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Google Cloud SQL vs Microsoft Azure SQL Database comparison

Google and Microsoft are both solutions in the Database as a Service (DBaaS) category. Google is ranked #6 with an average rating of 7.9, while Microsoft is ranked #1 with an average rating of 8.5. Google holds a 7.6% mindshare in DS, compared to Microsoft’s 10.5% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 96% of Microsoft users who would recommend it.
Google Cloud SQL
Read 24 Google Cloud SQL reviews
  • 2,280 Views
  • 2,189 Comparison Views
100% willing to recommend
Microsoft Azure SQL Database
Read 134 Microsoft Azure SQL Database reviews
  • 4,459 Views
  • 4,370 Comparison Views
96% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

Microsoft Azure SQL Database and Google Cloud SQL compete in the cloud database solutions category. Microsoft Azure SQL Database holds an advantage due to its extensive integration capabilities and a wide array of cloud features designed to integrate smoothly with Microsoft tools.

Features: Microsoft Azure SQL Database offers memory-optimized tables, high elasticity, and a subscription-based pricing model. It provides robust integration with Microsoft tools, making it suitable for users already invested in the MS ecosystem. Google Cloud SQL focuses on ease of use, automatic scaling, and high availability, supporting various databases, which makes it versatile for different database needs.

Room for Improvement: Microsoft Azure SQL Database users seek better security measures, a simplified pricing structure, and more comprehensive documentation and support. They also desire improved management and monitoring tools and greater integration with open-source technologies. Google Cloud SQL could enhance its tool integration, offer more user-friendly features, and improve its documentation. Users also call for better security provisions for data protection.

Ease of Deployment and Customer Service: Microsoft Azure SQL Database offers versatile deployment options, supporting Public, Private, and Hybrid Clouds. However, its customer service is sometimes considered slow and hard to reach. Google Cloud SQL is praised for its straightforward deployment in Public and Hybrid Clouds, and its customer service is generally regarded positively, though quicker response times for serious issues are desirable.

Pricing and ROI: Microsoft Azure SQL Database is seen as expensive, with users highlighting the complexity of its usage-based pricing model. Despite this, they report significant ROI due to infrastructure cost reductions. Google Cloud SQL offers an economical price point, cheaper than some competitors like AWS, but can become costly for high-demand operations. Its straightforward pricing model helps lower operational costs, making it cost-effective for initial deployments.

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To learn more, read our detailed Google Cloud SQL vs. Microsoft Azure SQL Database Report (Updated: March 2026).
Buyer's Guide
Google Cloud SQL vs. Microsoft Azure SQL Database
March 2026
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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
6.2
Number of Reviews
24
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 April 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

RR
Rituraj NSIT
Sde 2 at a educational organization with 501-1,000 employees
Drag and drop workflows have simplified data mapping and currently improve my cloud database work
The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.
Read full review
Thomas Sawyer - PeerSpot reviewer
Thomas Sawyer
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.
Read full review

Quotes from Members

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

Pros

"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"The main benefit to our organization is the fact that we no longer need DB admins that take care of the physical servers, backups etc... All this is managed by GCP."
"The setup was straightforward. Just a couple of clicks, and we were done."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"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 without a lot of infrastructure changes, so I can run a release model experiment on a thousand people and, if that experiment is a success, run it on a million people without any changes while keeping it much more cost-sensitive for me to do it."
"It runs really well, it's cheap, it's efficient, it's user-friendly."
"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."
"The solution is easy to use. I am impressed with the tool's features and functionality."
More Google Cloud SQL pros
"It's a good cloud solution, very easy to use on any platform and works well."
"Our migration to Azure for most databases has increased our organization's efficiency and reduced the maintenance required to manage on-premises infrastructure."
"If anybody is using Azure Cloud, they should definitely use Azure SQL."
"The features of Microsoft Azure SQL Database that I find most valuable are the ability to scale it up and down dynamically with customer load, which is necessary because during the day or business hours when there's more load, we need to scale it up and scale it back down at night for cost efficiency."
"The solution is very stable."
"Provisioning the instance, connecting to it, and deploying full-stack applications end-to-end on Azure is much easier than AWS."
"I would recommend SQL Azure."
"I am delighted to use this solution."
More Microsoft Azure SQL Database pros
 

