Softwr

Databases · head to head

Amazon RDS vs Google Cloud SQL

Amazon RDS logo

Amazon RDS

Databases

Set up, operate, and scale a relational database in the cloud

From
Free
Rated
-
Full reviewWebsite
Google Cloud SQL logo

Google Cloud SQL

Databases

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Amazon RDS no super-user access or direct host connectivity limits advanced customization; Google Cloud SQL locked into Google Cloud ecosystem with limited cross-cloud portability
  • They diverge on capability: Amazon RDS covers Multiple DB Engines, 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 Amazon RDS and Google Cloud SQL actually diverge.

Attributes where Amazon RDS and Google Cloud SQL differ
AttributeAmazon RDSGoogle Cloud SQL
PlatformsAWS Cloud, Multi-AZ, Multi-regionGoogle Cloud Platform
Founded20062008

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

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 Amazon RDS

  • Multiple DB Engines
  • Multi-AZ Deployment
  • Performance Insights
  • Automatic Scaling
  • MySQL
  • PostgreSQL
  • MariaDB
  • Oracle

Only in Google Cloud SQL

  • High Availability
  • Point-in-time Recovery
  • Regional/Zonal Instances
  • Private IP
  • BigQuery
  • Dataflow
  • App Engine
  • Cloud Functions

Both cover

  • Automated Backups
  • Read Replicas
  • Encryption
  • Web support

What people use each for

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

Amazon RDS

  • Transaction processing
  • Data storage
  • Application backend
  • Reporting
  • Data analytics

Google Cloud SQL

  • Transaction processing
  • Data storage
  • Application backend
  • Reporting
  • Data analytics

Both are used for transaction processing, data storage, application backend, reporting, data analytics, 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.

Amazon RDS

  • No super-user access or direct host connectivity limits advanced customization
  • Pricing unpredictable and expensive compared to GCP alternatives with equivalent features
  • Limited access to system procedures and tables requiring advanced permissions
  • No Oracle RAC (Real Application Clusters) support for high-availability Oracle deployments

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

Amazon RDS

Free
  • On-Demand Instances$undefined/per second
  • Reserved Instances$undefined/mo
  • Database Savings Plans$undefined/mo

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 Amazon RDS if

  • You need multiple db engines.
  • You want to start without paying.
  • You work on AWS Cloud, Multi-AZ, Multi-region.
  • You also want multi-az deployment.
Amazon RDS review

Choose Google Cloud SQL if

  • You need high availability.
  • You want to start without paying.
  • You work on Google Cloud Platform.
  • You also want point-in-time recovery.
Google Cloud SQL review

Questions people ask

Is Amazon RDS or Google Cloud SQL better?
Neither clearly leads. Amazon RDS 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, Amazon RDS or Google Cloud SQL?
Amazon RDS starts at Free and Google Cloud SQL at Free.
Does Amazon RDS or Google Cloud SQL run on more platforms?
Amazon RDS runs on AWS Cloud, Multi-AZ, Multi-region. Google Cloud SQL runs on Google Cloud Platform.
Can I use Amazon RDS for free?
Both have a free tier, so you can try either at no cost before committing.
What is Amazon RDS best used for?
Amazon RDS is most often used for transaction processing, data storage, application backend, reporting.
What can Amazon RDS do that Google Cloud SQL cannot?
Amazon RDS covers Multiple DB Engines, Multi-AZ Deployment, Performance Insights, Automatic Scaling. Google Cloud SQL covers High Availability, Point-in-time Recovery, Regional/Zonal Instances, Private IP. Both handle Automated Backups, Read Replicas, Encryption, Web support.

Answered from the vendors’ own pages

Amazon RDS: What is included in the AWS Free Tier for RDS?

For signups before July 15, 2025: 750 hours per month of single-AZ database instance usage (12 months), 20 GB General Purpose SSD storage monthly, 20 GB automated backup storage monthly, available engines include MySQL, MariaDB, PostgreSQL, SQL Server Express Edition. For signups after July 15, 2025: choice between Free Plan or Paid Plan, $100 in credits plus up to $100 additional credits for activating foundational services, credits valid 12 months. Free Tier unavailable in AWS GovCloud (US) and China (Beijing) regions.

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
Amazon RDS: How is data transfer priced in RDS?

Same Availability Zone (EC2 to RDS) is free. Multi-AZ replication is free. Cross-AZ within same region is 0.01 USD per GB in and out. Cross-region snapshots and backups follow standard data transfer charges.

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
Amazon RDS: What database engines are supported by RDS?

Aurora, MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, and IBM Db2. Pricing varies by engine.

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
Amazon RDS: What cost components are included in RDS monthly pricing?

DB instance hours (billed in 1-second increments, 10-minute minimum), storage per GB per month, I/O requests (Aurora and magnetic storage only), provisioned IOPS per month, backup storage, and data transfer fees.

Source
Share

Related pages

More on Amazon RDS

More on Google Cloud SQL

Keep looking

Other head to heads