Amazon Aurora vs Google Cloud SQL

Amazon Aurora9.0Visit Google Cloud SQL8.8Visit

Higher score Amazon Aurora #5 in Relational Databases 9.0/10 Paid ✓ 4 of 4 features Visit AWS Aurora

vs

Google Cloud SQL #7 in Relational Databases 8.8/10 Paid ✓ 3 of 4 features Visit Google Cloud

• Amazon Aurora fits best

  Scalable managed PostgreSQL or MySQL

• Google Cloud SQL fits best

  Managed databases in Google Cloud

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Side by side

Feature	Amazon Aurora 9.0/10 Visit ↗	Google Cloud SQL 8.8/10 Visit ↗
At a glance
Editor score	9.0	8.8
Ranking	#5 in Relational Databases	#7 in Relational Databases
Best for	Scalable managed PostgreSQL or MySQL	Managed databases in Google Cloud
Pricing model	Paid	Paid
Starting price	—	$0.04 usage-based
Free plan	—	—
Free trial	—	—
Deployment	Cloud	Cloud
Platforms	Web	Web
Integrations	9 integrations	6 integrations
Features Amazon Aurora 4/4 · Google Cloud SQL 3/4
Managed service	✓	✓
High availability	✓	✓
Read replicas	✓	✓
JSON data support	✓ (best)	Not checked yet
Specs
Deployment model	Cloud	Cloud
Backup retention	Not checked yet	7 days
Maximum connections	Not checked yet	Not checked yet
Our review
Pros	PostgreSQL- and MySQL-compatible engines with serverless options Automatic scaling, failover, backups, and point-in-time recovery Up to 15 read replicas plus multi-Region database support	Supports managed MySQL, PostgreSQL, and SQL Server instances Regional failover, replicas, encryption, and point-in-time backups Integrates with BigQuery, Cloud Run, GKE, and Cloud Observability
Cons	No permanent free plan Pricing varies by region, engine, capacity, storage, and I/O Cloud-based service with AWS ecosystem dependencies	No free plan is available Pricing varies by region, engine, machine type, storage, and configuration Advanced capabilities are tied to the Google Cloud ecosystem
Our verdict	Amazon Aurora is a fully managed, cloud-based relational database service from Amazon Web Services. It supports PostgreSQL- and MySQL-compatible engines, along with Aurora DSQL, a distributed SQL engine. Provisioned and serverless… Read the review →	Google Cloud SQL is a fully managed relational database service for MySQL, PostgreSQL, and SQL Server. It is designed for teams that want database administration tasks such as backups, maintenance, updates, encryption, monitoring, logging,… Read the review →

Strengths and trade-offs

• Amazon Aurora — where it wins

  • PostgreSQL- and MySQL-compatible engines with serverless options
  • Automatic scaling, failover, backups, and point-in-time recovery
  • Up to 15 read replicas plus multi-Region database support

  Where it doesn't

  • No permanent free plan
  • Pricing varies by region, engine, capacity, storage, and I/O
  • Cloud-based service with AWS ecosystem dependencies

• Google Cloud SQL — where it wins

  • Supports managed MySQL, PostgreSQL, and SQL Server instances
  • Regional failover, replicas, encryption, and point-in-time backups
  • Integrates with BigQuery, Cloud Run, GKE, and Cloud Observability

  Where it doesn't

  • No free plan is available
  • Pricing varies by region, engine, machine type, storage, and configuration
  • Advanced capabilities are tied to the Google Cloud ecosystem

• Amazon Aurora9.0/10 · Paid

  A managed AWS database for scalable PostgreSQL, MySQL, and distributed SQL workloads.

  Visit AWS AuroraFull verdict →
• Google Cloud SQL8.8/10 · Paid

  A managed MySQL, PostgreSQL, and SQL Server service with strong Google Cloud integration.

  Visit Google CloudFull verdict →