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."
"The solution's customer service is excellent."
"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 good for backups, auto-scanning, and disaster recovery. It's also appropriate for the office server."
"Amazon RDS is a scalable solution."
"The product is very, very easy to use."
"It is easy to use, flexible, and powerful."
"Being able to change the size of an RDS MySQL instance is amazing."
"The implementation part of the product was easy."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"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."
"The initial setup is straightforward."
"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."
"Currently, speaking of Microsoft SQL on RDS, you don't have a full option to be able to use it directly on RDS. So, it needs improvement."
"The solution could improve by adding a sandbox environment and more security."
"The solution's version upgrade and performance could be improved."
"The Amazon RDS engine could provide features for additional databases, such as Db2. It could also provide support for other databases, such as NoSQL databases, DynamoDB, and Apache Cassandra. They could all stay under one hood."
"AWS support is decent, but it's not as good as before. Sometimes, we get junior staff who are unable to answer our questions. It also depends on the support team you get. Support based in Europe and Australia is better than US support. For example, European support is quick to deliver the right answer. US support handles routine maintenance issues, and it's mostly junior staff who don't know the product well."
"The product should support new databases."
"Technical support could be better."
"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."
"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 vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."
"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."
"The monitoring part could be better."
"It is hard to do logging with the solution."
"The customer support should be improved."
"The only thing that could be better is the pricing."
"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 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.
