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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."
"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."
"The solution is stable and reliable."
"We've cut costs by around 70 percent."
"It's easy to use in terms of their portal, which is very nicely organized."
"The initial setup is very easy. It's extremely straightforward."
"What is really helpful about the Azure SQL is that when we have a problem with our sound queries, we can trade information about what indexes we should create on tables. It's really helpful for me and also for developers."
"The stability is good and the performance is fantastic, and even when we try to do an inquiry into issues we can do it easily."
"Cost savings are the most valuable. The DR/high availability is also valuable. The failover group with the built-in DR/high availability features is probably one of the easiest things."
"The solution is very easy to use, quite user-friendly, the product is stable, the performance is great and it's reliable, and it's very good as an on-premises deployment."
"SQL Azure can integrate well with other Microsoft Windows services."
 

Cons

"The cost can be a bit high."
"The tool lacks to offer AI features."
"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."
"I want to improve the deployment of cameras and surveillance infrastructure."
"Lacking in technical documentation."
"The initial setup was very complex."
"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."
"The price is very high, especially when you compare it to other solutions."
"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."
"I do not like customer service from Microsoft; it is very bad. Their response is very poor; it takes too much time to reach the right engineer who can actually solve issues, and the internal process is too long."
"Lack of flexibility for developers in terms of performance assistance."
"Microsoft Azure SQL Database could improve by providing more support for Availability Groups within Managed Instance."
 

Pricing and Cost Advice

"The solution is expensive."
"Price-wise, I heard that Google Cloud Spanner is on the higher side."
"It is expensive."
"Google Cloud Spanner is an expensive solution."
"Its price can definitely be lower. It is pretty pricey."
"I am not aware of the exact pricing, but our monthly bill for Azure is around 80,000. It is less expensive than using SQL Server. It has the pay-as-you-go model, and the charges are based on the usage."
"We have had some issues with the licensing of the solution."
"If we use a smaller or free-sized Microsoft Azure SQL Database, it is extremely cost-effective and much cheaper than on-premise enterprise licenses, which are expensive."
"I'm not sure what the exact price is, but it's a moderate amount. It's not too expensive."
"Offers options for paying the license on a yearly or a monthly basis."
"It only has a subscription-based license."
"It is quite expensive. I would definitely recommend not using the pay-as-you-go model because this will just mean all your money will go to Microsoft. So, really make sure to control resource usage as much as possible."
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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
18%
Financial Services Firm
11%
Manufacturing Company
8%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business65
Midsize Enterprise17
Large Enterprise67
 

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.
921,028 professionals have used our research since 2012.