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AWS (Amazon Web Services) vs Google Cloud SQL

AWS (Amazon Web Services) logo

AWS (Amazon Web Services)

Cloud

The leading cloud computing platform

From
Free
Rated
-
Google Cloud SQL logo

Google Cloud SQL

Databases

Fully managed relational database service for MySQL, PostgreSQL, and SQL Server

From
Free
Rated
-

The short version

  • Each has a real cost: AWS (Amazon Web Services) data transfer in is free and data transfer out is charged, which is the standard source of unexpected bills; Google Cloud SQL locked into Google Cloud ecosystem with limited cross-cloud portability
  • They diverge on capability: AWS (Amazon Web Services) covers EC2 - Virtual Servers, Google Cloud SQL covers High Availability.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which AWS (Amazon Web Services) and Google Cloud SQL actually diverge.

Attributes where AWS (Amazon Web Services) and Google Cloud SQL differ
AttributeAWS (Amazon Web Services)Google Cloud SQL
PlatformsWeb, Api, Cli, MobileGoogle Cloud Platform
CategoryCloudDatabases
Founded20062008

Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in AWS (Amazon Web Services)

  • EC2 - Virtual Servers
  • S3 - Object Storage
  • RDS - Managed Database
  • Lambda - Serverless Computing
  • CloudFront - CDN
  • VPC - Virtual Network
  • IAM - Access Management
  • CloudWatch - Monitoring

Only in Google Cloud SQL

  • High Availability
  • Automated Backups
  • Point-in-time Recovery
  • Encryption
  • Regional/Zonal Instances
  • Read Replicas
  • Private IP
  • BigQuery

Both cover

  • Kubernetes

What people use each for

The jobs each tool is most often brought in to do.

AWS (Amazon Web Services)

  • Web hostingnot Google Cloud SQL
  • Data storage
  • Machine learningnot Google Cloud SQL
  • Big data analyticsnot Google Cloud SQL
  • Application developmentnot Google Cloud SQL

Google Cloud SQL

  • Transaction processingnot AWS (Amazon Web Services)
  • Data storage
  • Application backendnot AWS (Amazon Web Services)
  • Reportingnot AWS (Amazon Web Services)
  • Data analyticsnot AWS (Amazon Web Services)

Both are used for data storage, on those jobs the choice comes down to price and fit rather than capability.

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

AWS (Amazon Web Services)

  • Data transfer in is free and data transfer out is charged, which is the standard source of unexpected bills
  • Discounts require one or three year Savings Plan commitments rather than being automatic
  • Every service is priced separately, so a working architecture has no single published cost
  • The free tier is a promotional allowance rather than an ongoing free plan

Google Cloud SQL

  • Locked into Google Cloud ecosystem with limited cross-cloud portability
  • Pay-as-you-go pricing can become expensive with unpredictable workloads
  • Limited customization options compared to self-managed databases

Pricing, plan by plan

AWS (Amazon Web Services)

Free
  • AWS Free TierFree
    • EC2 750 hours/month
    • 5GB S3 storage
    • 20GB data transfer
  • Pay-As-You-GoFree
    • No upfront payment
    • No long-term commitments
    • Pay only for what you use

Google Cloud SQL

Free
  • Free TierFree
    • db-f1-micro instance
    • 30GB storage
    • Limited usage
  • Standard$25/month
    • High availability
    • Automated backups
    • Point-in-time recovery

Which should you pick?

Choose AWS (Amazon Web Services) if

  • You need ec2 - virtual servers.
  • You want to start without paying.
  • You work on Web, Api, Cli, Mobile.
  • You also want s3 - object storage.

Choose Google Cloud SQL if

  • You need high availability.
  • You want to start without paying.
  • You work on Google Cloud Platform.
  • You also want automated backups.

Questions people ask

Is AWS (Amazon Web Services) or Google Cloud SQL better?
Neither clearly leads. AWS (Amazon Web Services) starts at Free and Google Cloud SQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS (Amazon Web Services) or Google Cloud SQL?
AWS (Amazon Web Services) starts at Free and Google Cloud SQL at Free.
Does AWS (Amazon Web Services) or Google Cloud SQL run on more platforms?
AWS (Amazon Web Services) runs on Web, Api, Cli, Mobile. Google Cloud SQL runs on Google Cloud Platform.
Can I use AWS (Amazon Web Services) for free?
Both have a free tier, so you can try either at no cost before committing.
What is AWS (Amazon Web Services) best used for?
AWS (Amazon Web Services) is most often used for web hosting, data storage, machine learning, big data analytics. Of those, web hosting and machine learning are not what Google Cloud SQL is typically brought in for.
What can AWS (Amazon Web Services) do that Google Cloud SQL cannot?
AWS (Amazon Web Services) covers EC2 - Virtual Servers, S3 - Object Storage, RDS - Managed Database, Lambda - Serverless Computing. Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption. Both handle Kubernetes.

Answered from the vendors’ own pages

AWS (Amazon Web Services): What are AWS's payment options and pricing models?

AWS offers four pricing approaches: pay-as-you-go (you pay only for what you use), flat-rate plans combining multiple services into one monthly price without overages, Savings Plans offering discounts on compute and machine learning with 1- or 3-year commitments, and volume-based tiered pricing where costs decrease as usage increases.

Source
Google Cloud SQL: What database engines does Google Cloud SQL support?

Google Cloud SQL supports MySQL, PostgreSQL, and SQL Server. Users can choose their preferred engine when provisioning an instance and Google handles automated backups, replication, patching, and scaling.

Source
AWS (Amazon Web Services): Are there contracts, termination fees, or commitments required for AWS?

No long-term contracts are required for AWS services. No termination fees apply once you stop using the service. Savings Plans provide optional 1- or 3-year commitments with discounted hourly rates, but you can revert to pay-as-you-go pricing anytime.

Source
Google Cloud SQL: Does Google Cloud SQL have a free tier?

Google Cloud SQL does not have a free tier, though new users receive free trial credits from Google Cloud Platform. Pricing is based on compute resources (CPU and memory) and storage used, with options for committed use discounts.

Source
AWS (Amazon Web Services): Does AWS offer a free tier?

AWS provides a free tier that offers hands-on experience with AWS products at no charge. The free tier allows new customers to try eligible services before committing to paid usage.

Source
Google Cloud SQL: Can Google Cloud SQL scale automatically?

Yes. Cloud SQL automatically scales database storage and compute resources to handle increased workloads without manual intervention, and includes automated backups and high availability configurations.

Source
AWS (Amazon Web Services): How do I estimate my AWS costs?

AWS provides the AWS Pricing Calculator and Cost Explorer tool to estimate costs for single or multiple services. AWS also offers cost optimization recommendations, performance reporting, and budget alerts to help track and control spending.

Source
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