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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
6.8
Number of Reviews
140
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 7.3%, up from 5.7% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 9.0%, down from 12.5% 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 Database9.0%
Google Cloud Spanner7.3%
Other83.7%
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.
Matthew Parker - PeerSpot reviewer
Ai Team Lead at Phoenix Software
Integrates with familiar tools and supports reliable data storage for AI applications
Microsoft Azure SQL Database can be improved overall by being able to compete with some of the features that come from things such as PostgreSQL. From my team's perspective in terms of building AI applications, more native integrations with some of the newer AI data types, such as vectors for storing embeddings, would be beneficial. I think all of that is coming. It is just a big product, so I think it is naturally a little bit behind the curve. However, that is not necessarily a bad thing because a lot of customers, because it has been around for so long, they trust it and they are willing to wait until those features become available.

Quotes from Members

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

Pros

"Google Cloud Spanner is stable."
"The solution is stable and reliable."
"It is a very scalable solution."
"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."
"We can scale the solution if we need to."
"The application deployment in the cloud is the best feature of the infrastructure."
"I rate Microsoft Azure SQL Database 10 out of 10."
"Their technical support is the most valuable."
"SQL Azure is good with transactional systems."
"Overall, Azure SQL has been great. The ease of deployment and scalability are significant reasons we push our larger clients to Azure. We could throw the kitchen sink at the thing if we wanted."
"The ability to maintain different environments, such as development and production databases, is valuable."
"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 initial setup is very straightforward; it's not complex at all, and for us, it did not take more than one or two hours, so it was quick to deploy."
"I would recommend SQL Azure."
 

Cons

"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 tool needs to improve horizontal scaling."
"I want to improve the deployment of cameras and surveillance infrastructure."
"The cost can be a bit high."
"We've had many concurrency issues with it, particularly with applications that do a lot of parallel processing. We noticed that sometimes the Azure SQL databases would spike and peak their CPU units, causing some performance issues for us. It would be helpful if CPU performance were not pinned to the amount of storage you're using, and we could scale different properties of the Azure SQL database independently."
"Microsoft Azure SQL Database could improve by providing more support for Availability Groups within Managed Instance."
"Pricing is reasonable for a big enterprise. The price is a little higher. It should have a 20% discount."
"The solution has to scale up its expertise for hosting Oracle."
"There are some limitations for cross-database queries and features."
"Scalability is an issue because we can't upgrade to new versions due to hardware limitations."
"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."
"Azure SQL had a bit of a learning curve to start, but it was fairly simple once I understood how to develop it. I was using PowerShell to connect to it, and I've never connected to online databases through Azure using PowerShell. Scripting the PowerShell connections could be simpler. The coding is familiar, but figuring out how to use it initially can be easier."
 

Pricing and Cost Advice

"It is expensive."
"Price-wise, I heard that Google Cloud Spanner is on the higher side."
"Google Cloud Spanner is an expensive solution."
"The solution is expensive."
"The license is based on the number of users."
"Microsoft Azure SQL Database is not cheap."
"It is expensive for us. We are looking for something less expensive and thinking of migrating the whole system."
"We have a three-year contract. The cost was somewhere around $70-80,000 for the original deployment, which was about two years ago"
"Compared to other providers, the pricing is definitely on the affordable side."
"There is a license required to use the solution and it cost $30 to do the installation."
"I would like it to be cheaper, but comparatively, it is reasonably priced."
"I recommend considering a pay-as-you-go pricing model initially."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Manufacturing Company
9%
Healthcare Company
9%
Comms Service Provider
7%
Outsourcing Company
17%
Financial Services Firm
11%
Manufacturing Company
9%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business64
Midsize Enterprise17
Large Enterprise66
 

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 think Microsoft Azure SQL Database is affordable, not expensive. Regarding migration, I am just keeping a professional service charge for that.
What needs improvement with SQL Azure?
The automatic tuning feature in Microsoft Azure SQL Database impacts database performance sometimes. What happens with Microsoft Azure SQL Database's automatic tuning is that when SQL queries are e...
What is your primary use case for SQL Azure?
I am a system integrator using Microsoft Azure SQL Database for my customers. The major use case for Microsoft Azure SQL Database is that most of my clients have a lot of applications, so they are ...
 

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: November 2026.
920,769 professionals have used our research since 2012.