Google Cloud SQL vs Azure Database for PostgreSQL
For a PostgreSQL application, compare Cloud SQL for PostgreSQL with Azure Database for PostgreSQL. Cloud SQL also has MySQL and SQL Server options, so an unspecified Cloud SQL quote is not an engine-matched comparison.
Which option fits the requirement?
For a PostgreSQL application, compare Cloud SQL for PostgreSQL with Azure Database for PostgreSQL. Cloud SQL also has MySQL and SQL Server options, so an unspecified Cloud SQL quote is not an engine-matched comparison.
Seven differences that change the shortlist
| Buying question | Google Cloud SQL | Azure Database for PostgreSQL |
|---|---|---|
| Cloud provider | Google Cloud | Microsoft Azure |
| Engine scope | MySQL, PostgreSQL or SQL Server | Managed PostgreSQL |
| Deployment unit | Cloud SQL instance | PostgreSQL server configuration |
| Read-capacity planning | Selected engine and replica arrangement | Selected compute and supported replica arrangement |
| Network context | Google Cloud network connectivity | Azure networking configuration |
| Compatibility check | Exact engine version, extensions and supported operations | PostgreSQL version, extensions and supported operations |
| Cost components | Instance resources, storage, availability and transfer | Server compute, storage, backups and availability 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 |
|---|---|---|
| Schema compatibility | Import required schema objects and extensions. | Every mandatory object is supported by the selected configuration. |
| Application transactions | Run representative critical read and write transactions. | Results and transaction outcomes match the application specification. |
| Restore drill | Restore a test backup into a separate environment. | The restored database passes application checks. |
| Cutover plan | Rehearse application reconnection and rollback. | The team can explain the cutover and recovery sequence. |
Schema compatibility
Can the team import required schema objects and extensions?
Google Cloud SQL: With Google Cloud SQL, import required schema objects and extensions.
Azure Database for PostgreSQL: With Azure Database for PostgreSQL, import required schema objects and extensions.
Every mandatory object is supported by the selected configuration.
Application transactions
Can the team run representative critical read and write transactions?
Google Cloud SQL: With Google Cloud SQL, run representative critical read and write transactions.
Azure Database for PostgreSQL: With Azure Database for PostgreSQL, run representative critical read and write transactions.
Results and transaction outcomes match the application specification.
Restore drill
Can the team restore a test backup into a separate environment?
Google Cloud SQL: With Google Cloud SQL, restore a test backup into a separate environment.
Azure Database for PostgreSQL: With Azure Database for PostgreSQL, restore a test backup into a separate environment.
The restored database passes application checks.
Cutover plan
Can the team rehearse application reconnection and rollback?
Google Cloud SQL: With Google Cloud SQL, rehearse application reconnection and rollback.
Azure Database for PostgreSQL: With Azure Database for PostgreSQL, rehearse application reconnection and rollback.
The team can explain the cutover and recovery sequence.
Scope and architecture
For a PostgreSQL application, compare Cloud SQL for PostgreSQL with Azure Database for PostgreSQL. Cloud SQL also has MySQL and SQL Server options, so an unspecified Cloud SQL quote is not an engine-matched comparison.
The service family name is not the database engine. Select the engine, version, extensions, availability configuration and connection behaviour before making an engine-compatible comparison.
Google Cloud SQL product information ↗ · Azure Database for PostgreSQL product information ↗
Cost and migration planning
For Google Cloud SQL, include instance resources, storage, availability and transfer. For Azure Database for PostgreSQL, include server compute, storage, backups and availability configuration. Use the same workload and resilience assumptions, then confirm current vendor terms for the selected configuration.
Import representative schemas and data, then run the application's critical queries and transactions. Check extensions, privileged operations, maintenance behaviour and restore procedures before planning a production cutover.
Questions before you choose
How should we choose between Google Cloud SQL and Azure Database for PostgreSQL?
For a PostgreSQL application, compare Cloud SQL for PostgreSQL with Azure Database for PostgreSQL. Cloud SQL also has MySQL and SQL Server options, so an unspecified Cloud SQL quote is not an engine-matched comparison.
Which costs belong in the comparison?
For Google Cloud SQL, include instance resources, storage, availability and transfer. For Azure Database for PostgreSQL, include server compute, storage, backups and availability configuration. Use the same workload and resilience assumptions, then confirm current vendor terms for the selected configuration.
What should we validate before a production move?
Import representative schemas and data, then run the application's critical queries and transactions. Check extensions, privileged operations, maintenance behaviour and restore procedures before planning a production cutover.
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 Azure Database for PostgreSQL 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.