Google Cloud SQL vs Google Cloud Spanner comparison

Google Cloud Spanner and Google Cloud SQL are both solutions in the Database as a Service (DBaaS) category. Google Cloud Spanner is ranked #8 with an average rating of 10.0, while Google Cloud SQL is ranked #6 with an average rating of 7.9. Google Cloud Spanner holds a 7.8% mindshare in DS, compared to Google Cloud SQL’s 7.6% mindshare. Additionally, 100% of Google Cloud Spanner users are willing to recommend the solution, compared to 100% of Google Cloud SQL users who would recommend it.

Google Cloud Spanner

Read 5 Google Cloud Spanner reviews

1,449 Views
1,377 Comparison Views

100% willing to recommend

Google Cloud SQL

Read 24 Google Cloud SQL reviews

2,280 Views
2,189 Comparison Views

100% willing to recommend

Google Cloud Spanner

Google Cloud SQL

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Executive SummaryUpdated on Aug 12, 2024

Google Cloud SQL and Google Cloud Spanner are compared in database solutions for various attributes. Google Cloud Spanner generally has the upper hand in performance and scalability, while Google Cloud SQL is favored for ease of use and cost-effectiveness.

Features: Google Cloud SQL supports MySQL, PostgreSQL, and SQL Server, offering flexibility and integration. Google Cloud Spanner provides scalability, global distribution, and transactional consistency, making it suitable for large-scale applications.

Room for Improvement: Google Cloud SQL needs enhancements in performance at scale, backup functionalities, and higher availability. Google Cloud Spanner requires more straightforward configurations, a less steep learning curve, and streamlined setup processes.

Ease of Deployment and Customer Service: Google Cloud SQL stands out for its straightforward deployment and good customer support, making it accessible for smaller and mid-sized projects. Google Cloud Spanner, though more challenging to deploy, benefits from robust customer service to help manage its complexity.

Pricing and ROI: Google Cloud SQL is favored for lower setup costs and quicker initial return on investment, suitable for budget-conscious projects. Google Cloud Spanner, while more expensive upfront, offers superior long-term ROI for large-scale environments due to better performance and capabilities.

To learn more, read our detailed Google Cloud SQL vs. Google Cloud Spanner Report (Updated: March 2026).

Buyer's Guide

Google Cloud SQL vs. Google Cloud Spanner

March 2026

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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

Google Cloud SQL

Ranking in Database as a Service (DBaaS)

6th

Average Rating

8.2

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Relational Databases Tools (19th), Database Management Systems (DBMS) (9th)

Mindshare comparison

As of April 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud Spanner is 7.8%, up from 4.1% compared to the previous year. The mindshare of Google Cloud SQL is 7.6%, down from 16.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
Google Cloud SQL	7.6%
Google Cloud Spanner	7.8%
Other	84.6%

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.

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Rituraj NSIT

Sde 2 at a educational organization with 501-1,000 employees

Drag and drop workflows have simplified data mapping and currently improve my cloud database work

The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Google Cloud Spanner is stable."

"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."

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

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

"It is a very scalable solution."

"It directly provides robust data safety. It also offers various other storage options, such as Google Cloud Storage. These services ensure data security and redundancy. Furthermore, it includes different storage classes, allowing flexible data management tailored to specific needs."

"Its most valuable feature is that it's scalable; I can start off with a base of a lot of data and move as much as I want without a lot of infrastructure changes, so I can run a release model experiment on a thousand people and, if that experiment is a success, run it on a million people without any changes while keeping it much more cost-sensitive for me to do it."

"I found its storage and security to be the most valuable, it was a good experience, it is also very stable and scalable, and its support is perfect."

"The product is scalable."

"Google Cloud SQL is very easy to use and easy to set up; it brings the benefits of being simple to perform queries, store data that I needed to store, and extract data when I needed to extract it quite quickly, without having to set up a full database and queries around it."

"This is a stable solution and offers good performance."

"They have good multi-region failure support, and we can just set up there and read replicas directly and we can fall back."

"It supports different databases, like Postgres and MySQL."

More Google Cloud SQL pros

Cons

"The tool lacks to offer AI features."

"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."

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

"The cost can be a bit high."

"The monitoring part could be better."

"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."

"The customer support should be improved."

"Google Cloud SQL still needs better connectivity to outside, existing data sources."

"The only room for improvement here is that they need to connect to more existing data sources so that it becomes easier for a layman to get a more realistic understanding of what's happening."

"When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise."

"The overall documentation and the connectors need improvement."

"In the case of Google, they need to work on a more easy interface for users."

More Google Cloud SQL cons

Pricing and Cost Advice

"The solution is expensive."

"Google Cloud Spanner is an expensive solution."

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

"It is expensive."

"It is not expensive, especially considering the significant reduction in database management time."

"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."

"You need to pay extra costs for backup and replication."

"From a financial perspective, Google Cloud SQL is on the cheaper side."

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."

"The pricing is very much an important factor as to why we use this solution."

"The solution is affordable."

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

11%

Healthcare Company

Media Company

Financial Services Firm

12%

Computer Software Company

10%

University

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	10

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...

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What is your experience regarding pricing and costs for Google Cloud Spanner?

Price-wise, I heard that Google Cloud Spanner is on the higher side. I am not sure if this is a rumor or if it's fake news, but I believe that having BigQuery and GCP together could be a little cos...

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What needs improvement with Google Cloud Spanner?

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What is your experience regarding pricing and costs for Google Cloud SQL?

We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.

See all answers

What needs improvement with Google Cloud SQL?

Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive. From a user perspective, if Google Cloud SQL integrated AI directly into the query so tha...

See all answers

What is your primary use case for Google Cloud SQL?

I have been using Google Cloud SQL for two or three years since I started.

See all answers

Comparisons

Oracle Database as a Service vs Google Cloud Spanner

Compared 22% of the time

Yugabyte Platform vs Google Cloud Spanner

Compared 15% of the time

MongoDB Atlas vs Google Cloud Spanner

Compared 13% of the time

Yugabyte Cloud vs Google Cloud Spanner

Compared 10% of the time

Oracle Exadata Cloud at Customer vs Google Cloud Spanner

Compared 4% of the time

More Google Cloud Spanner Competitors

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 23% of the time

Amazon RDS vs Google Cloud SQL

Compared 21% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 15% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 5% of the time

Amazon Aurora vs Google Cloud SQL

Compared 4% of the time

More Google Cloud SQL Competitors

Product Reports

Buyer's Guide

Database as a Service (DBaaS)

March 2026

Download Google Cloud Spanner product report

Buyer's Guide

Google Cloud SQL

March 2026

Download Google Cloud SQL product report

Also Known As

Google Spanner

No data available

Overview

Cloud Spanner is the first and only relational database service that is both strongly consistent and horizontally scalable. With Cloud Spanner you enjoy all the traditional benefits of a relational database: ACID transactions, relational schemas (and schema changes without downtime), SQL queries, high performance, and high availability. But unlike any other relational database service, Cloud Spanner scales horizontally, to hundreds or thousands of servers, so it can handle the highest of transactional workloads. With automatic scaling, synchronous data replication, and node redundancy, Cloud Spanner delivers up to 99.999% (five 9s) of availability for your mission critical applications. In fact, Google’s internal Spanner service has been handling millions of queries per second from many Google services for years.

Google

Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.

Google

Sample Customers

Streak, Optiva, Mixpanel

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync

Buyer's Guide

Google Cloud SQL vs. Google Cloud Spanner

March 2026

Free Report: Google Cloud SQL vs. Google Cloud Spanner

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