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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 October 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 7.3%, up from 5.5% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 9.2%, 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 Database9.2%
Google Cloud Spanner7.3%
Other83.5%
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

"The solution is stable and reliable."
"We can scale the solution if we need to."
"The application deployment in the cloud is the best feature of the infrastructure."
"It is a very scalable solution."
"Google Cloud Spanner is stable."
"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 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."
"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."
"Since SQL Azure is a stable solution, you do not need to spend time to maintain it."
"The environment is user friendly and there is good flexibility for adding modules or features."
"What I found most valuable in Azure SQL are the functions related to Active Directory and the database services."
"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."
"The management and the remote access in SQL Azure are seamless."
"The product is quite stable. The performance is great and it's reliable."
 

Cons

"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 tool lacks to offer AI features."
"The cost can be a bit high."
"I would like to the solutions scalability to be improved."
"Its price could be better. It is expensive."
"Microsoft Azure SQL Database is not cheap."
"The solution requires familiarity with its language so can be tricky."
"Microsoft Azure SQL Database could improve by having better tooling in terms of connecting to other database platforms and better capabilities around programmable interfaces. There should be more fine-tuning on the storage layer. I would like to see T-SQL improvements to automatically translate features from other database platforms for easier migration, as well as some improvements around column store and native capabilities like those in Iceberg and PowerK built into the SQL Server product."
"Lack of flexibility for developers in terms of performance assistance."
"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."
"The solution can be improved by reducing the constraints available."
 

Pricing and Cost Advice

"It is expensive."
"The solution is expensive."
"Google Cloud Spanner is an expensive solution."
"Price-wise, I heard that Google Cloud Spanner is on the higher side."
"You can use it for smaller instances and pay less. You can also go for the premium product with all the security, scalability, and business continuity features, but you have to pay a premium amount."
"SQL Azure's licensing cost is expensive."
"When you go with SQL Azure Database, you can create a small database, which is around $4 to $5 per month for development purposes."
"SQL Azure is an expensive solution."
"I believe the licensing is more on a global scale."
"We have the licensing fee, and we are also paying a third party to maintain it with an SLA. There is no infrastructure cost, but its running costs are higher than expected. There is the cost of the Azure cloud, which is pricier than expected, but it is not specific to SQL Azure. It is specific to the cloud. You expect it to be cheaper, but it is more expensive to run it."
"The price in general of Azure SQL could improve."
"It is reasonable."
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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
8%
 

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?
For pricing, it is a good benefit. You can decrease the price by approximately 25% or 30% maximum. It is a good opportunity for us. Software Assurance and Azure Hybrid Benefit is a good opportunity...
What needs improvement with SQL Azure?
This question is complicated. Some developers know the SQL language, but they are not database managers. They can develop with some queries, which is acceptable for us, but management of SQL engine...
What is your primary use case for SQL Azure?
We work in Azure on our applications. We work with SQL, Cosmos DB, PostgreSQL, and we work with some services: AKS, Kubernetes services, managed Kubernetes, which we use in our applications. We use...
 

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.
915,383 professionals have used our research since 2012.