We compared Amazon RDS and Google Cloud SQL based on our user's reviews in several parameters.
In summary, Amazon RDS is praised for its ease of use, scalability, high availability, and strong customer support, with users highlighting the automation features and value for money. On the other hand, Google Cloud SQL is lauded for its scalability, integration with other Google services, performance, and affordability, with users appreciating the flexible storage options and efficient customer service. Areas for improvement for Amazon RDS include better documentation and performance optimization tools, while Google Cloud SQL users suggest enhancements in scalability, monitoring tools, and pricing transparency.
Features: Amazon RDS is commended for its ease of use, scalability, high availability, and automated backups. Users appreciate its simplified database management and the ability to easily scale their instances. Google Cloud SQL is praised for its seamless integration with other services, excellent backup and restoration capabilities, and automated maintenance tools. It offers a robust solution for managing databases in the cloud.
Pricing and ROI: The setup cost for Amazon RDS is reported to be minimal and hassle-free, while the setup cost for Google Cloud SQL is well-managed, ensuring a smooth and hassle-free process. Both products have straightforward and transparent licensing terms, providing clarity to users., Amazon RDS users reported a positive ROI, finding value and benefits for their business. Google Cloud SQL users shared their experiences and outcomes of utilizing the product.
Room for Improvement: Amazon RDS users have pointed out the need for better documentation, detailed error messages, improved performance optimization tools, flexible configuration options, third-party tool integration, and a simplified user interface. Google Cloud SQL users also recommended enhancements in performance optimization, scalability, availability, monitoring, management tools, transparent pricing models, documentation, and support resources.
Deployment and customer support: Based on user reviews, the duration required to establish a new tech solution varies between Amazon RDS and Google Cloud SQL. Users reported spending different amounts of time on deployment and setup with Google Cloud SQL, suggesting that these phases should be considered individually. On the other hand, with Amazon RDS, users' feedback indicates that the terms deployment and setup may refer to the same period and should not be evaluated separately., Customers have reported highly satisfactory and reliable customer service from both Amazon RDS and Google Cloud SQL. However, Amazon RDS stands out for its efficient query resolution and helpful guidance, while Google Cloud SQL excels in prompt assistance and quick response times. Additionally, users appreciate the knowledgeable and friendly nature of the support teams in both services.
The summary above is based on 38 interviews we conducted recently with Amazon RDS and Google Cloud SQL users. To access the review's full transcripts, download our report.
"The most valuable feature is that it is a fully managed database, where they handle most of the administrative tasks and leaves the users more time to concentrate on business."
"It is stable, scalable, and easy to deploy."
"The product's installation phase is easy."
"The solution is good for on-premise deployments."
"Amazon RDS is a scalable solution."
"The IT is easy to set up, which is the best."
"The dashboard and performance are the most valuable features of Amazon RDS."
"The Amazon RDS features I found most valuable are snapshots and automatic backups."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"The setup was straightforward. Just a couple of clicks, and we were done."
"Its most valuable feature is that it's scalable. I can start off with a base of a lot of data and move as much as I want and it's the same as if asked to do a lot of infrastructure changes."
"Ease of management and the ability to oversee the statistics of your SQL."
"It supports different databases, like Postgres and MySQL."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"The solution is easy to use. I am impressed with the tool's features and functionality."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"The solution could improve by adding a sandbox environment and more security."
"The product must add more older versions of the database engines."
"It would be better if it integrated seamlessly with Microsoft products. Our clients use the Microsoft Tally application server. We already tried to create a reputation from, for example, an on-premises environment from our client to Amazon RDS using Microsoft Tally server, and we couldn't do that because we didn't have a strong user in RDS. We couldn't create a reputation from an on-premises environment from the Microsoft Tally server to RDS. I think that it would be a good implementation, and it would help us with this case."
"I also don't think it's very scalable."
"Amazon RDS should have a more user-friendly graphical user interface and include better database management options."
"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 product's high price is an area of concern where improvements are required."
"The product should support new databases."
"The customer support should be improved."
"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."
"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."
"The purging of the data could be better."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"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."
"The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use."
"It is hard to do logging with the solution."
Amazon RDS is ranked 1st in Database as a Service with 45 reviews while Google Cloud SQL is ranked 5th in Database as a Service with 16 reviews. Amazon RDS is rated 8.4, while Google Cloud SQL is rated 8.4. The top reviewer of Amazon RDS writes "Provides excellent authentication, authorization, integration, data protection, and autoscaling features". On the other hand, the top reviewer of Google Cloud SQL writes "An easy-to-use solution with good features and functionality ". Amazon RDS is most compared with MongoDB Atlas, SQL Azure, Oracle Database as a Service, Google Cloud Spanner and Oracle Exadata Cloud at Customer, whereas Google Cloud SQL is most compared with SQL Azure, MongoDB Atlas, Oracle Database as a Service, Google Cloud Spanner and Oracle Exadata Cloud at Customer. See our Amazon RDS vs. Google Cloud SQL report.
See our list of best Database as a Service vendors.
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.