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Google Cloud Spanner vs Microsoft Azure SQL Database comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Aug 12, 2024

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 Spanner
Ranking in Database as a Service (DBaaS)
8th
Average Rating
9.2
Reviews Sentiment
7.8
Number of Reviews
5
Ranking in other categories
No ranking in other categories
Microsoft Azure SQL Database
Ranking in Database as a Service (DBaaS)
1st
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
138
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 7.2%, up from 5.1% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 9.1%, down from 13.0% 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 Database9.1%
Google Cloud Spanner7.2%
Other83.7%
Database as a Service (DBaaS)
 

Featured Reviews

Ethan Lo - PeerSpot reviewer
Infrastructuer Security at Premise Data
A stable and scalable relational database that ensures a return on investment for its users
The most valuable feature of the solution is its scalability. Scalability comes with two options, among which Google Cloud Spanner can scale horizontally, compared to other relational databases that scale vertically. You can change Google Cloud Spanner's resource configuration, which is done through processing units. Suppose you set up Google Cloud Spanner initially with a hundred processing units, and then you run out of resources since your database used too much CPU. In the aforementioned scenario, you can scale up or down and face no downtime in the production phase. The solution's features are important when running a company twenty-four hours, seven days a week.
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 most valuable feature of the solution is its scalability. Scalability comes with two options, among which Google Cloud Spanner can scale horizontally, compared to other relational databases that scale vertically."
"The solution is stable and reliable."
"It is a very scalable solution."
"We can scale the solution if we need to."
"Google Cloud Spanner is stable."
"The application deployment in the cloud is the best feature of the infrastructure."
"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."
"Microsoft Azure SQL Database's ability to segregate read-write operations helps me manage my application and workloads effectively."
"It is quick to set up and easy to scale."
"Azure SQL connects directly to our Power Platform apps, making it easy to use."
"They have good documentation. It's concentrated information."
"The solution effectively handles storing and maintaining information in databases."
"It has a lot of out-of-the-box features, which is useful, and it helps us deploy new applications very quickly."
"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."
 

Cons

"The tool lacks to offer AI features."
"I want to improve the deployment of cameras and surveillance infrastructure."
"The tool needs to improve horizontal scaling."
"Google came up with something called Cloud Spanner Emulator, which fails to work like the real product if I want to develop some code and run a database locally on my machine."
"The cost can be a bit high."
"It's a little bit limited in terms of functionality."
"We've noticed an unexpected increase in the cost of running the server over the past few months."
"Integration needs to be improved for this solution."
"It can have more dashboards for monitoring, which would naturally help a lot. Other than that, everything is okay."
"Sometimes, we encounter limitations due to our use of a government cloud environment, which differs from commercial cloud platforms."
"One area for improvement could be expanding the search queries using vectors or AI inside the database. After seeing its potential in a workshop, I realized the usefulness of more advanced search queries with AI."
"The only problem we have with Azure is regarding the price."
"I haven't explored SQL Azure's features much, but I would like to see some better integration with Python."
 

Pricing and Cost Advice

"It is expensive."
"Google Cloud Spanner is an expensive solution."
"Price-wise, I heard that Google Cloud Spanner is on the higher side."
"The solution is expensive."
"SQL Azure's licensing cost is expensive."
"We have had some issues with the licensing of the solution."
"Compared to other providers, the pricing is definitely on the affordable side."
"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."
"It is reasonable."
"There is a license required to use the solution and it cost $30 to do the installation."
"The pricing is flexible and can be adapted based on our requirements but the pricing options are complex especially if we are using a VM."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Healthcare Company
9%
Manufacturing Company
9%
Computer Software Company
7%
Outsourcing Company
19%
Financial Services Firm
12%
Construction Company
9%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business62
Midsize Enterprise17
Large Enterprise65
 

Questions from the Community

What is your primary use case for Google Cloud Spanner?
Google Cloud Spanner has all the features of a traditional relational database, including schemas, SQL queries, ACID transactions, and provides excellent integration and monitoring tools as well as...
What is your experience regarding pricing and costs for SQL Azure?
I am not involved in the pricing part of Microsoft Azure SQL Database, so I have not heard anything.
What needs improvement with SQL Azure?
I have not worked much on Microsoft Azure SQL Database's ability to power next-generation AI applications. I cannot suggest anything about improvements in Microsoft Azure SQL Database because I am ...
What is your primary use case for SQL Azure?
I find the data migration part for Microsoft Azure SQL Database very good for connecting one database to another database. For the integration with other Microsoft applications, we are using SQL Se...
 

Also Known As

Google Spanner
No data available
 

Overview

 

Sample Customers

Streak, Optiva, Mixpanel
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 Spanner vs. Microsoft Azure SQL Database and other solutions. Updated: September 2026.
913,806 professionals have used our research since 2012.