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 7.8, while Microsoft is ranked #1 with an average rating of 8.5. Google holds a 8.5% mindshare in DS, compared to Microsoft’s 11.3% 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 23 Google Cloud SQL reviews

1,988 Views
1,968 Comparison Views

100% willing to recommend

Microsoft Azure SQL Database

Read 134 Microsoft Azure SQL Database reviews

3,559 Views
3,488 Comparison Views

96% willing to recommend

Google Cloud SQL

Microsoft Azure SQL Database

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Nov 2, 2025

Microsoft Azure SQL Database and Google Cloud SQL compete in the SQL database solutions category. Microsoft Azure SQL Database holds the upper hand due to its extensive enterprise-focused features and integration capabilities.

Features: Microsoft Azure SQL Database provides high availability, scalability, and a variety of integration options. It is recognized for its robust documentation and security investments. Google Cloud SQL is known for its ease of management, scalability, and seamless integration with GCP services.

Room for Improvement: Microsoft Azure SQL Database could improve automation, security, and bring more features to align with on-premises SQL. Google Cloud SQL users wish for better documentation, easier integrations, and more cost-effective solutions, especially with BigQuery.

Ease of Deployment and Customer Service: Microsoft Azure SQL Database offers flexible deployment options across public, private, and hybrid clouds, with varying support experiences. Google Cloud SQL emphasizes simple public cloud deployment but could enhance proactive customer service.

Pricing and ROI: Microsoft Azure users face complex licensing structures but benefit from a pay-as-you-go model that can reduce total ownership costs. Google Cloud SQL has a simpler pricing model but can become expensive at scale, though efficient management often offsets these costs.

To learn more, read our detailed Google Cloud SQL vs. Microsoft Azure SQL Database Report (Updated: December 2025).

Buyer's Guide

Google Cloud SQL vs. Microsoft Azure SQL Database

December 2025

Download the complete report

Helped 881,078 peers since 2012

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

Ranking in other categories

Relational Databases Tools (19th), Database Management Systems (DBMS) (6th)

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 January 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 8.5%, down from 16.8% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 11.3%, down from 16.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Market Share Distribution
Product	Market Share (%)
Microsoft Azure SQL Database	11.3%
Google Cloud SQL	8.5%
Other	80.2%

Database as a Service (DBaaS)

Featured Reviews

Victor Danso

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.

Read full review

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

"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."

"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."

"It supports different databases, like Postgres and MySQL."

"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."

"This is a stable solution and offers good performance."

"My suggestion to anyone thinking about this solution is to jump into it head-first!"

"Ease of management and the ability to oversee the statistics of your SQL."

"The most valuable features are that it's easy to use, simple, and user-friendly."

More Google Cloud SQL pros

"The tool set is familiar since I've used SQL Server on-premises for quite a few years."

"In terms of stability, because Microsoft is the underlying technology, they are much more stable than say Oracle. Since 2014 they did a great job in offering stability, performance and high visibility on the solution, especially in comparison to the other competitors."

"Emergency mode is quite useful."

"The integration with Azure Data Factory is seamless and straightforward, described as just a click away."

"Since SQL Azure is a stable solution, you do not need to spend time to maintain it."

"The most valuable features of SQL Azure are its reliability and quick scalability."

"Using Azure Active Directory is a great feature for securing our connectivity for any clients or users connecting to our data."

"Their technical support is the most valuable."

More Microsoft Azure SQL Database pros

Cons

"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."

"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."

"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'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."

"In the case of Google, they need to work on a more easy interface for users."

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."

"The product's user interface could be more user-friendly to improve the overall user experience."

More Google Cloud SQL cons

"There could be more collaboration with other tools like Data Factory and Databricks."

"The solution can be improved by reducing the cost so more users can be added."

"It does take some time to learn about the environment."

"My only concern regarding the pricing, setup cost, and licensing of Microsoft Azure SQL Database is that we have a large database size but limited compute requirements, which has forced us to move towards a higher core just to meet our database sizing requirements."

"One area for improvement is data virtualization. Companies use different data sources, creating a separate data virtualization layer, and there are more data sources behind that layer. For example, we have different data layers for Excel, SQL Server, PostgreSQL, etc. Creating a data virtualization layer would help because you retain the metadata of your source data."

"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."

"They should also simplify the security in Azure. We are using the cloud as a platform, so there is no physical infrastructure. We're using Azure components like databases and servers to create an application. Integrating those components in terms of permissions and security is challenging for us. Maybe there is a lack of knowledge on our side, but it's not straightforward."

"The solution could improve by supporting more operating systems."

More Microsoft Azure SQL Database cons

Pricing and Cost Advice

"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 not expensive, especially considering the significant reduction in database management time."

"You need to pay extra costs for backup and replication."

"The solution is affordable."

"From a financial perspective, Google Cloud SQL is on the cheaper side."

"The pricing is very much an important factor as to why we use this solution."

"I believe the licensing is more on a global scale."

"The solution is moderately expensive."

"The price could be slightly cheaper."

"From a licensing benefit standpoint, we have clients who are coming with their own SQL licensing with Software Assurance, and they are able to use those licenses for their Azure SQL and reduce costs."

"I recommend considering a pay-as-you-go pricing model initially."

"Microsoft Azure SQL Database is not cheap."

"Its price can definitely be lower. It is pretty pricey."

"The price in general of Azure SQL could improve."

More Microsoft Azure SQL Database pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Database as a Service (DBaaS) solutions are best for your needs.

See recommendations

881,078 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

11%

Educational Organization

University

Financial Services Firm

14%

Computer Software Company

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	59
Midsize Enterprise	17
Large Enterprise	61

Questions from the Community

What do you like most about Google Cloud SQL?

The implementation part of the product was easy.

See all answers

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 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

Amazon RDS vs Google Cloud SQL

Compared 27% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 15% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 6% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 4% of the time

Oracle Exadata Cloud at Customer vs Google Cloud SQL

Compared 4% of the time

More Google Cloud SQL Competitors

Amazon RDS vs Microsoft Azure SQL Database

Compared 16% of the time

MongoDB Atlas vs Microsoft Azure SQL Database

Compared 13% of the time

Azure Database for PostgreSQL vs Microsoft Azure SQL Database

Compared 9% of the time

Microsoft Azure Cosmos DB vs Microsoft Azure SQL Database

Compared 7% of the time

Oracle Database as a Service vs Microsoft Azure SQL Database

Compared 5% of the time

More Microsoft Azure SQL Database Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

January 2026

Download Google Cloud SQL product report

Buyer's Guide

Microsoft Azure SQL Database

January 2026

Download 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

December 2025

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: December 2025.

DOWNLOAD NOW

881,078 professionals have used our research since 2012.

See our Google Cloud SQL vs. Microsoft Azure SQL Database report.

See our list of best Database as a Service (DBaaS) vendors.

We monitor all Database as a Service (DBaaS) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.