Amazon Aurora vs Google Cloud SQL

A comparison of two cloud-based relational databases

Updated July 3, 2026

Score Breakdown

Amazon Aurora

Pick

Performance

Cost value

Features

Maturity

Total: 31 / 40

Google Cloud SQL

Performance

Cost value

Features

Maturity

Total: 29 / 40

Strengths & Weaknesses

Amazon Aurora

Highly performant

Compatible with MySQL and PostgreSQL

Supports automatic scaling

Limited support for Oracle compatibility

More expensive than Google Cloud SQL

Google Cloud SQL

Tight integration with Google Cloud services

Supports PostgreSQL, MySQL, and SQL Server

Easy to use

Limited support for advanced features

Not as performant as Amazon Aurora

When to Choose

Amazon Aurora

Best when you need a high-performance, scalable relational database with compatibility with MySQL and PostgreSQL

Google Cloud SQL

Best when you need a simple, easy-to-use relational database with tight integration with Google Cloud services

IT Intel Verdict

Pick: Amazon Aurora

Amazon Aurora is the clear winner due to its high performance, compatibility with MySQL and PostgreSQL, and support for automatic scaling. While Google Cloud SQL is a good option for those already invested in the Google Cloud ecosystem, its limited support for advanced features and lower performance make it less desirable for demanding use cases. Overall, Amazon Aurora's strengths make it IT Intel's top pick for cloud-based relational databases.

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