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Google Cloud Spanner vs Microsoft Azure SQL Database comparison

Google and Microsoft are both solutions in the Database as a Service (DBaaS) category. Google is ranked #8 with an average rating of 10.0, while Microsoft is ranked #1 with an average rating of 8.5. Google holds a 7.8% mindshare in DS, compared to Microsoft’s 10.5% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 96% of Microsoft users who would recommend it.
Google Cloud Spanner
Read 5 Google Cloud Spanner reviews
  • 1,449 Views
  • 1,377 Comparison Views
100% willing to recommend
Microsoft Azure SQL Database
Read 134 Microsoft Azure SQL Database reviews
  • 4,459 Views
  • 4,370 Comparison Views
96% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 12, 2024

Microsoft Azure SQL Database and Google Cloud Spanner are two prominent cloud database services with distinct functionalities and benefits, each suited to different needs. Users find Spanner superior for its global distribution and consistency.

Features: Microsoft Azure SQL Database is praised for its integrated AI capabilities, disaster recovery options, and strong integration with Microsoft services. Google Cloud Spanner is noted for its strong global scaling, true ACID compliance, and global transactional consistency.

Room for Improvement: Users identify areas for improvement in Azure SQL Database's performance tuning, advanced data analytics features, and documentation. For Google Cloud Spanner, complex query execution, additional native support for various data types, and training resources need enhancements.

Ease of Deployment and Customer Service: Users generally find the deployment process of Microsoft Azure SQL Database straightforward, benefitting from integrated support. Google Cloud Spanner offers robust deployment options but could enhance initial setup ease. Azure receives mixed feedback on customer service responsiveness, while Spanner users value prompt and knowledgeable support.

Pricing and ROI: Microsoft Azure SQL Database offers competitive pricing with flexible options, appealing to those seeking cost-effective solutions. Google Cloud Spanner, meanwhile, is considered expensive but justified by its high performance and scalability. Users experience significant ROI with Azure due to cost savings, while Spanner users justify the higher upfront costs with long-term gains in performance and reliability.

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To learn more, read our detailed Google Cloud Spanner vs. Microsoft Azure SQL Database Report (Updated: March 2026).
Buyer's Guide
Google Cloud Spanner vs. Microsoft Azure SQL Database
March 2026
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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 March 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 7.8%, up from 4.1% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 10.5%, down from 15.9% 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 Database10.5%
Google Cloud Spanner7.8%
Other81.7%
Database as a Service (DBaaS)
 

Featured Reviews

LJ
LijomonJose
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.
Read full review
Thomas Sawyer - PeerSpot reviewer
Thomas Sawyer
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.
Read full review

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."
"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."
"Google Cloud Spanner is stable."
"Coding does not require much effort."
"Azure SQL Database has significantly reduced our total cost of ownership by eliminating the need for managing physical infrastructure, including data warehouses and data centers."
"Its easy usage is the most valuable."
"We're a Microsoft customer, so it fits in with everything else we work with."
"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."
"It has significantly streamlined our disaster recovery plans, making it much more straightforward to spin up new instances as opposed to setting up a new VM with all necessary packages. The normal cost of our VMs with storage has been significantly reduced."
"The solution has become easier to use over time and it's also reasonably priced."
"They have good documentation. It's concentrated information."
More Microsoft Azure SQL Database pros
 

Cons

"The tool needs to improve horizontal scaling."
"The tool lacks to offer AI features."
"The cost can be a bit high."
"I want to improve the deployment of cameras and surveillance infrastructure."
"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."
"Azure SQL had a bit of a learning curve to start, but it was fairly simple once I understood how to develop it."
"The solution is somewhat user-friendly, but it's limited by the lack of full backward compatibility."
"While the cost versus benefit debate continues, Microsoft Azure SQL Database has been cost-driven for a very long time rather than value-driven."
"The solution can be improved by reducing the constraints available."
"We need improvement in the latency between availability zones. The managed SQL MI does not allow us to control the zone it runs in, which affects latency."
"The benefits I have realized from using Microsoft Azure SQL Database are currently limited since we've only done it in test and dev environments right now, and we haven't moved to production, so we haven't realized the full gain just yet."
"The initial setup is complex."
"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."
More Microsoft Azure SQL Database cons
 

