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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 February 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 7.8%, down from 16.5% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 10.7%, down from 16.2% 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 Database10.7%
Google Cloud SQL7.8%
Other81.5%
Database as a Service (DBaaS)
 

Featured Reviews

VD
Database Engineer at Springer Nature
Migration to cloud eases management but needs better support for high I/O operations
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. There is also difficulty in changing the time zone after the database is set up. Moreover, some features available in MSSQL on-prem are missing on Google Cloud SQL, affecting migration potential.
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 implementation part of the product was easy."
"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."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."
"It supports different databases, like Postgres and MySQL."
"It directly provides robust data safety. It also offers various other storage options, such as Google Cloud Storage. These services ensure data security and redundancy. Furthermore, it includes different storage classes, allowing flexible data management tailored to specific needs."
"Ease of management and the ability to oversee the statistics of your SQL."
"We've saved time setting up the databases. While I'm not involved in the maintenance, I'm sure that's also a big factor. It's hosted in the cloud, so we don't have to maintain the servers."
"The stability is excellent because it is easier for us to connect to the cloud rather than connecting to MSSP."
"It is good for scalability and high availability. It is also secure because of Microsoft's cloud investment. It is easy to use because it is on the cloud. Creation or making it available through web services is super easy. Azure SQL can be quickly published as web services for APIs to connect with other applications. Because it is in Microsoft Cloud, you can easily integrate with Microsoft stack."
"The initial setup was straightforward. Deployment takes about one hour."
"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."
"We have come from hosting on-premise for customers, or they've done it themselves with SQL. We've now taken a cloud offering for the equivalent services of standard database management and the inbuilt backup and restore offerings. The scalability is probably the biggest feature that we are benefiting from by being in the cloud."
"The solution has become easier to use over time and it's also reasonably priced."
"Our productivity is the same as that of on-prem SQL."
 

Cons

"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"In the case of Google, they need to work on a more easy interface for users."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"They could improve documentation and dashboard stability for efficient user experience and database management."
"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."
"It is hard to do logging with the solution."
"I would like to see better integration with all the different tools on the platform."
"Price definitely will be the negative point. It is quite expensive."
"The solution requires familiarity with its language so can be tricky."
"I am very happy with Microsoft Azure SQL Database; I don't think there's anything in particular I would change, except to make it cheaper."
"It does take some time to learn about the environment."
"Lack of flexibility for developers in terms of performance assistance."
"What would make SQL Azure better is users having the capability of managing the database solution from the cloud, instead of having to do it from an actual machine because currently, database management via SQL Azure is done on a virtual machine or a PC. The solution should have the data functionality of managing SQL databases inside the cloud."
"Microsoft Azure SQL Database could improve by providing more support for Availability Groups within Managed Instance."
"I need something which is in one place so I can automate the Azure data factory, but it's a different tool. It's not easy and in one place, so I can't switch to the other tool and do something there, automate everything there in the on-prem infrastructure, and then have everything in the agent. I can just pick one packet and use it. However, I want to be able to click it and run it."
 

Pricing and Cost Advice

"The solution is affordable."
"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."
"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."
"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."
"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."
"Microsoft services are costly, which is the only problem we face. So, pricing is an area of improvement."
"It only has a subscription-based license."
"The solution is more cost-effective than Google BigQuery. Compared to Google BigQuery, downloading data can be more expensive."
"The price of the solution is reasonable."
"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."
"It requires a license. As compared to its competitors, such as Oracle, it is affordable and reasonable."
"We pay less than $1000 monthly in licensing fees. There are no additional costs."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
11%
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: February 2026.
882,606 professionals have used our research since 2012.