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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) Market Share Distribution
ProductMarket Share (%)
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."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."
"It supports different databases, like Postgres and MySQL."
"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."
"The most valuable feature for us is the Postgres on Google Cloud SQL since it supports most of the features we need."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"The setup was straightforward. Just a couple of clicks, and we were done."
"Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."
"What is really helpful about the Azure SQL is that when we have a problem with our sound queries, we can trade information about what indexes we should create on tables. It's really helpful for me and also for developers."
"The best thing about the solution is that it is tightly integrated with Azure Functions and Azure App Service, making it easy to deploy to the cloud."
"The interface is awesome."
"The product is quite stable. The performance is great and it's reliable."
"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 is integrated into other Azure capabilities and has a great foundation being on SQL Server with a long history of security, performance, and usability from a DBA perspective."
"Since SQL Azure is a stable solution, you do not need to spend time to maintain it."
"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."
 

Cons

"I would like to see better integration with all the different tools on the platform."
"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."
"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."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"The product's user interface could be more user-friendly to improve the overall user experience."
"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 only thing that could be better is the pricing."
"In the case of Google, they need to work on a more easy interface for users."
"The managed SQL MI does not allow us to control the zone it runs in, which affects latency."
"One area for improvement is setting up logs, especially for servers like VM SQL. It was also tricky to connect services on VNets to on-premise."
"Improvement could be made in the performance tools, offering a better overview of core issues like process activity and latency, as we currently rely on third-party tools and SQL jobs for monitoring and alerts."
"The user interface (UI) could be more flexible."
"The solution is somewhat user-friendly, but it's limited by the lack of full backward compatibility."
"Microsoft Azure SQL Database could improve by having better tooling in terms of connecting to other database platforms and better capabilities around programmable interfaces."
"The solution requires familiarity with its language so can be tricky."
"I think Microsoft Azure SQL Database should be cheaper. The license is expensive, but not always; it depends on the case regarding pricing and licensing."
 

Pricing and Cost Advice

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"You need to pay extra costs for backup and replication."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"The solution is affordable."
"The pricing is very much an important factor as to why we use this solution."
"It is not expensive, especially considering the significant reduction in database management time."
"With one being expensive and five being competitive, I would give the product a four out of five as it's relatively competitive. It is also important to note that pricing is based on usage."
"When looking at the long-term expenses associated with running software on an on-premises server, the costs are almost equivalent but when we include insurance for devices, onsite fees for servers, and other related costs, we may find that this is a cost-effective solution."
"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."
"I have an annual spend number, and it is in the hundred thousand dollar range. There are no additional costs to the standard licensing fees. Even though you have to look at the cost numbers of what you're going to be charged on a monthly basis, what you have to also remember is that your application may need a lot of rewriting and things like that. You get charged not just for the monthly costs but also for the transactions that occur. If your access to the data layer is not so efficient, your costs will go up because you're pulling far more data than you potentially need. These are hidden costs that nobody ever considers. If your application is not written very efficiently, you may actually increase your costs over on-prem versus cloud."
"The license is based on the number of users."
"It is expensive for us. We are looking for something less expensive and thinking of migrating the whole system."
"I am not aware of the exact pricing, but our monthly bill for Azure is around 80,000. It is less expensive than using SQL Server. It has the pay-as-you-go model, and the charges are based on the usage."
"The pricing is actually complicated, and that is probably one downside of it. In some respects, although we can plan for the costs on a month-by-month basis, we are finding it hard to project our costings for it. Fundamentally, Microsoft is offering two pricing models, and it is challenging to understand the differences between the two. We're basically on the DTU model at the moment. That may change in the future as the size grows, but it is one of those things that we'll end up monitoring as we progress. At the moment, to get a reasonable response, generally, the price is a little high for us, but it is one of those things for which we know that we can do improvements on our code. So, it is not just the service that's the problem; it is some of the things that we need to do as well."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
10%
Educational Organization
9%
University
8%
Financial Services Firm
12%
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 do you like most about Google Cloud SQL?
The implementation part of the product was easy.
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 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.
883,026 professionals have used our research since 2012.