unpriced.
Download the buying examples as JSON ↓Share the comparison
Use these examples when discussing the shortlist with your team.