Amazon RDS vs Google Cloud SQL

Likelihood to Recommend

For a general-purpose workload, RDS is a perfect fit and works really well and takes care of a lot of stuff for you (replication, security, monitoring, scaling, storage, publishing logs to CloudWatch). If you have a read-intensive load though, you should probably think of switching to a NoSQL database service like DocumentDB or DynamoDB.

Read full review

Alok Patwal

Software Developer

ezDIHealth, Wellness and Fitness, 201-500 employees

View all 32 answers on this topic

Google Cloud SQL is a great resource for some purposes, but it's probably overkill for others.In cases where a database is not always needed (on sometimes, off others), it would be better to use a traditional software installation. If database needs are relatively small, software installation will perform just as well and be easier to support. If a database is only needed in one physical site or a small geographical region, it's better to use a regular server based installation. But as soon as a project has greater database needs, Google Cloud SQL is a great choice. Consider using it if any of these apply:

A large amount of data (10+ GB).
Decentralized access (many worksites, end-users, etc.).
Uptime and reliability are required.

Read full review

Verified User

Manager in Information Technology

Restaurants Company, 501-1000 employees

View all 7 answers on this topic

Feature Rating Comparison

Amazon RDS

Google Cloud SQL

Automatic software patching

Database scalability

Automated backups

Database security provisions

Monitoring and metrics

Automatic host deployment

Pros

End-to-end management of your database -- including configuration, handling security, and maintenance.
Offers compatibility with many (and the most popular) database technologies -- including but not limited to MySQL, Postgres, Microsoft SQL Server, Oracle DB.
Makes backups and replications very easy, which is one of the toughest things to do effectively.

Read full review

Gabriel Samaroo

Senior Software Engineer

RocketripComputer Software, 11-50 employees

View all 32 answers on this topic

It is fully managed, so it gives the user a hands-off approach to relational storage.
It has well-built APIs, so it is easy to access in a multitude of ways.
It is reasonably easy to use with the Google Cloud Console, so users can access it using a user interface.

Read full review

Cameron Gable

Software Engineer

Serimmune Inc.Biotechnology, 11-50 employees

View all 7 answers on this topic

Cons

My engineers would be able to speak more thoroughly to the cons. I have only benefited from the fruit of their labor. I can say that, from a Project Management standpoint (interfacing with RDS via a PostgreSQL client and my dashboards), it has only performed well so far.

Read full review

Kyle Reichelt

Senior Project Manager

OnMetricInternet, 11-50 employees

View all 32 answers on this topic

There are no multi-master replication options. That may be a problem on distributed, high load, high performance environments.
Not many DB vendors available. MySQL came first, PostgreSQL took longer to be available and just now SQL Server is being offered as Beta.
Can get pricey quickly if you need to grow fast and much.

Read full review

Leonel Quinteros

Director of Technology

Global Brigades, Inc.Philanthropy, 51-200 employees

View all 7 answers on this topic

Usability

Amazon RDS 8.3

Based on 3 answers

I've been using AWS Relational Database Services in several projects in different environments and from the AWS products, maybe this one together to EC2 are my favourite. They deliver what they promise. Reliable, fast, easy and with a fair price (in comparison to commercial products which have obscure license agreements).

Read full review

Erlon Sousa Pinheiro

Senior Devops Engineer

SOTIComputer & Network Security, 1001-5000 employees

View all 3 answers on this topic

No score

No answers yet

No answers on this topic

Ask the community to sound off

Support

Amazon RDS 9.1

Based on 7 answers

Support for overall AWS services is a 10. We had one issue with creating a dev / stage / prod database within Aurora and a quick call with Amazon allowed us to figure out the issues we were having and it was determined it was how we were creating our initial setup of the databases

Read full review

Matthew King

Technical Manager

Octo Consulting GroupComputer & Network Security, 201-500 employees

View all 7 answers on this topic

Google Cloud SQL 6.7

Based on 3 answers

Support for Google Cloud SQL is much like support for any other Google Cloud resource. There is extensive documentation from Google and some from the outside community. Google also provides surprisingly effective on-page tutorials to help when starting out. For anybody who is technically inclined, this will be more than enough to get started, the rest is just good old fashioned database administration.If personalized support is required, as with all Google Cloud resources, a paid support plan is required. This can be frustrating, but given the uniqueness and complexity of the platform for individual users, this is probably not avoidable.

Read full review

Verified User

Manager in Information Technology

Restaurants Company, 501-1000 employees

View all 3 answers on this topic

Alternatives Considered

Our other application components are all hosted within Amazon's systems already, and the tight coupling of RDS with the security groups and virtual private cloud offerings made locking down privacy and security much easier than integrating with an outside provider. The deeper support for Postgres also made it easier to make the decision for Amazon as that database was higher on our wish list.

Read full review

Eric Mann

Tekton

ToznyComputer & Network Security, 1-10 employees

View all 32 answers on this topic

The Google Cloud SQL offering fits into our development stack and was a clean replacement for our MySQL database. If we had been using SQL Server instead, then the offering from Azure would have made more sense. I have used both in the past and both work well, with GCP being a little less expensive.

Read full review

Verified User

C-Level Executive in Information Technology

Computer Software Company, 11-50 employees

View all 7 answers on this topic

Return on Investment

RDS makes projects much easier. Set up time is decreased, and it is very easy to create and destroy databases as needed for testing.
The ability to call AWS tech support for database-level issues and advice is a money saver if you don't have a high-end DBA on your team or need someone else to set things up with a little assistance.
It is cheap and easy to grant secure access to your RDS instances to other companies or divisions of your company that use AWS.

Read full review

Verified User

Manager in Information Technology

E-Learning Company, 51-200 employees

View all 32 answers on this topic

Google Cloud SQL has reduced our operational costs by not having to manage our own instance of the MySQL server.
Since code and SQL instance are now decoupled, it was possible to scale where we had to.

Read full review

Bhargav Nanekalva

Senior PHP Full Stack Developer

CloudSEKInternet, 51-200 employees

View all 7 answers on this topic

Amazon RDS vs Google Cloud SQL

Amazon RDS

Google Cloud SQL

Feature Rating Comparison

Database-as-a-Service

Automatic software patching

Database scalability

Automated backups

Database security provisions

Monitoring and metrics

Automatic host deployment

Pros

Cons

Usability

Support

Alternatives Considered

Return on Investment

Pricing Details

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

Rating Summary

Likelihood to Recommend

Likelihood to Renew

Usability

Support

Add comparison