Google Cloud Spanner vs Microsoft Azure SQL Database comparison

Google Cloud Spanner vs. Microsoft Azure SQL Database

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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

9.2

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.

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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

"It is a very scalable solution."

"Google Cloud Spanner is stable."

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

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

"The solution is stable and reliable."

"The solution is very stable; Microsoft is one of the most stable platforms and it offers 100% stability."

"The feature I like the most about Microsoft Azure SQL Database is the scaling part."

"SQL Azure is good with transactional systems."

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

"It's stable, and the performance is really very good, which is what I really like about Azure SQL."

"The ability to maintain different environments, such as development and production databases, is valuable."

"It is quick to set up and easy to scale."

"The database has since become more stable, and I have less troubleshooting, which saves time and money."

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."

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

"The cost can be a bit high."

"The tool needs to improve horizontal scaling."

"The customer support is hard to reach, with Microsoft’s technical support being difficult to get in touch with."

"The product has many features that might not be explored by many end users because there isn't much technical guidance available."

"Microsoft could improve its documentation and support."

"I think Microsoft Azure SQL Database should be cheaper. The license is expensive, but not always; it depends on the case regarding pricing and licensing."

"We've had many concurrency issues with it, particularly with applications that do a lot of parallel processing."

"Its price could be better. It is expensive. I am not sure if Microsoft Master Data Services is included in this. If not, Master Data Services can be integrated with Azure SQL. I have only used Master Data Services on-premises."

"I haven't explored SQL Azure's features much, but I would like to see some better integration with Python."

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

More Microsoft Azure SQL Database cons

Pricing and Cost Advice

"It is expensive."

"Google Cloud Spanner is an expensive solution."

"The solution is expensive."

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

"The price in general of Azure SQL could improve."

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

"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."

"SQL Azure's licensing cost is expensive."

"When you go with SQL Azure Database, you can create a small database, which is around $4 to $5 per month for development purposes."

"When looking at the long-term expenses associated with running software on an on-premises server, the costs are almost equivalent but when we include insurance for devices, onsite fees for servers, and other related costs, we may find that this is a cost-effective solution."

"The solution is moderately expensive."

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

19%

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...

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.

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 ...

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...

Oracle Database as a Service vs Google Cloud Spanner

Comparisons

Compared 16% of the time

Yugabyte Platform vs Google Cloud Spanner

Compared 13% of the time

Amazon RDS vs Google Cloud Spanner

Compared 10% 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 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

Database as a Service (DBaaS)

Download Google Cloud Spanner product report

Microsoft Azure SQL Database

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

Google Cloud Spanner vs. Microsoft Azure SQL Database