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 8.1% mindshare in DS, compared to Microsoft’s 10.1% 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

1,718 Views
1,649 Comparison Views

100% willing to recommend

Microsoft Azure SQL Database

Read 134 Microsoft Azure SQL Database reviews

5,581 Views
5,469 Comparison Views

96% willing to recommend

Google Cloud Spanner

Microsoft Azure SQL Database

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.

To learn more, read our detailed Google Cloud Spanner vs. Microsoft Azure SQL Database Report (Updated: April 2026).

Buyer's Guide

Google Cloud Spanner vs. Microsoft Azure SQL Database

April 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

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 April 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 8.1%, up from 4.4% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 10.1%, 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
Product	Mindshare (%)
Microsoft Azure SQL Database	10.1%
Google Cloud Spanner	8.1%
Other	81.8%

Database as a Service (DBaaS)

Featured Reviews

LijomonJose

System Architect at UST Global EspaÃ±a

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.

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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

"Google Cloud Spanner is stable."

"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."

"The solution is stable and reliable."

"We can scale the solution if we need to."

"Microsoft Azure SQL Database's ability to segregate read-write operations helps me manage my application and workloads effectively."

"The impact of the automatic tuning feature on my database performance has increased performance while keeping costs at realistic levels, and it has removed some of the engineering workloads for our DBAs who would have had to worry about manually performing tuning."

"The dashboard is valuable."

"We have multiple applications running for our customers that we can integrate into Azure SQL."

"The database is extremely scalable, allowing seamless scaling up or down with a simple change in parameters."

"The stability is good and the performance is fantastic. Even when we try to do an inquiry into issues we can do it easily."

"The solution is efficient and easy to use."

"I am very happy with this solution; right now, I don't think there is anything I would change."

More Microsoft Azure SQL Database pros

Cons

"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 cost can be a bit high."

"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."

"SQL Azure could improve by adding more features."

"Although the solution integrates well into Azure’s ecosystem, it has limited capability and is incompatible with many third-party applications or tools."

"I was using a user list for connecting a program in OTF for getting information. The connection in SQL Azure can improve by being easier because at the moment I have to use private certificates for user authentication."

"One area for improvement is the need for accurate cost estimates."

"There are compatibility issues that prevent Azure SQL Database from being a direct replacement for SQL Server running on a virtual machine."

"For simple queries, it usually goes smoothly, but more complex issues tend to lead to tough discussions and often require escalation to our Microsoft contact due to slower response times."

"It needs to improve the security features, because people still aren't confident enough to use a public cloud."

"Improvement could be made in the performance tools, offering a better overview of core issues like process activity and latency, as we currently rely on third-party tools and SQL jobs for monitoring and alerts."

More Microsoft Azure SQL Database cons

Pricing and Cost Advice

"Google Cloud Spanner is an expensive solution."

"The solution is expensive."

"It is expensive."

"Price-wise, I heard that Google Cloud Spanner is on the higher side."

"The pricing is actually complicated, and that is probably one downside of it. In some respects, although we can plan for the costs on a month-by-month basis, we are finding it hard to project our costings for it. Fundamentally, Microsoft is offering two pricing models, and it is challenging to understand the differences between the two. We're basically on the DTU model at the moment. That may change in the future as the size grows, but it is one of those things that we'll end up monitoring as we progress. At the moment, to get a reasonable response, generally, the price is a little high for us, but it is one of those things for which we know that we can do improvements on our code. So, it is not just the service that's the problem; it is some of the things that we need to do as well."

"The price of the solution is reasonable."

"The price in general of Azure SQL could improve."

"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."

"It's reasonably priced and when you compare it with other products in the cloud environment, it's cheaper."

"Its price can definitely be lower. It is pretty pricey."

"It requires a license. As compared to its competitors, such as Oracle, it is affordable and reasonable."

"It is expensive. Snowflake and PostgreSQL are cheaper than this. Google is also cheaper than Azure. Its licensing is on a pay-as-you-go basis. It is based on usage and storage."

More Microsoft Azure SQL Database pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

10%

Healthcare Company

Media Company

Financial Services Firm

15%

Marketing Services Firm

Outsourcing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	60
Midsize Enterprise	17
Large Enterprise	61

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...

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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...

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What needs improvement with Google Cloud Spanner?

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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...

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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

What is your primary use case for SQL Azure?

My main use cases for Microsoft Azure SQL Database are third-party applications.

See all answers

Comparisons

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Compared 21% of the time

Yugabyte Platform vs Google Cloud Spanner

Compared 15% of the time

MongoDB Atlas vs Google Cloud Spanner

Compared 12% of the time

Yugabyte Cloud vs Google Cloud Spanner

Compared 10% of the time

Amazon RDS vs Google Cloud Spanner

Compared 6% of the time

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Google Cloud SQL vs Microsoft Azure SQL Database

Compared 16% of the time

Amazon RDS vs Microsoft Azure SQL Database

Compared 13% of the time

Azure Database for PostgreSQL vs Microsoft Azure SQL Database

Compared 11% of the time

MongoDB Atlas vs Microsoft Azure SQL Database

Compared 11% of the time

Oracle Database as a Service vs Microsoft Azure SQL Database

Compared 5% of the time

More Microsoft Azure SQL Database Competitors

Product Reports

Buyer's Guide

Database as a Service (DBaaS)

March 2026

Download Google Cloud Spanner product report

Buyer's Guide

Microsoft Azure SQL Database

March 2026

Download 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

April 2026

Free Report: Google Cloud Spanner vs. Microsoft Azure SQL Database

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