Cons

"The customer support should be improved."
"The overall documentation and the connectors need improvement."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."
"I would like to see better integration with all the different tools on the platform."
"For write operations – yes, as there is no MySQL clustering mode."
"The monitoring part could be better."
"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."
"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."
More Google Cloud SQL cons
"This solution would be improved with the inclusion of better self-service tools."
"The initial setup was very complex."
"The initial setup was very complex."
"The user interface (UI) could be more flexible."
"Microsoft Azure SQL Database could be improved by offering an easier way to view all existing roles in the database without needing complex queries found online."
"I would like to see integration with Snowflake."
"The way it has been designed, in the on-premises deployments, the underlying Windows OS is highly scalable but has a very large resource requirement. A lot of power-related and memory-related things are there, which I have not seen in the RHEL and Oracle. I have not tried SQL on RHEL EXEC. On Windows, infrastructure-wise, a very large workload is running on the SQL. This issue is related to Windows, not SQL."
"Azure SQL had a bit of a learning curve to start, but it was fairly simple once I understood how to develop it."
More Microsoft Azure SQL Database cons
 

Pricing and Cost Advice

"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 is not expensive, especially considering the significant reduction in database management time."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"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."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"We have had some issues with the licensing of the solution."
"I find that they are relatively expensive, especially when compared to AWS, where the prices are notably lower."
"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."
"SQL Azure's licensing cost is expensive."
"Compared to other providers, the pricing is definitely on the affordable side."
"I would like it to be cheaper, but comparatively, it is reasonably priced."
"I recommend considering a pay-as-you-go pricing model initially."
"The price could be slightly cheaper."
More Microsoft Azure SQL Database pricing and cost advice
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
10%
University
8%
Educational Organization
7%
Financial Services Firm
11%
Marketing Services Firm
8%
Computer Software Company
7%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise10
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.
See all answers
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...
See all answers
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.
See all answers
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.
See all answers
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...
See all answers
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 ...
See all answers
 

Comparisons

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Amazon RDS vs Google Cloud SQL
Compared 21% of the time
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MongoDB Atlas vs Google Cloud SQL
Compared 15% of the time
Oracle Database as a Service vs Google Cloud SQL Logo
Oracle Database as a Service vs Google Cloud SQL
Compared 5% of the time
Oracle Exadata Cloud at Customer vs Google Cloud SQL Logo
Oracle Exadata Cloud at Customer vs Google Cloud SQL
Compared 5% of the time
Google Cloud Spanner vs Google Cloud SQL Logo
Google Cloud Spanner vs Google Cloud SQL
Compared 5% of the time
More Google Cloud SQL Competitors
Amazon RDS vs Microsoft Azure SQL Database Logo
Amazon RDS vs Microsoft Azure SQL Database
Compared 14% of the time
Azure Database for PostgreSQL vs Microsoft Azure SQL Database Logo
Azure Database for PostgreSQL vs Microsoft Azure SQL Database
Compared 11% of the time
MongoDB Atlas vs Microsoft Azure SQL Database Logo
MongoDB Atlas vs Microsoft Azure SQL Database
Compared 11% of the time
Microsoft Azure Cosmos DB vs Microsoft Azure SQL Database Logo
Microsoft Azure Cosmos DB vs Microsoft Azure SQL Database
Compared 7% of the time
Google Cloud Spanner vs Microsoft Azure SQL Database Logo
Google Cloud Spanner vs Microsoft Azure SQL Database
Compared 5% of the time
More Microsoft Azure SQL Database Competitors
 

Product Reports

Buyer's Guide
Google Cloud SQL
March 2026
Google Cloud SQL reportDownload Google Cloud SQL product report
Buyer's Guide
Microsoft Azure SQL Database
March 2026
Microsoft Azure SQL Database reportDownload Microsoft Azure SQL Database product report
 

Overview

Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.

Google

Microsoft Azure SQL Database is a relational database-as-a-service that delivers predictable performance, scalability, business continuity, data protection, and near-zero administration to cloud developers and solution architects. This is the deep technical library for Azure SQL Database.

Microsoft
 

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
Buyer's Guide
Google Cloud SQL vs. Microsoft Azure SQL Database
March 2026
Free Report: Google Cloud SQL vs. Microsoft Azure SQL Database
Find out what your peers are saying about Google Cloud SQL vs. Microsoft Azure SQL Database and other solutions. Updated: March 2026.
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