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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

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."
"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."
"It is a very scalable solution."
"We can scale the solution if we need to."
"It is very fast in replicating the data from one database to another; we do some extractions from multiple databases to a target database that we use for visualization, and it has a good speed."
"It's the type of product that doesn't need much technical support assistance as it works seamlessly."
"The solution is efficient and easy to use."
"The most valuable feature is PolyBase."
"Azure Portal is most valuable."
"I assess the reliability of Microsoft Azure SQL Database in maintaining uptime and availability as very good, and so far, we have not faced any problems or complaints from clients regarding Microsoft SQL or Oracle databases."
"Azure SQL is easy to integrate and simplifies things from a licensing perspective. We're comfortable with SQL versus other types of databases, so we feel better talking to Microsoft."
"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."
 

Cons

"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."
"The tool lacks to offer AI features."
"I want to improve the deployment of cameras and surveillance infrastructure."
"The cost can be a bit high."
"I need Microsoft to allow their network to access open source technologies."
"The document storage is primarily relational, which is not ideally suited for SQL. If there were better integration with SharePoint for document handling in SQL, it would greatly benefit the organization. Moreover, the current on-premise limitations prevent direct file pulling, limiting certain capabilities."
"I am very happy with Microsoft Azure SQL Database; I don't think there's anything in particular I would change, except to make it cheaper."
"Our data warehouse in total is about two terabytes, and the tables we're referring to are around 60 million rows, which are approximately 60 to 70 gigabytes."
"SQL Azure's performance monitoring features need to be improved. It has a pricing calculator, but it would be great if we could get a rough estimate of the pricing based on fewer parameters, like the data size and the scale of the company."
"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."
"They can maybe make it a bit easier to educate people on how to develop SQL Server in Azure."
"The underlying Windows OS is highly scalable but has a very large resource requirement."
 

Pricing and Cost Advice

"Price-wise, I heard that Google Cloud Spanner is on the higher side."
"The solution is expensive."
"Google Cloud Spanner is an expensive solution."
"It is expensive."
"Compared to other providers, the pricing is definitely on the affordable side."
"There is no licensing cost for the solution."
"I would rate the pricing a seven out of ten."
"It is beneficial in terms of cost because you are charged per data unit instead of licensing."
"It only has a subscription-based license."
"We have had some issues with the licensing of the solution."
"I believe the licensing is more on a global scale."
"The price in general of Azure SQL could improve."
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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?
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.
914,394 professionals have used our research since 2012.