Amazon Relational Database Service (RDS) vs Google Cloud SQL
When assessing the two solutions, reviewers found Google Cloud SQL easier to use, set up, and administer. Reviewers also preferred doing business with Google Cloud SQL overall.
Reviewers felt that Google Cloud SQL meets the needs of their business better than Amazon Relational Database Service (RDS).
When comparing quality of ongoing product support, reviewers felt that Google Cloud SQL is the preferred option.
For feature updates and roadmaps, our reviewers preferred the direction of Amazon Relational Database Service (RDS) over Google Cloud SQL.
Pricing
Entry-Level Pricing
Amazon Relational Database Service (RDS)
No pricing available
Google Cloud SQL
Committed Use Discounts
Pay As You Go
Per Month
You can lower the cost by purchasing 1-year or 3-year commitment plans. Visit cloud.google.com/sql/pricing to check pricing for your region.
CPU and memory
Other features are available only through on-demand model
Amazon Relational Database Service (RDS) Discussions
What is Amazon Relational Database Service (RDS) used for?
2 Comments
AJ
Amazon Relational Database Service (RDS) is a cloud-based service offered by Amazon Web Services (AWS) that is used for managing and operating relational...Read more
An Amazon RDS performance best practice is to allocate enough RAM so that your working set resides almost completely in memory.
Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational databases on Google Cloud...Read more
How much is Google Cloud SQL?
2 Comments
PS
It depends on different type of instances and configuration you use. It starts from 0.01 USD per hour.Read more
What is Google Cloud SQL used for?
2 Comments
HC
Cloud SQL automates tasks such as: Backups, Replication, Patches, Encryption, Storage capacity increases.Read more
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