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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."
"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."
"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."
"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."
"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."
"Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."
"Google Cloud SQL is highly scalable."
"The most valuable feature from the infra point of view is you don't have to keep any on-prem infrastructure, it is available all the time whenever you want to access it."
"The database is extremely scalable, allowing seamless scaling up or down with a simple change in parameters."
"Azure SQL Database has significantly reduced our total cost of ownership by eliminating the need for managing physical infrastructure, including data warehouses and data centers."
"It's easy to work with large amounts of data, query it, and bring it back to a visualization tool to show it to the end users."
"Microsoft Azure SQL Database scales well, allowing us to increase our compute level or add more instances as required."
"We like the ease of integrating it with our on-premises environment. We use a hybrid model. We have a SQL Server on-premises, and we have an integration with the cloud version. We do CPU or disk intensive processes on-premises. For accessibility, we offload onto the cloud. When you do a lot of IO and things like that in the cloud, Microsoft charges for the CPU activity."
"SQL Server has helped to significantly reduce the total cost of ownership."
"The scalability and simple management of the infrastructure are the most valuable features."
 

Cons

"The purging of the data could be better."
"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."
"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."
"The overall documentation and the connectors need improvement."
"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."
"Google Cloud SQL needs to improve its support for high-end I/O operations."
"We've noticed an unexpected increase in the cost of running the server over the past few months."
"The solution can be improved by reducing the constraints available."
"A potential area for improvement could be integrating with third-party clouds. Adding a feature to bring Azure SQL in Azure with SQL on-premises would be helpful."
"SQL Azure could improve the feature set. They are catching up to Microsoft SQL Server."
"There is a need for dynamic scaling support without losing current transactions. That should be part of the standard offering to SKUs."
"The preset configuration switches we can select on SQL Azure should be made more liberal to work on."
"The pricing plans when using multiple Microsoft solutions are complex and have room for improvement."
"Their support is nice but their responses aren't effective."
 

Pricing and Cost Advice

"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."
"It is not expensive, especially considering the significant reduction in database management time."
"The solution is affordable."
"The pricing is very much an important factor as to why we use this solution."
"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."
"Microsoft Azure SQL Database is not cheap."
"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 recommend considering a pay-as-you-go pricing model initially."
"I find that they are relatively expensive, especially when compared to AWS, where the prices are notably lower."
"The price could be slightly cheaper."
"SQL Azure's licensing cost is expensive."
"It is expensive. Snowflake and PostgreSQL are cheaper than this. Google is also cheaper than Azure. Its licensing is on a pay-as-you-go basis. It is based on usage and storage."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
10%
University
8%
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 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.
884,266 professionals have used our research since 2012.