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Google Cloud Spanner vs Microsoft Azure SQL Database comparison

 

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
134
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 7.3%, up from 5.1% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 9.2%, down from 14.7% 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 Database9.2%
Google Cloud Spanner7.3%
Other83.5%
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

"We can scale the solution if we need to."
"The application deployment in the cloud is the best feature of the infrastructure."
"The solution is stable and reliable."
"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."
"It is a very scalable solution."
"Google Cloud Spanner is stable."
"The database has since become more stable, and I have less troubleshooting, which saves time and money."
"The most valuable aspects of this solution are the integration with the darknet stack especially Microsoft, table groups, supports major capability requirements, and SQL always-on feature."
"The feature I like the most about Microsoft Azure SQL Database is the scaling part."
"Valuable features of Microsoft Azure SQL Database include its quick deployment capabilities, the ability to spin up an environment easily, and seamless integration with Microsoft products."
"The most valuable feature of SQL Azure is the user-friendly VMs."
"That's why Microsoft has delivered their dream cloud promise with the zero cost alternative of community edition."
"The product's initial setup phase is very easy."
"I am very happy with this solution; right now, I don't think there is anything I would change."
 

Cons

"The tool needs to improve horizontal scaling."
"I want to improve the deployment of cameras and surveillance infrastructure."
"The tool lacks to offer AI features."
"The cost can be a bit high."
"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."
"Scalability Cost efficiency Business continuity"
"Some data types are not available on SQL Azure while it's available on SQL Server."
"Microsoft Azure SQL Database is not cheap."
"The Microsoft Azure SQL Database is not the latest version of Microsoft SQL Server; it's a really old engine that does not have the newest features, is very slow, and too expensive, so I really don't think it's a good solution for most cases, except when you specifically need to put your data on the cloud."
"Service Broker should be added in Azure Cloud. Service Broker is currently available only in the on-premises version."
"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."
"I'm disappointed that it is not in the simple plan and I have to buy a higher plan."
"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."
 

Pricing and Cost Advice

"The solution is expensive."
"Google Cloud Spanner is an expensive solution."
"It is expensive."
"Price-wise, I heard that Google Cloud Spanner is on the higher side."
"Microsoft services are costly, which is the only problem we face. So, pricing is an area of improvement."
"Its price can definitely be lower. It is pretty pricey."
"Offers options for paying the license on a yearly or a monthly basis."
"We have a three-year contract. The cost was somewhere around $70-80,000 for the original deployment, which was about two years ago"
"I believe the licensing is more on a global scale."
"I find that they are relatively expensive, especially when compared to AWS, where the prices are notably lower."
"It is beneficial in terms of cost because you are charged per data unit instead of licensing."
"There is no licensing cost for the solution."
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908,877 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
26%
Healthcare Company
9%
Computer Software Company
8%
Manufacturing Company
8%
Financial Services Firm
13%
Outsourcing Company
12%
Construction Company
10%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business60
Midsize Enterprise17
Large Enterprise61
 

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 Google Cloud Spanner?
Price-wise, I heard that Google Cloud Spanner is on the higher side. I am not sure if this is a rumor or if it's fake news, but I believe that having BigQuery and GCP together could be a little cos...
What needs improvement with Google Cloud Spanner?
The tool lacks to offer AI features. In the future, I would like the product to offer AI features to users. Nowadays, we are creating small acronyms for our SQL Server. We put some templates. If I ...
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 ...
What is your primary use case for SQL Azure?
My main use cases for Microsoft Azure SQL Database are third-party applications.
 

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: August 2026.
908,877 professionals have used our research since 2012.