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 9.0% 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

3,105 Views
3,012 Comparison Views

100% willing to recommend

Microsoft Azure SQL Database

Read 140 Microsoft Azure SQL Database reviews

9,646 Views
9,453 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: November 2026).

Buyer's Guide

Google Cloud Spanner vs. Microsoft Azure SQL Database

November 2026

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Helped 920,043 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 November 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 7.3%, up from 5.7% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 9.0%, down from 12.5% 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	9.0%
Google Cloud Spanner	7.3%
Other	83.7%

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.

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

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

"The solution is stable and reliable."

"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."

"It is a very scalable solution."

"What I found most valuable in Azure SQL are the functions related to Active Directory and the database services."

"The compatibility with SQL Server for transitioning legacy systems to Microsoft Azure SQL Database is very important because it gives us assurance that what we experience today, we can get the same performance on the other side."

"The solution is quite straightforward to set up."

"Microsoft Azure products provide good return on investment; for example, in a simple workload or simple apps, we use managed services in Azure, which is a good thing for return on investment because we can deploy simply and rapidly with a lower price for a workload, and it is important for us since our applications are simple and are designed for Azure."

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

"The most valuable feature from the infra point of view is you don't have to keep any on-prem infrastructure, it is available all the time whenever you want to access it."

"The environment is user friendly and there is good flexibility for adding modules or features."

"The most valuable aspects of this solution are the integration with the darknet stack especially Microsoft, table groups, supports major capability requirements, and SQL always-on feature."

More Microsoft Azure SQL Database pros

Cons

"The cost can be a bit high."

"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 tool lacks to offer AI features."

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

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

"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."

"Microsoft Azure SQL Database could improve by having better tooling in terms of connecting to other database platforms and better capabilities around programmable interfaces. There should be more fine-tuning on the storage layer. I would like to see T-SQL improvements to automatically translate features from other database platforms for easier migration, as well as some improvements around column store and native capabilities like those in Iceberg and PowerK built into the SQL Server product."

"It's a little bit limited in terms of functionality."

"My only concern regarding the pricing, setup cost, and licensing of Microsoft Azure SQL Database is that we have a large database size but limited compute requirements, which has forced us to move towards a higher core just to meet our database sizing requirements."

"Scalability Cost efficiency Business continuity"

"For simple queries, it usually goes smoothly, but more complex issues tend to lead to tough discussions and often require escalation to our Microsoft contact due to slower response times."

"I need Microsoft to allow their network to access open source technologies."

More Microsoft Azure SQL Database cons

Pricing and Cost Advice

"The solution is expensive."

"It is expensive."

"Google Cloud Spanner is an expensive solution."

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

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

"The solution is expensive."

"We pay less than $1000 monthly in licensing fees. There are no additional costs."

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

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

"SQL Azure's licensing cost is expensive."

"It is reasonable."

"The price could be slightly cheaper."

More Microsoft Azure SQL Database pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

23%

Manufacturing Company

Healthcare Company

Comms Service Provider

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 10% of the time

Azure Database for PostgreSQL vs Microsoft Azure SQL Database

Compared 9% of the time

Oracle Exadata Express Cloud Service 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)

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

November 2026

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

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