Amazon RDS vs Google Cloud SQL comparison

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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: March 2024).
765,386 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
"Amazon RDS is easy to maintain and easy to deploy.""Encryption is the most valuable feature.""The tool is very easy to use and configure.""The product is very, very easy to use.""Stability-wise, I rate the solution a nine out of ten...Scalability-wise, I rate the solution a nine out of ten.""The product solved our DevOps and admin problems.""The solution's customer service is excellent.""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."

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"My suggestion to anyone thinking about this solution is to jump into it head-first!""It is not the cool features that I find valuable, it is the stability of Google Cloud Platform.""The initial setup is straightforward.""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.""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 is easy to use. I am impressed with the tool's features and functionality.""The setup was straightforward. Just a couple of clicks, and we were done.""The valuable feature of Google Cloud SQL is its high availability option. The product is stable."

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Cons
"Amazon RDS should have a more user-friendly graphical user interface and include better database management options.""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.""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.""The product should support new databases.""Sometimes the interface has many moving parts, which is a concern.""The solution could improve by adding a sandbox environment and more security.""There are a few aspects of database management that have room for improvement. There are a few parameters in the solution that are a bit unclear at our end as it's not understandable."

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"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 customer support should be improved.""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.""For data analysis, the AI area of the product has certain shortcomings where improvements are required.""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.""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 monitoring part could be better."

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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 →

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    Questions from the Community
    Top Answer:I use Amazon RDS to store and manage data securely. It helps me retrieve information and gain insights from the data that comes in for my business or specific applications.
    Top Answer: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… more »
    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:For data analysis, the AI area of the product has certain shortcomings where improvements are required.
    Ranking
    1st
    Views
    9,838
    Comparisons
    7,949
    Reviews
    32
    Average Words per Review
    374
    Rating
    8.4
    5th
    Views
    6,103
    Comparisons
    5,513
    Reviews
    9
    Average Words per Review
    388
    Rating
    7.9
    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%
    Comms Service Provider6%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company13%
    Retailer9%
    Comms Service Provider8%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise20%
    Large Enterprise39%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise16%
    Large Enterprise61%
    REVIEWERS
    Small Business40%
    Midsize Enterprise13%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise13%
    Large Enterprise66%
    Buyer's Guide
    Amazon RDS vs. Google Cloud SQL
    March 2024
    Find out what your peers are saying about Amazon RDS vs. Google Cloud SQL and other solutions. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Amazon RDS is ranked 1st in Database as a Service with 44 reviews while Google Cloud SQL is ranked 5th in Database as a Service with 15 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.