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Google Cloud SQL vs Microsoft Azure SQL Database comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Google Cloud SQL
Ranking in Database as a Service (DBaaS)
6th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
23
Ranking in other categories
Relational Databases Tools (19th), Database Management Systems (DBMS) (9th)
Microsoft Azure SQL Database
Ranking in Database as a Service (DBaaS)
1st
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
134
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 7.6%, down from 16.5% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 10.5%, down from 15.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Mindshare Distribution
ProductMindshare (%)
Microsoft Azure SQL Database10.5%
Google Cloud SQL7.6%
Other81.9%
Database as a Service (DBaaS)
 

Featured Reviews

Prathap Sankar - PeerSpot reviewer
Analytics Delivery Manager at Tredence Inc.
Gain control and flexibility with customizable tools but has slower performance
I am majorly working in Google Cloud SQL for building my applications Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed. The deployment model allows for…
Thomas Sawyer - PeerSpot reviewer
Executive Director, Platform Architecture at Sumitomo Mitsui Banking Corporation – SMBC Group
Automatic tuning and multi-region availability have reduced manual workloads and improved performance management
The features of Microsoft Azure SQL Database that I like the most are easy scaling and high availability. I appreciate those features because it's easy to make Microsoft Azure SQL Database readily available in a multi-region infrastructure. Using Microsoft Azure SQL Database is very easy; it's much easier than SQL on-premise because I don't have to worry about deploying infrastructure, and I can rapidly deploy via infrastructure as code. I am using the automatic tuning feature in Microsoft Azure SQL Database. We are using the new feature of data encryption in Microsoft Azure SQL Database with customer-managed keys only. The reliability and stability of Microsoft Azure SQL Database platform are rock-solid; it's as good, if not better, than what our on-premise stability has been from an uptime perspective.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The deployment model allows for significant control and flexibility."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"This is a stable solution and offers good performance."
"The implementation part of the product was easy."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed."
"Google Cloud SQL is highly scalable."
"SQL Server's ability to automate data processing and validation through virtual agents and integration with other Microsoft applications like Power Virtual Agents and Azure SQL has dramatically improved efficiency."
"Azure SQL Database is very quick and easy to use."
"We have used SQL for a long time. Azure SQL has helped teams across the organization to use SQL's full potential. I can't say what the cost savings were precisely, but I believe it has reduced the total cost of ownership."
"Microsoft Azure SQL Database scales well, allowing us to increase our compute level or add more instances as required."
"Azure SQL connects directly to our Power Platform apps, making it easy to use."
"It has significantly streamlined our disaster recovery plans, making it much more straightforward to spin up new instances as opposed to setting up a new VM with all necessary packages. The normal cost of our VMs with storage has been significantly reduced."
"The scalability and simple management of the infrastructure are the most valuable features."
"The main advantage of it is that there is no infrastructure cost. We don't have to host it here. So, there is no infrastructure cost."
 

Cons

"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."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"Google Cloud SQL needs to improve its support for high-end I/O operations."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"The product's user interface could be more user-friendly to improve the overall user experience."
"The performance compared to AWS is not as fast, and the technical support could be better as they don't have a dedicated team, but mostly AI handles the support now."
"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 solution could improve by allowing the export of the data more seamlessly. It is difficult to copy and back up data."
"Microsoft Azure SQL Database can be improved overall by being able to compete with some of the features that come from things such as PostgreSQL."
"Scalability is an issue because we can't upgrade to new versions due to hardware limitations."
"There is a need for dynamic scaling support without losing current transactions. That should be part of the standard offering to SKUs. It doesn't have Auto SQL. We have HyperSQL, but there are limitations on the Elastic Pool. It only allows 25 databases. It would help if we could automatically analyze and optimize long-running queries instead of handling these tasks manually."
"One of the nice features in Microsoft SQL Server is the SQL Server CLR, which we sometimes need to use to protect our procedures using C# or CLR. This is not available in the SQL Azure database."
"It does take some time to learn about the environment."
"There isn't any new improvement that I can think of at the moment. We have different deployment choices, such as running SQL on an Azure VM or deploying SQL-managed instances. The managed instance is a significant improvement over running SQL in an Azure VM."
"SQL Azure could improve by adding more features."
 

Pricing and Cost Advice

"It is not expensive, especially considering the significant reduction in database management time."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"You need to pay extra costs for backup and replication."
"The pricing is very much an important factor as to why we use this solution."
"The solution is affordable."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"I would like it to be cheaper, but comparatively, it is reasonably priced."
"The pricing is flexible and can be adapted based on our requirements but the pricing options are complex especially if we are using a VM."
"It is quite expensive. I would definitely recommend not using the pay-as-you-go model because this will just mean all your money will go to Microsoft. So, really make sure to control resource usage as much as possible."
"It only has a subscription-based license."
"It is beneficial in terms of cost because you are charged per data unit instead of licensing."
"I recommend considering a pay-as-you-go pricing model initially."
"The solution is expensive."
"The cost is around $2,000 per month."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
10%
Educational Organization
8%
University
8%
Financial Services Firm
13%
Marketing Services Firm
9%
Computer Software Company
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise9
By reviewers
Company SizeCount
Small Business59
Midsize Enterprise17
Large Enterprise61
 

Questions from the Community

What is your experience regarding pricing and costs for Google Cloud SQL?
We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.
What needs improvement with Google Cloud SQL?
Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive. From a user perspective, if Google Cloud SQL integrated AI directly into the query so tha...
What is your primary use case for Google Cloud SQL?
I have been using Google Cloud SQL for two or three years since I started.
What do you like most about SQL Azure?
The automated scalability feature of SQL Azure has proven to be highly beneficial, particularly when deployed in the cloud.
What is your experience regarding pricing and costs for SQL Azure?
I would say I am at a basic experience level with the pricing, setup costs and licensing because while I am the administrator for the service, I do not provision the services and worry about the co...
What needs improvement with SQL Azure?
I have no comments at the moment on how Microsoft Azure SQL Database can be improved. I have no comments on additional features that I would like to see released in the next release. I do not have ...
 

Overview

 

Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
adnymics GmbH, LG CNS, Centrebet, netfabb GmbH, MedPlast, Accelera Solutions, Sochi Organizing Committee, realzeit GmbH
Find out what your peers are saying about Google Cloud SQL vs. Microsoft Azure SQL Database and other solutions. Updated: March 2026.
883,619 professionals have used our research since 2012.