We performed a comparison between Amazon RDS and Google Cloud SQL based on real PeerSpot user reviews.
Find out in this report how the two Database as a Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."For me, RDS is a great solution. I like that Amazon RDS is a very simple solution to implement and to start using."
"Being able to change the size of an RDS MySQL instance is amazing."
"I recommend RDS because it makes your life super easy."
"The initial setup is straightforward, and technical support is good."
"It is stable, scalable, and easy to deploy."
"Amazon RDS gives us the ability to select as many tools, replicas, regions, and zones as we want."
"It is easy to use, flexible, and powerful."
"The IT is easy to set up, which is the best."
"I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect."
"The initial setup is straightforward."
"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."
"This is a stable solution and offers good performance."
"It supports different databases, like Postgres and MySQL."
"With my limited experience, I have noticed that documentation management could be improved. It could be better."
"You can only get access from the sales support. That means if you want to buy something or renew your subscription or upgrade, all these services are easily available. Yet, if you would like to get some technical support, you have to pay for it. You have to pay for an additional subscription."
"The Performance Monitor they have is a little clanky, at least in regards to the UI."
"One of the challenges of AWS RDS is that it doesn't support performance insight. So we need to write our own script or use third-party tools."
"I also don't think it's very scalable."
"Currently, we are using Fargate. Instead of that, we are planning to use EC2 instances, but we are facing some problems, and we are unable to enable NAT gateway for Elastic Load Balancer. When we enable auto-scaling, the instance count increases, and we get IP addresses dynamically. We need to whitelist the IPs of these instances, but there is no option to whitelist those IPs in Amazon RDS. We need one static IP that we can assign to ELB so that we can whitelist this IP."
"The solution is a bit expensive."
"The security features could be improved."
"The purging of the data could be better."
"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."
"In the case of Google, they need to work on a more easy interface for users."
"The monitoring part could be better."
"I am yet to explore a lot of features that are present in this solution. However, it would be good if more documentation is available for this solution. This would help us in preparing for the certification exam and understand it better. Currently, we don't have much documentation. We do the labs for 20 or 25 minutes, but we can't capture and download anything."
Amazon RDS is ranked 2nd in Database as a Service with 12 reviews while Google Cloud SQL is ranked 3rd in Database as a Service with 5 reviews. Amazon RDS is rated 8.6, while Google Cloud SQL is rated 8.4. The top reviewer of Amazon RDS writes "The product is pretty good for small or mid-scale organizations that don't have the luxury of proper DBAs or a large infra team". On the other hand, the top reviewer of Google Cloud SQL writes "Straightforward to set up with multi-region support and helpful for managing workflows". Amazon RDS is most compared with SQL Azure, Oracle Database as a Service, MongoDB Atlas, Google Cloud Spanner and Oracle Exadata Cloud at Customer, whereas Google Cloud SQL is most compared with SQL Azure, Google Cloud Spanner, MongoDB Atlas, Oracle Database as a Service and IBM Db2 on Cloud. See our Amazon RDS vs. Google Cloud SQL report.
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We monitor all Database as a Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
