Google Cloud Spanner vs Microsoft Azure SQL Database comparison

Why PeerSpot?

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 7.3% mindshare in DS, compared to Microsoft’s 9.2% 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

2,876 Views
2,790 Comparison Views

100% willing to recommend

Microsoft Azure SQL Database

Read 140 Microsoft Azure SQL Database reviews

8,894 Views
8,716 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: September 2026).

Buyer's Guide

Google Cloud Spanner vs. Microsoft Azure SQL Database

September 2026

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Helped 919,003 peers since 2012

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

6.8

Number of Reviews

140

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 7.3%, up from 5.5% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 9.2%, down from 13.0% 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	9.2%
Google Cloud Spanner	7.3%
Other	83.5%

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.

Read full review

Matthew Parker

Ai Team Lead at Phoenix Software

Integrates with familiar tools and supports reliable data storage for AI applications

Microsoft Azure SQL Database can be improved overall by being able to compete with some of the features that come from things such as PostgreSQL. From my team's perspective in terms of building AI applications, more native integrations with some of the newer AI data types, such as vectors for storing embeddings, would be beneficial. I think all of that is coming. It is just a big product, so I think it is naturally a little bit behind the curve. However, that is not necessarily a bad thing because a lot of customers, because it has been around for so long, they trust it and they are willing to wait until those features become available.

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

"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 solution is stable and reliable."

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

"Google Cloud Spanner is stable."

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

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

"Hosting these types of databases on-premises can be challenging, but if you have the ability to do it on Azure, that is beneficial, and it also removes security obstacles as well."

"The solution is quire more stable than other tools."

"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."

"It is very fast in replicating the data from one database to another; we do some extractions from multiple databases to a target database that we use for visualization, and it has a good speed."

"Its technical support team is good."

"Microsoft Azure SQL Database has significantly improved our operations by allowing us to extract data and generate comprehensive reports in Power BI."

"We primarily and generally use it only for DB purposes. When it comes to the Azure part, we can easily provision, scale up, and scale down the generator machine. This kind of flexibility is the USP of SQL Azure. Its interface and ease of use are also valuable. It is very easy to use and integrate with multiple databases. If I need to pull in or import some data from my on-premises database, the ease with which you can connect and pull the data, not only from SQL Server but also from other flavors of MySQL or even Oracle, is very good."

More Microsoft Azure SQL Database pros

Cons

"The cost can be a bit high."

"The tool needs to improve horizontal scaling."

"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."

"I would like to see the cloud connectivity environment improved."

"In terms of improvement, making Microsoft Azure SQL Database faster would cater to big companies that require speed."

"The solution could be less expensive. They need to work on their pricing model."

"The product could be more competitive in terms of features, security, and scalability."

"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."

"I think this product can improve its integrations with business intelligence software. The integrations are always cumbersome due to the approvals, passwords, et cetera."

"The initial setup is complex."

"There are certain shortcomings when it comes to the stability of the product, especially if I consider the fact that there can always be some bug-related issues in the tool."

More Microsoft Azure SQL Database cons

Pricing and Cost Advice

"The solution is expensive."

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

"Google Cloud Spanner is an expensive solution."

"It is 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."

"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."

"I recommend considering a pay-as-you-go pricing model initially."

"Microsoft Azure SQL Database is not cheap."

"Offers options for paying the license on a yearly or a monthly basis."

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

"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."

"The pricing is flexible and can be adapted based on our requirements but the pricing options are complex especially if we are using a VM."

More Microsoft Azure SQL Database pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Healthcare Company

Manufacturing Company

Computer Software Company

Outsourcing Company

17%

Financial Services Firm

11%

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	64
Midsize Enterprise	17
Large Enterprise	66

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 SQL Azure?

I think Microsoft Azure SQL Database is affordable, not expensive. Regarding migration, I am just keeping a professional service charge for that.

See all answers

What needs improvement with SQL Azure?

The automatic tuning feature in Microsoft Azure SQL Database impacts database performance sometimes. What happens with Microsoft Azure SQL Database's automatic tuning is that when SQL queries are e...

See all answers

What is your primary use case for SQL Azure?

