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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 June 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 7.5%, up from 4.5% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 9.5%, down from 15.6% 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 Database9.5%
Google Cloud Spanner7.5%
Other83.0%
Database as a Service (DBaaS)
 

Featured Reviews

LJ
System Architect at UST Global España
Offers good performance to users
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 just put your name and stop it, the entire cloud can be explored, but such features are not there in Google Cloud Spanner. As a layman rather than a developer, if I create a tool or a procedure. If I write a procedure and then when you describe a procedure, a dummy procedure will be written for you, and it will be available for you as a template in SQL Server, but such kind features are not there in Google Cloud Spanner.
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."
"Google Cloud Spanner is stable."
"The solution is stable and reliable."
"It is a very scalable solution."
"The application deployment in the cloud is the best feature of the infrastructure."
"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."
"In the case of a heavy load period, you don’t see any difference in terms of performance."
"What I like about SQL Azure is that it's similar to your on-premises SQL databases. It's not much different, so it's easy to start quickly on the solution if you know Microsoft SQL. I find its ease of use most valuable, and I also like that SQL Azure is also easily integrated with the Azure Cloud platform."
"Microsoft Azure SQL Database has helped us tremendously with regards to cost and scaling, and it is just really easy to use and really easy with permissions as well through Entra ID."
"SQL is easy to use and easily integrates with many systems. There aren't many code changes needed when you're using SQL databases. Integrating Azure SQL with other Microsoft applications is instant because they're all Microsoft solutions."
"The compatibility with SQL Server for transitioning legacy systems to Microsoft Azure SQL Database is very important because it gives us assurance that what we experience today, we can get the same performance on the other side."
"We are very happy with what we have, and if you are used to working with SQL Server, SQL Azure is a natural progression."
"I like that Microsoft Azure SQL Database is almost identical to an on-premise SQL Server except for a few things, like how you edit rows and some jobs that you can't run."
"SQL Azure can integrate well with other Microsoft Windows services."
 

Cons

"The tool needs to improve horizontal scaling."
"The tool lacks to offer AI features."
"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."
"I want to improve the deployment of cameras and surveillance infrastructure."
"The solution requires familiarity with its language so can be tricky."
"Some issues with scalability."
"The preset configuration switches we can select on SQL Azure should be made more liberal to work on."
"If the product could support applications requiring an SQL server for installation, by using SQL Azure as a backend, that would be useful."
"The solution can be improved by reducing the cost so more users can be added."
"SQL Azure's performance monitoring features need to be improved."
"The power should increase more between each upgrade."
"Historically, SQL Azure has tended to choke at databases larger than 50GB, and in some cases, as small as 20GB."
 

Pricing and Cost Advice

"Price-wise, I heard that Google Cloud Spanner is on the higher side."
"It is expensive."
"The solution is expensive."
"Google Cloud Spanner is an expensive solution."
"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."
"I believe the licensing is more on a global scale."
"SQL Azure is an expensive solution."
"We have a three-year contract. The cost was somewhere around $70-80,000 for the original deployment, which was about two years ago"
"SQL Azure's licensing cost is expensive."
"It is beneficial in terms of cost because you are charged per data unit instead of licensing."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Healthcare Company
9%
Computer Software Company
8%
Manufacturing Company
7%
Financial Services Firm
14%
Construction Company
10%
Outsourcing Company
8%
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: June 2026.
902,456 professionals have used our research since 2012.