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 9.0, while Microsoft is ranked #2 with an average rating of 8.7. Google holds a 4.7% mindshare in DS, compared to Microsoft’s 15.4% 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

819 Views
753 Comparison Views

100% willing to recommend

Microsoft Azure SQL Database

Read 117 Microsoft Azure SQL Database reviews

4,217 Views
4,175 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: July 2025).

Buyer's Guide

Google Cloud Spanner vs. Microsoft Azure SQL Database

July 2025

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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

9.0

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)

2nd

Average Rating

8.6

Reviews Sentiment

7.2

Number of Reviews

117

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 4.7%, up from 3.6% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 15.4%, down from 18.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS)

Featured Reviews

Ethan Lo

Infrastructuer Security at Premise Data

A stable and scalable relational database that ensures a return on investment for its users

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. You can change Google Cloud Spanner's resource configuration, which is done through processing units. Suppose you set up Google Cloud Spanner initially with a hundred processing units, and then you run out of resources since your database used too much CPU. In the aforementioned scenario, you can scale up or down and face no downtime in the production phase. The solution's features are important when running a company twenty-four hours, seven days a week.

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Charley Hanania

Data Platform Specialist at QS2 AG - Quality Software Solutions

It is very easy to implement, manage, and offers great insights into what is happening inside the engine

Microsoft Azure SQL Database is integrated into other Azure capabilities and has a great foundation being on SQL Server with a long history of security, performance, and usability from a DBA perspective. Once you've set up a server, adding databases is easy. There's a minor challenge with having data in separate databases that you want to connect like we do on premises. I'm looking forward to using some of these new AI-driven functions that have come out around vectorization. Having the data closer to my transactional databases or data makes it easy to augment and enhance the Database and applications I currently use. It's great that Azure SQL now seamlessly integrates with Microsoft Fabric. It's a first-tier service in the cloud that connects to web applications and other databases. The data transformation orchestration capabilities within Database Factory and similar capabilities make it effortless to move that stuff forward.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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."

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

"It is a very scalable solution."

"Google Cloud Spanner is stable."

"We like the ease of integrating it with our on-premises environment. We use a hybrid model. We have a SQL Server on-premises, and we have an integration with the cloud version. We do CPU or disk intensive processes on-premises. For accessibility, we offload onto the cloud. When you do a lot of IO and things like that in the cloud, Microsoft charges for the CPU activity."

"Great auto-scaling and security features."

"Azure Portal is most valuable."

"The backup solution in Azure is great, the firewall settings in SQL are very easy to use and work very well. Additionally, the turning process is very good and has improved the SQL services and queries."

"We've saved time setting up the databases. While I'm not involved in the maintenance, I'm sure that's also a big factor. It's hosted in the cloud, so we don't have to maintain the servers."

"The on-premise SQL Server licenses can be used since it is on Azure, so it's a significant savings for the customers."

"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."

"We appreciate that Microsoft Azure SQL Database supplies reliability and efficiency with its infrastructure, which is very beneficial to our organization."

More Microsoft Azure SQL Database pros

Cons

"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."

"I want to improve the deployment of cameras and surveillance infrastructure."

"The tool needs to improve horizontal scaling."

"One area for improvement could be expanding the search queries using vectors or AI inside the database. After seeing its potential in a workshop, I realized the usefulness of more advanced search queries with AI."

"A potential area for improvement could be integrating with third-party clouds. Adding a feature to bring Azure SQL in Azure with SQL on-premises would be helpful."

"If the product could support applications requiring an SQL server for installation, by using SQL Azure as a backend, that would be useful."

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

"There needs to be a hybrid model for situations where not all customers want a cloud-based SQL solution."

"I'm not really a SQL DBA, so I can't go into the depths of the areas that need to be improved. They can maybe make it a bit easier to educate people on how to develop SQL Server in Azure. They can provide some free seminars and webinars and more training in general for easier migration. I know there is some stuff on Microsoft learning, but it would be helpful and useful to have more up-to-date content."

"The pricing is very high."

"I would like to see integration with Snowflake."

More Microsoft Azure SQL Database cons

Pricing and Cost Advice

"Google Cloud Spanner is an expensive solution."

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

"The solution is expensive."

"It is expensive."

"We have the licensing fee, and we are also paying a third party to maintain it with an SLA. There is no infrastructure cost, but its running costs are higher than expected. There is the cost of the Azure cloud, which is pricier than expected, but it is not specific to SQL Azure. It is specific to the cloud. You expect it to be cheaper, but it is more expensive to run it."

"It is reasonable."

"Microsoft Azure SQL Database is not cheap."

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

"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."

"The price could be slightly cheaper."

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

"SQL Azure is an expensive solution."

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%

Retailer

Manufacturing Company

Educational Organization

27%

Financial Services Firm

10%

Computer Software Company

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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 do you like most about Google Cloud Spanner?

Google Cloud Spanner is stable.

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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 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.

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What is your experience regarding pricing and costs for SQL Azure?

The pricing of Microsoft Azure SQL Database is not cheap, affecting user uptake. A gradual reduction in price could improve accessibility and user numbers, making it easier for users to adopt the s...

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What needs improvement with SQL Azure?

Pricing could be improved to make Microsoft Azure SQL Database ( /products/microsoft-azure-sql-database-reviews ) more accessible. A reduction in price might encourage more users and bring more pro...

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Comparisons

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Compared 29% of the time

MongoDB Atlas vs Google Cloud Spanner

Compared 16% of the time

Google Cloud SQL vs Google Cloud Spanner

Compared 12% of the time

SingleStore vs Google Cloud Spanner

Compared 12% of the time

Redis vs Google Cloud Spanner

Compared 10% of the time

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Google Cloud SQL vs Microsoft Azure SQL Database

Compared 32% of the time

Amazon RDS vs Microsoft Azure SQL Database

Compared 24% of the time

MongoDB Atlas vs Microsoft Azure SQL Database

Compared 15% of the time

Oracle Database as a Service vs Microsoft Azure SQL Database

Compared 7% of the time

Microsoft Azure Cosmos DB 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)

July 2025

Download Google Cloud Spanner product report

Buyer's Guide

Microsoft Azure SQL Database

June 2025

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

July 2025

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

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