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.
"Amazon RDS is good for backups, auto-scanning, and disaster recovery. It's also appropriate for the office server."
"Amazon RDS is quite a well-managed and stable service...The initial setup was very easy."
"For me, RDS is a great solution. I like that Amazon RDS is a very simple solution to implement and to start using."
"Amazon RDS is easy to maintain and easy to deploy."
"Stability-wise, I rate the solution a nine out of ten...Scalability-wise, I rate the solution a nine out of ten."
"Amazon RDS is lightweight and flexible."
"The initial setup is straightforward, and technical support is good."
"The product is very, very easy to use."
"It supports different databases, like Postgres and MySQL."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"Ease of management and the ability to oversee the statistics of your SQL."
"This is a stable solution and offers good performance."
"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."
"The initial setup is straightforward."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"When you are using it for the first time, it is a little bit hard to configure. The first-time configuration is not very easy. It should be easier to configure. Its installation should also be simpler. Currently, its installation is very complex. With SQL Server, we have access to the SQL Server analysis services and reporting services, but such services are not available with Amazon RDS."
"The solution could improve by adding a sandbox environment and more security."
"Technical support could be better."
"In the next release, it would be great to have access to core parameters to improve or tweak the performance."
"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 like using Amazon RDS because it offers quick operations for me. However, there are times when understanding how to use some of the services can be challenging, even with documentation. If I could add a feature, I'd improve navigation for related services."
"The support team of Amazon RDS provides us with some links to go through whenever we face some issues, but it doesn't work for us."
"The product must add more older versions of the database engines."
"In the case of Google, they need to work on a more easy interface for users."
"The only thing that could be better is the pricing."
"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 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."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"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."
"The purging of the data could be better."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
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 18 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.
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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.
