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 916,240 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."

"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."

"The solution is stable and reliable."

"In terms of stability, because Microsoft is the underlying technology, they are much more stable than say Oracle. Since 2014 they did a great job in offering stability, performance and high visibility on the solution, especially in comparison to the other competitors."

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

"The automated scalability feature of SQL Azure has proven to be highly beneficial, particularly when deployed in the cloud."

"Overall, I am happy with this product and I recommend it."

"SQL is easy to use and easily integrates with many systems. There aren't many code changes needed when you're using SQL databases. Integrating Azure SQL with other Microsoft applications is instant because they're all Microsoft solutions."

"SQL Server has helped to significantly reduce the total cost of ownership."

"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."

"Overall, Azure SQL has been great. The ease of deployment and scalability are significant reasons we push our larger clients to Azure. We could throw the kitchen sink at the thing if we wanted."

More Microsoft Azure SQL Database pros

Cons

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

"The tool lacks to offer AI features."

"The cost can be a bit high."

"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 needs to improve horizontal scaling."

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

"Its compatibility with existing applications can be improved. Its compatibility is currently a little bit imbalanced."

"There are compatibility issues that prevent Azure SQL Database from being a direct replacement for SQL Server running on a virtual machine. For instance, handling application-initiated DBCC commands is a challenge."

"The solution could improve by allowing the export of the data more seamlessly. It is difficult to copy and back up data."

"They should also simplify the security in Azure. Integrating those components in terms of permissions and security is challenging for us."

"There is a need for dynamic scaling support without losing current transactions. That should be part of the standard offering to SKUs. It doesn't have Auto SQL. We have HyperSQL, but there are limitations on the Elastic Pool. It only allows 25 databases. It would help if we could automatically analyze and optimize long-running queries instead of handling these tasks manually."

"What could be enhanced is the price of Enterprise to be reduced."

"The problem is the automated configuration."

More Microsoft Azure SQL Database cons

Pricing and Cost Advice

"It is expensive."

"The solution is expensive."

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

"Google Cloud Spanner is an expensive solution."

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

"The solution is expensive."

"It is reasonable."

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

"The pricing is actually complicated, and that is probably one downside of it. In some respects, although we can plan for the costs on a month-by-month basis, we are finding it hard to project our costings for it. Fundamentally, Microsoft is offering two pricing models, and it is challenging to understand the differences between the two. We're basically on the DTU model at the moment. That may change in the future as the size grows, but it is one of those things that we'll end up monitoring as we progress. At the moment, to get a reasonable response, generally, the price is a little high for us, but it is one of those things for which we know that we can do improvements on our code. So, it is not just the service that's the problem; it is some of the things that we need to do as well."

"I believe the licensing is more on a global scale."

"It requires a license. As compared to its competitors, such as Oracle, it is affordable and reasonable."

"It only has a subscription-based license."

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	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?

For pricing, it is a good benefit. You can decrease the price by approximately 25% or 30% maximum. It is a good opportunity for us. Software Assurance and Azure Hybrid Benefit is a good opportunity...

See all answers

What needs improvement with SQL Azure?

This question is complicated. Some developers know the SQL language, but they are not database managers. They can develop with some queries, which is acceptable for us, but management of SQL engine...

See all answers

What is your primary use case for SQL Azure?

We work in Azure on our applications. We work with SQL, Cosmos DB, PostgreSQL, and we work with some services: AKS, Kubernetes services, managed Kubernetes, which we use in our applications. We use...

See all answers

Comparisons

Oracle Database as a Service vs Google Cloud Spanner

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

More Google Cloud Spanner Competitors

Amazon RDS vs Microsoft Azure SQL Database

Compared 11% 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

IBM Db2 on Cloud 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)

October 2026

Download Google Cloud Spanner product report

Buyer's Guide

Microsoft Azure SQL Database

September 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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