Amazon RDS vs Google Cloud SQL vs Google Cloud Spanner comparison

Amazon Web Services (AWS) and Google are both solutions in the Database as a Service (DBaaS) category. Amazon Web Services (AWS) is ranked #2 with an average rating of 8.4, while Google is ranked #8 with an average rating of 10.0. Amazon Web Services (AWS) holds a 13.5% mindshare in DS, compared to Google’s 7.2% mindshare. Additionally, 98% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon RDS

Read 58 Amazon RDS reviews

3,802 Views
3,650 Comparison Views

98% willing to recommend

Google Cloud Spanner

Read 5 Google Cloud Spanner reviews

1,281 Views
1,217 Comparison Views

100% willing to recommend

Google Cloud SQL

Read 23 Google Cloud SQL reviews

2,134 Views
2,070 Comparison Views

100% willing to recommend

Amazon RDS

Google Cloud Spanner

Google Cloud SQL

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Executive Summary

We performed a comparison between Amazon RDS, Google Cloud SQL, and Google Cloud Spanner based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), MongoDB and others in Database as a Service (DBaaS).

To learn more, read our detailed Database as a Service (DBaaS) Report (Updated: January 2026).

Buyer's Guide

Database as a Service (DBaaS)

January 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:

Mindshare comparison

As of February 2026, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 13.5%, down from 25.4% compared to the previous year. The mindshare of Google Cloud Spanner is 7.2%, up from 4.0% compared to the previous year. The mindshare of Google Cloud SQL is 7.8%, down from 16.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Market Share Distribution
Product	Market Share (%)
Amazon RDS	13.5%
Google Cloud SQL	7.8%
Google Cloud Spanner	7.2%
Other	71.5%

Database as a Service (DBaaS)

Featured Reviews

reviewer2592669

Director Software Engineer at a computer software company with 10,001+ employees

Positive experiences with database services, with minor room for feature enhancements observed

I don't really see any disadvantages of Amazon RDS. With Oracle, I think AWS doesn't provide the RAC stability. If you have Oracle installed in your own data centers, you can set up various clusters and we can set up the RACs, but in Amazon RDS, we cannot have the RAC feature of Oracle. They could add that feature. Amazon RDS has limitations regarding RAC. If we talk about installing Oracle in RDS, we cannot have the RAC, but if you deploy Oracle on GCP, then there is probably the RAC feature available. I observed that around two or three years back, but I'm not sure whether they have added the RAC feature in AWS. Amazon RDS is expensive compared to GCP. GCP also has the same features, and although it is quite extensive and feature-rich, I see Amazon RDS as slightly expensive compared to other clouds.

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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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Victor Danso

Database Engineer at Springer Nature

Migration to cloud eases management but needs better support for high I/O operations

Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities perform better, as Google Cloud SQL takes more time to handle the same tasks. There is also difficulty in changing the time zone after the database is set up. Moreover, some features available in MSSQL on-prem are missing on Google Cloud SQL, affecting migration potential.

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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

"The product's installation phase is easy."

"It is stable, scalable, and easy to deploy."

"The most valuable feature of Amazon RDS is its performance."

"The tool is very easy to use and configure."

"It's a fully managed database, so that makes our life easier from the operational standpoint. That is the key, basically."

"It is very easy to set up initially."

"The most valuable features of the solution stem from the fact that it requires an easy setup phase, and it is also easy to use while not being too heavy on its users."

"Amazon RDS provides data encryption using services like KMS, crucial for securing high-sensitive data and meeting compliance requirements such as HIPAA or PCI DSS."

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

"Google Cloud Spanner is stable."

"It is a very scalable solution."

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

"Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed."

"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."

"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."

"The setup was straightforward. Just a couple of clicks, and we were done."

"The product is scalable."

"The initial setup is straightforward."

"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."

"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."

More Google Cloud SQL pros

Cons

"The solution could improve by adding a sandbox environment and more security."

"I like using Amazon RDS because it offers quick operations for me. However, there are times when understanding how to use some of the services can be challenging, even with documentation. If I could add a feature, I'd improve navigation for related services."

"The solution could improve the administration tools."

"One of the challenges of AWS RDS is that it doesn't support performance insight. So we need to write our own script or use third-party tools."

"Sometimes the interface has many moving parts, which is a concern."

