Amazon RDS vs Google Cloud SQL comparison

Cancel
You must select at least 2 products to compare!
Amazon Web Services (AWS) Logo
9,253 views|7,505 comparisons
97% willing to recommend
Google Logo
5,702 views|5,175 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary
Updated on Mar 6, 2024

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.

To learn more, read our detailed Amazon RDS vs. Google Cloud SQL Report (Updated: May 2024).
771,212 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution is scalable and can be configured with AWS Secrets Manager.""The product is very, very easy to use.""Amazon RDS is quite a well-managed and stable service...The initial setup was very easy.""Amazon RDS is good for backups, auto-scanning, and disaster recovery. It's also appropriate for the office server.""It is stable, scalable, and easy to deploy.""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.""Amazon RDS is a scalable solution.""The IT is easy to set up, which is the best."

More Amazon RDS Pros →

"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform.""The most valuable features are that it's easy to use, simple, and user-friendly.""The initial setup is straightforward.""The setup was straightforward. Just a couple of clicks, and we were done.""What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications.""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.""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."

More Google Cloud SQL Pros →

Cons
"I would like to see improvements in the tool's automatic restart.""In the next release, it would be great to have access to core parameters to improve or tweak the performance.""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 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 security features could be improved.""Sometimes the interface has many moving parts, which is a concern.""I feel Amazon RDS should have a lot of functionalities to make monitoring within the database easier.""The running cost could be improved."

More Amazon RDS Cons →

"It is hard to do logging with the solution.""The only thing that could be better is the pricing.""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.""I would like to see better integration with all the different tools on the platform.""The customer support should be improved.""The purging of the data could be better.""The monitoring part could be better.""For data analysis, the AI area of the product has certain shortcomings where improvements are required."

More Google Cloud SQL Cons →

Pricing and Cost Advice
  • "By using a combination of Reserve Instances and On-Demand pricing, you can reduce the cost."
  • "The cost of using this solution is similar to that of having your own data center."
  • "The price could be better."
  • "It is less expensive than SQL Server. We pay based on the usage on a monthly basis."
  • "We are paying for a service license."
  • "Licensing fees are paid on an annual basis."
  • "if you don't know how to optimize and use your tool properly, the cost might hurt you."
  • "Amazon RDS could improve by reducing the price."
  • More Amazon RDS Pricing and Cost Advice →

  • "The pricing is very much an important factor as to why we use this solution."
  • "It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
  • "From a financial perspective, Google Cloud SQL is on the cheaper side."
  • "You need to pay extra costs for backup and replication."
  • "The solution is affordable."
  • "It is not expensive, especially considering the significant reduction in database management time."
  • More Google Cloud SQL Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Database as a Service solutions are best for your needs.
    771,212 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:The product's installation phase is easy.
    Top Answer:The product is expensive. If Cisco needs two servers, Amazon uses four.
    Top Answer:The product's high price is an area of concern where improvements are required.
    Top Answer:The implementation part of the product was easy.
    Top Answer:It is not expensive, especially considering the significant reduction in database management time.
    Top Answer: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.
    Ranking
    1st
    Views
    9,253
    Comparisons
    7,505
    Reviews
    32
    Average Words per Review
    380
    Rating
    8.4
    5th
    Views
    5,702
    Comparisons
    5,175
    Reviews
    9
    Average Words per Review
    414
    Rating
    8.0
    Comparisons
    Also Known As
    RDS
    Learn More
    Overview

    Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizeable capacity for an industry-standard relational database and manages common database administration tasks.

    Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.
    Sample Customers
    Edmodo
    BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Financial Services Firm18%
    Government14%
    Comms Service Provider9%
    VISITORS READING REVIEWS
    Financial Services Firm13%
    Computer Software Company13%
    Retailer7%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company11%
    Retailer10%
    Comms Service Provider8%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise17%
    Large Enterprise41%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise17%
    Large Enterprise60%
    REVIEWERS
    Small Business40%
    Midsize Enterprise13%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise66%
    Buyer's Guide
    Amazon RDS vs. Google Cloud SQL
    May 2024
    Find out what your peers are saying about Amazon RDS vs. Google Cloud SQL and other solutions. Updated: May 2024.
    771,212 professionals have used our research since 2012.

    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.