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 7.2% mindshare in DS, compared to Microsoft’s 9.1% 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

2,738 Views
2,656 Comparison Views

100% willing to recommend

Microsoft Azure SQL Database

Read 138 Microsoft Azure SQL Database reviews

8,410 Views
8,242 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 912,818 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

6.9

Number of Reviews

138

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 7.2%, up from 5.1% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 9.1%, 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	9.1%
Google Cloud Spanner	7.2%
Other	83.7%

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.

Read full review

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."

"The solution is stable and reliable."

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

"Google Cloud Spanner is stable."

"It is a very scalable solution."

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

"What I like the most is the processes and the easiness of deployments."

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

"The solution is very stable."

"The feature I like the most about Microsoft Azure SQL Database is that it's a managed service, which is the main reason we use it, as a global enterprise we used to spend a lot of time maintaining SQL Server and SQL Databases, and using Azure SQL allows us to leverage our people's comprehensive power to focus on more important tasks than just upgrading the SQL and doing maintenance."

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

"The integration with Azure Data Factory is seamless and straightforward, described as just a click away."

"It's the type of product that doesn't need much technical support assistance as it works seamlessly."

"SQL Azure is reliable and scales well."

More Microsoft Azure SQL Database pros

Cons

"The tool lacks to offer AI features."

"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."

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

"Azure SQL had a bit of a learning curve to start, but it was fairly simple once I understood how to develop it. I was using PowerShell to connect to it, and I've never connected to online databases through Azure using PowerShell. Scripting the PowerShell connections could be simpler. The coding is familiar, but figuring out how to use it initially can be easier."

"Some issues with scalability."

"The underlying Windows OS is highly scalable but has a very large resource requirement."

"Microsoft Azure SQL Database could improve by providing more support for Availability Groups within Managed Instance."

"Microsoft Azure SQL Database can be improved by making the interface a little easier for users to manage. A lot of the configuration has to be done through PowerShell, but perhaps they could include some more enhancements and settings to do through the portal."

"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 price is a little higher."

More Microsoft Azure SQL Database cons

Pricing and Cost Advice

"It is expensive."

"The solution is expensive."

"Google Cloud Spanner is an expensive solution."

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

"There is no licensing cost for the solution."

"I would like it to be cheaper, but comparatively, it is reasonably priced."

"It is beneficial in terms of cost because you are charged per data unit instead of licensing."

"SQL Azure is an expensive solution."

"I'm not sure what the exact price is, but it's a moderate amount. It's not too expensive."

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

"The price could be slightly cheaper."

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

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

18%

Financial Services Firm

12%

Construction Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	62
Midsize Enterprise	17
Large Enterprise	65

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 am not involved in the pricing part of Microsoft Azure SQL Database, so I have not heard anything.

See all answers

What needs improvement with SQL Azure?

I have not worked much on Microsoft Azure SQL Database's ability to power next-generation AI applications. I cannot suggest anything about improvements in Microsoft Azure SQL Database because I am ...

See all answers

What is your primary use case for SQL Azure?

I find the data migration part for Microsoft Azure SQL Database very good for connecting one database to another database. For the integration with other Microsoft applications, we are using SQL Se...

See all answers

Comparisons

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Compared 17% of the time

Yugabyte Platform vs Google Cloud Spanner

Compared 13% of the time

Amazon RDS vs Google Cloud Spanner

Compared 11% of the time

MongoDB Atlas vs Google Cloud Spanner

Compared 10% of the time

Couchbase Capella vs Google Cloud Spanner

Compared 5% of the time

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Amazon RDS vs Microsoft Azure SQL Database

Compared 12% of the time

Google Cloud SQL vs Microsoft Azure SQL Database

Compared 11% of the time

MongoDB Atlas vs Microsoft Azure SQL Database

Compared 10% of the time

Azure Database for PostgreSQL vs Microsoft Azure SQL Database

Compared 10% of the time

vCloud Air vs Microsoft Azure SQL Database

Compared 4% of the time

More Microsoft Azure SQL Database Competitors

Product Reports

Buyer's Guide

Database as a Service (DBaaS)

September 2026

Download Google Cloud Spanner product report

Buyer's Guide

Microsoft Azure SQL Database

August 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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