"Amazon RDS needs to have an overall dashboard where I can view all the tables in the form of pie charts and Gantt charts. The deployment is complex, and we would like to see automated scripts. It needs to incorporate performance insights."

"The only thing that needs improvement would be the pricing of the solution."

"The product should support new databases."

More Amazon RDS cons

"The tool lacks to offer AI features."

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

"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."

"The tool needs to improve horizontal scaling."

"The monitoring part could be better."

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

"Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities perform better, as Google Cloud SQL takes more time to handle the same tasks."

"The purging of the data could be better."

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."

"The performance compared to AWS is not as fast, and the technical support could be better as they don't have a dedicated team, but mostly AI handles the support now."

"The overall documentation and the connectors need improvement."

"The product's user interface could be more user-friendly to improve the overall user experience."

More Google Cloud SQL cons

Pricing and Cost Advice

"It is less expensive than SQL Server. We pay based on the usage on a monthly basis."

"The solution's pricing needs improvement."

"Amazon RDS could improve by reducing the price."

"The cost is manageable because you can see the expense associated with each instance and utilize tools for tagging and cost control."

"The price of Amazon RDS is reasonable."

"I would rate the tool's pricing an eight out of ten."

"The platform pricing is on the higher side, but given its capabilities and ease of use, it remains competitive."

"The price of Amazon RDS is expensive."

More Amazon RDS pricing and cost advice

"Google Cloud Spanner is an expensive solution."

"It is expensive."

"The solution is expensive."

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

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

"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."

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

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

"The solution is affordable."

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

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Top Industries

By visitors reading reviews

Computer Software Company

11%

Financial Services Firm

10%

University

Healthcare Company

Financial Services Firm

20%

Computer Software Company

12%

Healthcare Company

10%

Media Company

Financial Services Firm

14%

Computer Software Company

11%

Educational Organization

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	22
Midsize Enterprise	15
Large Enterprise	23

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	9

Questions from the Community

What do you like most about Amazon RDS?

The product's installation phase is easy.

See all answers

What is your experience regarding pricing and costs for Amazon RDS?

The pricing for Amazon RDS is reasonable.

See all answers

What needs improvement with Amazon RDS?

Currently, I cannot think of any major improvements. Perhaps more platforms in terms of database engine versions woul...

See all answers

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 ...

See all answers

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...

See all answers

What needs improvement with Google Cloud Spanner?

The tool lacks to offer AI features. In the future, I would like the product to offer AI features to users. Nowadays,...

See all answers

What do you like most about Google Cloud SQL?

The implementation part of the product was easy.

See all answers

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, s...

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 us...

See all answers

Comparisons

MongoDB Atlas vs Amazon RDS

Compared 19% of the time

Microsoft Azure SQL Database vs Amazon RDS

Compared 13% of the time

Oracle Database as a Service vs Amazon RDS

Compared 10% of the time

Oracle Exadata Cloud at Customer vs Amazon RDS

Compared 5% of the time

Yugabyte Cloud vs Amazon RDS

Compared 4% of the time

More Amazon RDS Competitors

Oracle Database as a Service vs Google Cloud Spanner

Compared 20% of the time

Yugabyte Platform vs Google Cloud Spanner

Compared 15% of the time

MongoDB Atlas vs Google Cloud Spanner

Compared 15% of the time

Microsoft Azure Cosmos DB vs Google Cloud Spanner

Compared 8% 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 30% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 14% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 5% of the time

Oracle Exadata Cloud at Customer vs Google Cloud SQL

Compared 4% of the time

IBM Db2 on Cloud vs Google Cloud SQL

Compared 4% of the time

More Google Cloud SQL Competitors

Product Reports

Buyer's Guide

Amazon RDS

January 2026

Download Amazon RDS product report

Buyer's Guide

Database as a Service (DBaaS)

January 2026

Download Google Cloud Spanner product report

Buyer's Guide

Google Cloud SQL

January 2026

Download Google Cloud SQL product report

Also Known As

RDS

Google Spanner

No data available

Overview

Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizeable capacity for an industry-standard relational database and manages common database administration tasks.

Amazon Web Services (AWS)

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

Edmodo

Streak, Optiva, Mixpanel

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

Buyer's Guide

Database as a Service (DBaaS)

January 2026

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