Amazon Aurora vs Google Cloud SQL comparison

Amazon Web Services (AWS) and Google are both solutions in the Relational Databases Tools category. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon Aurora

Read 20 Amazon Aurora reviews

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1,497 Comparison Views

100% willing to recommend

Google Cloud SQL

Read 23 Google Cloud SQL reviews

100% willing to recommend

Amazon Aurora

Google Cloud SQL

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Executive Summary

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

Find out in this report how the two Relational Databases Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Amazon Aurora vs. Google Cloud SQL Report (Updated: December 2025).

Buyer's Guide

Amazon Aurora vs. Google Cloud SQL

December 2025

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Helped 879,310 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

Amazon Aurora

Ranking in Database Management Systems (DBMS)

5th

Average Rating

8.4

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Relational Databases Tools (8th)

Google Cloud SQL

Ranking in Database Management Systems (DBMS)

9th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (6th)

Featured Reviews

Satheesh Papisetty

Digital Services & Engagement Senior Manager at AXA

High availability and operational efficiency achieved with reliable managed services

We have primarily used Amazon Aurora for handling our databases. We migrated from PostgreSQL to Amazon Aurora about a year ago. It serves as a customized PostgreSQL database that we utilize Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our…

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Prathap Sankar

Analytics Delivery Manager at Tredence Inc.

Gain control and flexibility with customizable tools but has slower performance

I am majorly working in Google Cloud SQL for building my applications 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. The deployment model allows for…

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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

"Amazon Aurora is built on community databases and AWS has added additional features to it, allowing customers to have enterprise-level features at a lower cost."

"The most valuable features of Amazon Aurora include the global instance with the global writer endpoint, which allows failovers and instance switches without requiring changes in my code, thanks to the default global Route 53 endpoint."

"One of the most valuable features is storage scaling."

"Amazon Aurora stands out for its ease of use in a managed environment, inbuilt security, continuous backups, numerous read replicas, multi-region automated replication, and seamless integration with other AWS services."

"Aurora's compatibility with MySQL or PostgreSQL benefited our database management. The migration from on-premise MySQL to Aurora was similar, so we didn't need to change our source code."

"The most valuable feature of Amazon Aurora is SQL standardization, it doesn't have its own syntax which is good. It has a lot of hands-off self-management type of activities, such as log rolling and auto-scaling."

"One of the standout features of Amazon Aurora is that we do not need to maintain disaster recovery or manage availability zones."

"The most valuable feature is that the maintainability is offloaded to the service provider. I don't have to maintain a database or do any administrative tasks, which comes in handy."

More Amazon Aurora pros

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

"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."

"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."

"The initial setup is straightforward."

"My suggestion to anyone thinking about this solution is to jump into it head-first!"

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

"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."

"The product is scalable."

More Google Cloud SQL pros

Cons

"In Oracle, tools like Veridata allow for comparing databases and certifying data accuracy, even offering repair capabilities, which are missing in Aurora. There should be a similar comparison tool in Aurora."

"There are tuning challenges."

"While Amazon Aurora meets your current scaling and storage needs, there is room for improvement in cryptography and scalability compared to other databases."

"Room for improvement might be in the UI, integrations, or data working capabilities for better user experience."

"The product's distributed query process for MySQL needs improvement."

"I would like to see performance insights on the database based on the queries. Currently, we use SolarWinds as the monitoring tool. I would like to leverage SolarWinds’ performance insights in AWS services. SolarWinds gives larger insights when we run performance issues."

"I would like to see more AI-related features in future releases."

"A challenge I noticed is during migration from PostgreSQL RDS to Amazon Aurora. There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly."

More Amazon Aurora cons

"Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive."

"The purging of the data could be better."

"For data analysis, the AI area of the product has certain shortcomings where improvements are required."

"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."

"I am yet to explore a lot of features that are present in this solution. However, it would be good if more documentation is available for this solution. This would help us in preparing for the certification exam and understand it better. Currently, we don't have much documentation. We do the labs for 20 or 25 minutes, but we can't capture and download anything."

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

"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."

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

More Google Cloud SQL cons

Pricing and Cost Advice

"It is quite expensive."

"The price could be lower compared to its competitors."

"There is no need to buy a license for the product. We can pay as per the use case."

"I would rate the pricing a six out of ten, with ten being expensive."

"It is an expensive solution."

"The tool’s pricing depends on the instance type. For cost optimization purposes, we use the result instance category."

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

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

"The solution is affordable."

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

"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."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

13%

Manufacturing Company

University

Financial Services Firm

14%

Computer Software Company

13%

Educational Organization

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	4
Large Enterprise	13

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 Aurora?

Aurora's compatibility with MySQL or PostgreSQL benefited our database management. The migration from on-premise MySQL to Aurora was similar, so we didn't need to change our source code.

See all answers

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

The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper. However, when you manage the administration more closely, you can control costs better with Amazon Aurora. ...

See all answers

What needs improvement with Amazon Aurora?

I would like to see some tutorials from Amazon for Aurora because I'm too new to it. I believe Amazon can make more tutorials for the product since there's a lot of reading required, and a short tu...

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, 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

Comparisons

SQL Server vs Amazon Aurora

Compared 14% of the time

Oracle Database vs Amazon Aurora

Compared 14% of the time

YugabyteDB vs Amazon Aurora

Compared 10% of the time

MariaDB vs Amazon Aurora

Compared 9% of the time

CockroachDB vs Amazon Aurora

Compared 8% of the time

More Amazon Aurora Competitors

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 32% of the time

Amazon RDS vs Google Cloud SQL

Compared 29% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 16% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 6% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 5% of the time

More Google Cloud SQL Competitors

Product Reports

Buyer's Guide

Amazon Aurora

December 2025

Download Amazon Aurora product report

Buyer's Guide

Google Cloud SQL

December 2025

Download Google Cloud SQL product report

Overview

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.

Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.

Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).

Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.

Amazon Web Services (AWS)

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

Dow Jones, Arizona State University, Verizon, Capital One, United Nations, Nielsen, Autodesk, Fanduel

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

Buyer's Guide

Amazon Aurora vs. Google Cloud SQL

December 2025

Free Report: Amazon Aurora vs. Google Cloud SQL

Find out what your peers are saying about Amazon Aurora vs. Google Cloud SQL and other solutions. Updated: December 2025.

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