I am a system integrator using Microsoft Azure SQL Database for my customers. The major use case for Microsoft Azure SQL Database is that most of my clients have a lot of applications, so they are ...

See all answers

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Compared 11% of the time

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Compared 11% of the time

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Compared 9% of the time

Azure Database for PostgreSQL vs Microsoft Azure SQL Database

Compared 9% of the time

EDB Managed DBaaS Service vs Microsoft Azure SQL Database

Compared 5% of the time

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Product Reports

Buyer's Guide

Database as a Service (DBaaS)

October 2026

Download Google Cloud Spanner product report

Buyer's Guide

Microsoft Azure SQL Database

October 2026

Download Microsoft Azure SQL Database product report

Also Known As

Google Spanner

No data available

Overview

Google Cloud Spanner is a fully managed, scalable, globally distributed, and strongly consistent database service. It offers traditional relational database semantics alongside non-traditional scale and availability.

Google Cloud Spanner is designed for applications that require high availability, strong consistency, and the ability to scale across regions without sacrificing performance. It supports SQL semantics and guarantees ACID transactions. With seamless horizontal scaling, it enables businesses to automatically expand their databases in response to load demands, maintaining performance and reliability. Built with advanced technology, it provides developers the ability to focus on building applications without worrying about infrastructure complexity.

What are the key features of Google Cloud Spanner?

Global scale: Allows horizontal scaling across regions with ease.
Strong consistency: Ensures all read and write operations are atomic, consistent, isolated, and durable.
SQL support: Provides ANSI SQL support, allowing easy integration with existing applications.
Automatic sharding: Manages data partitioning under the hood for optimal performance.
High availability: Delivers an SLA of 99.999% uptime, crucial for business-critical applications.

What benefits or ROI should users consider?

Reduced operational complexity: Minimizes database management tasks, allowing focus on application development.
Cost efficiency: Optimizes resource usage and minimizes unnecessary provisioning costs.
Scalability: Supports application growth without infrastructure reengineering.
Consistent performance: Maintains high performance under heavy and variable workloads.

Google Cloud Spanner's implementation in the finance sector facilitates real-time transaction processing and fraud detection systems. In retail, it handles large volumes of transactional data, supporting services like inventory management. Healthcare uses it for managing patient data across geographic locations, ensuring data consistency and accessibility.

Google

Microsoft Azure SQL Database offers scalability, reliability, and easy integration with Microsoft services. It features cost-efficiency, security, and high availability, supporting global access with automatic tuning and user-friendly interfaces. Organizations benefit from reduced infrastructure maintenance.

Azure SQL Database supports content management, data warehousing, OLTP, and analytics while providing backend functions for applications and managing financial transactions. It integrates seamlessly with SAP, supports variable workloads with scalability, and enables smooth cloud migration. Well-suited for hosting Power Platform apps, it enhances performance with predefined templates, facilitates ERP and HR solutions, and aids in reporting, maintaining customer databases, and supporting enterprise applications across industries. However, users seek improvements in pricing, documentation, support, third-party integration, advanced automation, intuitive interfaces, especially in expanding regions. Challenges include configuration, scalability, and security with complex queries or on-premises features, alongside data export and AI integration tool needs.

What are the most important features of Microsoft Azure SQL Database?

Reliability: Ensures high availability and durability of data.
Scalability: Provides options to dynamically adjust resources.
Security: Offers strong data encryption and protection measures.
Integration: Works seamlessly with Microsoft and third-party services.
Automatic Tuning: Enhances performance by optimizing operations.

What are key benefits and ROI considerations?

Cost-Efficiency: Offers competitive pricing with flexible resource usage.
Reduced Maintenance: Minimizes infrastructure upkeep with cloud services.
Performance Enhancement: Delivers robust analytics and reporting abilities.
Global Accessibility: Supports remote access for international operations.

In finance, Azure SQL Database manages transactions and maintains customer databases. The retail industry uses it for analytics and inventory management. Healthcare leverages it for patient data processing and regulatory compliance. Manufacturing benefits from ERP integrations and scalable processes for production management.

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

September 2026

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

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