Pricing and Cost Advice

"It is expensive."
"Price-wise, I heard that Google Cloud Spanner is on the higher side."
"The solution is expensive."
"Google Cloud Spanner is an expensive solution."
"The license is based on the number of users."
"I find that they are relatively expensive, especially when compared to AWS, where the prices are notably lower."
"I have an annual spend number, and it is in the hundred thousand dollar range. There are no additional costs to the standard licensing fees. Even though you have to look at the cost numbers of what you're going to be charged on a monthly basis, what you have to also remember is that your application may need a lot of rewriting and things like that. You get charged not just for the monthly costs but also for the transactions that occur. If your access to the data layer is not so efficient, your costs will go up because you're pulling far more data than you potentially need. These are hidden costs that nobody ever considers. If your application is not written very efficiently, you may actually increase your costs over on-prem versus cloud."
"I'm not sure what the exact price is, but it's a moderate amount. It's not too expensive."
"I recommend considering a pay-as-you-go pricing model initially."
"SQL Azure's licensing cost is expensive."
"It only has a subscription-based license."
"Its price can definitely be lower. It is pretty pricey."
More Microsoft Azure SQL Database pricing and cost advice
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
12%
Healthcare Company
9%
Media Company
8%
Financial Services Firm
13%
Marketing Services Firm
8%
Computer Software Company
8%
Outsourcing 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...
See all answers
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...
See all answers
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 ...
See all answers
What do you like most about SQL Azure?
The automated scalability feature of SQL Azure has proven to be highly beneficial, particularly when deployed in the cloud.
See all answers
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...
See all answers
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 ...
See all answers
 

Comparisons

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MongoDB Atlas vs Google Cloud Spanner
Compared 13% of the time
Yugabyte Cloud vs Google Cloud Spanner Logo
Yugabyte Cloud vs Google Cloud Spanner
Compared 11% of the time
Google Cloud SQL vs Google Cloud Spanner Logo
Google Cloud SQL vs Google Cloud Spanner
Compared 4% of the time
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Google Cloud SQL vs Microsoft Azure SQL Database Logo
Google Cloud SQL vs Microsoft Azure SQL Database
Compared 17% of the time
Amazon RDS vs Microsoft Azure SQL Database Logo
Amazon RDS vs Microsoft Azure SQL Database
Compared 14% of the time
MongoDB Atlas vs Microsoft Azure SQL Database Logo
MongoDB Atlas vs Microsoft Azure SQL Database
Compared 12% of the time
Azure Database for PostgreSQL vs Microsoft Azure SQL Database Logo
Azure Database for PostgreSQL vs Microsoft Azure SQL Database
Compared 11% of the time
Oracle Database as a Service vs Microsoft Azure SQL Database Logo
Oracle Database as a Service vs Microsoft Azure SQL Database
Compared 4% of the time
More Microsoft Azure SQL Database Competitors
 

Product Reports

Buyer's Guide
Database as a Service (DBaaS)
March 2026
Google Cloud Spanner reportDownload Google Cloud Spanner product report
Buyer's Guide
Microsoft Azure SQL Database
March 2026
Microsoft Azure SQL Database reportDownload Microsoft Azure SQL Database product report
 

Also Known As

Google Spanner
No data available
 

Overview

Cloud Spanner is the first and only relational database service that is both strongly consistent and horizontally scalable. With Cloud Spanner you enjoy all the traditional benefits of a relational database: ACID transactions, relational schemas (and schema changes without downtime), SQL queries, high performance, and high availability. But unlike any other relational database service, Cloud Spanner scales horizontally, to hundreds or thousands of servers, so it can handle the highest of transactional workloads. With automatic scaling, synchronous data replication, and node redundancy, Cloud Spanner delivers up to 99.999% (five 9s) of availability for your mission critical applications. In fact, Google’s internal Spanner service has been handling millions of queries per second from many Google services for years.

Google

Microsoft Azure SQL Database is a relational database-as-a-service that delivers predictable performance, scalability, business continuity, data protection, and near-zero administration to cloud developers and solution architects. This is the deep technical library for Azure SQL Database.

Microsoft
 

Sample Customers

Streak, Optiva, Mixpanel
adnymics GmbH, LG CNS, Centrebet, netfabb GmbH, MedPlast, Accelera Solutions, Sochi Organizing Committee, realzeit GmbH
Buyer's Guide
Google Cloud Spanner vs. Microsoft Azure SQL Database
March 2026
Free Report: Google Cloud Spanner vs. Microsoft Azure SQL Database
Find out what your peers are saying about Google Cloud Spanner vs. Microsoft Azure SQL Database and other solutions. Updated: March 2026.
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