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 initial setup is straightforward, and technical support is good."
"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."
"The tool is very easy to use and configure."
"It is very easy to set up initially."
"The most valuable aspect of Amazon RDS is it is on the cloud."
"The IT is easy to set up, which is the best."
"Encryption is the most valuable feature."
"Relational databases excel in extensive normalization, eliminating data redundancy and efficiently structuring tables which leads to a clear and efficient relationship between tables using primary keys."
"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."
"The solution is easy to use. I am impressed with the tool's features and functionality."
"It supports different databases, like Postgres and MySQL."
"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"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."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"This is a stable solution and offers good performance."
"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."
"I would like to see improvements in the tool's automatic restart."
"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."
"A lot of the features are disabled by default. The solution should enable more features. I understand this could cause challenges to management for many clients using RDS, however."
"In the next release, it would be great to have access to core parameters to improve or tweak the performance."
"Amazon RDS could improve by having more sophisticated. I use other solutions that have better technology for more difficult tasks."
"Amazon has a policy of automatically restarting the server every seven days."
"One notable improvement that could enhance the database management experience, particularly during migration scenarios, is the accessibility of the root user."
"The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"The only thing that could be better is the pricing."
"In the case of Google, they need to work on a more easy interface for users."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"The monitoring part could be better."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"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.
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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.
