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

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: 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

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
Product	Mindshare (%)
Microsoft Azure SQL Database	10.5%
Google Cloud Spanner	7.8%
Other	81.7%

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

"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."

"Google Cloud Spanner is stable."

"The application deployment in the cloud is the best feature of the infrastructure."

"It is a very scalable solution."

"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 data availability and speed are impressive, especially compared to legacy systems. The loading speeds are much faster on Azure SQL."

"The features of Microsoft Azure SQL Database that I find most valuable are the ability to scale it up and down dynamically with customer load, which is necessary because during the day or business hours when there's more load, we need to scale it up and scale it back down at night for cost efficiency."

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

"It's easy to use in terms of their portal, which is very nicely organized."

"I rate Microsoft Azure SQL Database nine out of 10."

"The Microsoft Azure SQL Database performs effectively, and if money is not a problem, you can scale; it can grow, and with a click of a button, you can add more memory and more CPU."

"The feature I appreciate most about Microsoft Azure SQL Database is the ease of use; whenever we navigate to the portal, we realize that it is user-friendly and intuitive, and if there is a problem such as an application being down, we know exactly where to look and what to do to troubleshoot it quickly."

More Microsoft Azure SQL Database pros

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 cost can be a bit high."

"The tool lacks to offer AI features."

"The solution can be improved by reducing the constraints available."

"We've had many concurrency issues with it, particularly with applications that do a lot of parallel processing."

"The management is entirely controlled by Microsoft, so there are some restrictions."

"Sometimes, we encounter limitations due to our use of a government cloud environment, which differs from commercial cloud platforms."

"Microsoft Azure SQL Database would benefit from enhanced documentation, along with ongoing improvements to scalability and cost-effectiveness."

"SQL Azure could improve the feature set. They are catching up to Microsoft SQL Server."

"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."

"Microsoft Azure SQL Database could improve by having better tooling in terms of connecting to other database platforms and better capabilities around programmable interfaces."

More Microsoft Azure SQL Database cons

Pricing and Cost Advice

"It is expensive."

"Google Cloud Spanner is an expensive solution."

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

"The solution is expensive."

"The cost is around $2,000 per month."

"The solution is more cost-effective than Google BigQuery. Compared to Google BigQuery, downloading data can be more expensive."

"With one being expensive and five being competitive, I would give the product a four out of five as it's relatively competitive. It is also important to note that pricing is based on usage."

"When you go with SQL Azure Database, you can create a small database, which is around $4 to $5 per month for development purposes."

"In terms of the cost, SQL Azure is a pay-per-use solution, particularly because it's a cloud subscription, so you pay as much as you use it."

"The solution is expensive."

"When looking at the long-term expenses associated with running software on an on-premises server, the costs are almost equivalent but when we include insurance for devices, onsite fees for servers, and other related costs, we may find that this is a cost-effective solution."

"The licensing for this solution is based on subscription."

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

12%

Healthcare Company

Media Company

Financial Services Firm

13%

Marketing Services Firm

Computer Software Company

Manufacturing 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 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...

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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

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Compared 12% of the time

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Compared 12% of the time

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Compared 4% 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

February 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

March 2026

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

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