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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

"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."
"Google Cloud SQL is very easy to use and easy to set up; it brings the benefits of being simple to perform queries, store data that I needed to store, and extract data when I needed to extract it quite quickly, without having to set up a full database and queries around it."
"This is a stable solution and offers good performance."
"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."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"The stability is good and the performance is fantastic. Even when we try to do an inquiry into issues we can do it easily."
"Azure SQL Database is very quick and easy to use. It certainly makes my infrastructure and development teams more efficient."
"Customers can benefit from a lot of cost savings if they go for Azure."
"Microsoft Azure SQL Database has helped us tremendously with regards to cost and scaling, and it is just really easy to use and really easy with permissions as well through Entra ID."
"I like that Microsoft Azure SQL Database is almost identical to an on-premise SQL Server except for a few things, like how you edit rows and some jobs that you can't run."
"Azure SQL is easy to integrate and simplifies things from a licensing perspective. We're comfortable with SQL versus other types of databases, so we feel better talking to Microsoft."
"The database is extremely scalable, allowing seamless scaling up or down with a simple change in parameters."
"We primarily and generally use it only for DB purposes. When it comes to the Azure part, we can easily provision, scale up, and scale down the generator machine. This kind of flexibility is the USP of SQL Azure. Its interface and ease of use are also valuable. It is very easy to use and integrate with multiple databases. If I need to pull in or import some data from my on-premises database, the ease with which you can connect and pull the data, not only from SQL Server but also from other flavors of MySQL or even Oracle, is very good."
 

Cons

"In the case of Google, they need to work on a more easy interface for users."
"The overall documentation and the connectors need improvement."
"Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities perform better, as Google Cloud SQL takes more time to handle the same tasks."
"The only thing that could be better is the pricing."
"The purging of the data could be better."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."
"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."
"I would like to see better integration with all the different tools on the platform."
"The solution can be improved by reducing the cost so more users can be added."
"We need improvement in the latency between availability zones. The managed SQL MI does not allow us to control the zone it runs in, which affects latency."
"This solution would be improved with the inclusion of better self-service tools."
"Its automation can be improved. SQL Server Agent was a very big part of the on-prem tools. While moving from on-prem to the cloud, redoing some of such tools was very cumbersome in Azure. There was a whole new set of technologies and methodologies. It should have easier automation-type features to be able to implement such tools. It should have almost a SQL agent type of substance built into that."
"SQL Azure could improve by adding more features."
"We've noticed an unexpected increase in the cost of running the server over the past few months."
"The management is entirely controlled by Microsoft, so there are some restrictions."
"Its price could be better. It is expensive. I am not sure if Microsoft Master Data Services is included in this. If not, Master Data Services can be integrated with Azure SQL. I have only used Master Data Services on-premises."
 

Pricing and Cost Advice

"The solution is affordable."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"It is not expensive, especially considering the significant reduction in database management time."
"The pricing is very much an important factor as to why we use this solution."
"You need to pay extra costs for backup and replication."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"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 requires a license. As compared to its competitors, such as Oracle, it is affordable and reasonable."
"You can use it for smaller instances and pay less. You can also go for the premium product with all the security, scalability, and business continuity features, but you have to pay a premium amount."
"It is reasonable."
"It is expensive for us. We are looking for something less expensive and thinking of migrating the whole system."
"We have the licensing fee, and we are also paying a third party to maintain it with an SLA. There is no infrastructure cost, but its running costs are higher than expected. There is the cost of the Azure cloud, which is pricier than expected, but it is not specific to SQL Azure. It is specific to the cloud. You expect it to be cheaper, but it is more expensive to run it."
"There is no licensing cost for the solution."
"The solution is more cost-effective than Google BigQuery. Compared to Google BigQuery, downloading data can be more expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
10%
University
9%
Educational Organization
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 Business60
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.
884,266 professionals have used our research since 2012.