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 7.2% mindshare in DS, compared to Microsoft’s 10.7% 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

1,281 Views
1,217 Comparison Views

100% willing to recommend

Microsoft Azure SQL Database

Read 134 Microsoft Azure SQL Database reviews

4,005 Views
3,925 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: February 2026).

Buyer's Guide

Google Cloud Spanner vs. Microsoft Azure SQL Database

February 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 February 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 7.2%, up from 4.0% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 10.7%, down from 16.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Market Share Distribution
Product	Market Share (%)
Microsoft Azure SQL Database	10.7%
Google Cloud Spanner	7.2%
Other	82.1%

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."

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

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

"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."

"The most valuable feature is PolyBase."

"The initial setup was straightforward. It took less than one day for deployment."

"The biggest return on investment from my perspective when using Microsoft Azure SQL Database comes from how easy it is to set up and how much of a foundation it already has in terms of being a trusted platform."

"The most valuable feature of SQL Azure is centralized authentication because I'm using the domain, user name, and password, for Microsoft 365 account with multifactor authentication and the security has been working well."

"It is good for scalability and high availability. It is also secure because of Microsoft's cloud investment. It is easy to use because it is on the cloud. Creation or making it available through web services is super easy. Azure SQL can be quickly published as web services for APIs to connect with other applications. Because it is in Microsoft Cloud, you can easily integrate with Microsoft stack."

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

"The backup features are the most valuable."

"Our migration to Azure for most databases has increased our organization's efficiency and reduced the maintenance required to manage on-premises infrastructure."

More Microsoft Azure SQL Database pros

Cons

"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."

"The tool lacks to offer AI features."

"The cost can be a bit high."

"The tool needs to improve horizontal scaling."

"There is probably more functionality in our on-prem SQL Server than SQL Azure."

"There isn't any new improvement that I can think of at the moment. We have different deployment choices, such as running SQL on an Azure VM or deploying SQL-managed instances. The managed instance is a significant improvement over running SQL in an Azure VM."

"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."

"Azure SQL can improve by adding more machine learning features like other databases, such as Cassandra or Cosmos DB."

"Its automation can be improved. SQL Server Agent was a very big part of the on-prem tools. While moving from on-prem to the cloud, redoing some of such tools was very cumbersome in Azure. There was a whole new set of technologies and methodologies. It should have easier automation-type features to be able to implement such tools. It should have almost a SQL agent type of substance built into that."

"The solution has to scale up its expertise for hosting Oracle."

"The solution’s pricing needs improvement because it is too high."

"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."

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 license is based on the number of users."

"Compared to other providers, the pricing is definitely on the affordable side."

"There is no licensing cost for the solution."

"It is expensive for us. We are looking for something less expensive and thinking of migrating the whole system."

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

"You can use it for smaller instances and pay less. You can also go for the premium product with all the security, scalability, and business continuity features, but you have to pay a premium amount."

"From a licensing benefit standpoint, we have clients who are coming with their own SQL licensing with Software Assurance, and they are able to use those licenses for their Azure SQL and reduce costs."

"I would rate the pricing a seven out of ten."

More Microsoft Azure SQL Database pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

12%

Healthcare Company

10%

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	59
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...

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

Oracle Database as a Service vs Google Cloud Spanner

Compared 20% of the time

Yugabyte Platform vs Google Cloud Spanner

Compared 15% of the time

MongoDB Atlas vs Google Cloud Spanner

Compared 14% of the time

Microsoft Azure Cosmos DB vs Google Cloud Spanner

Compared 8% of the time

SingleStore vs Google Cloud Spanner

Compared 6% of the time

More Google Cloud Spanner Competitors

Google Cloud SQL vs Microsoft Azure SQL Database

Compared 19% of the time

Amazon RDS vs Microsoft Azure SQL Database

Compared 16% of the time

MongoDB Atlas vs Microsoft Azure SQL Database

Compared 13% of the time

Azure Database for PostgreSQL vs Microsoft Azure SQL Database

Compared 9% of the time

vCloud Air vs Microsoft Azure SQL Database

Compared 3% of the time

More Microsoft Azure SQL Database Competitors

Product Reports

Buyer's Guide

Database as a Service (DBaaS)

February 2026

Download Google Cloud Spanner product report

Buyer's Guide

Microsoft Azure SQL Database

January 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

February 2026

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

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