Amazon Aurora vs Google Cloud SQL comparison

Amazon Web Services (AWS) and Google are both solutions in the Relational Databases Tools category. Amazon Web Services (AWS) is ranked #7 with an average rating of 8.6, while Google is ranked #19 with an average rating of 7.9. Amazon Web Services (AWS) holds a 3.2% mindshare in SQL, compared to Google’s 1.0% mindshare. 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

1,856 Views
1,782 Comparison Views

100% willing to recommend

Google Cloud SQL

Read 23 Google Cloud SQL reviews

2,280 Views
730 Comparison Views

100% willing to recommend

Amazon Aurora

Google Cloud SQL

Comparison Buyer's Guide

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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: March 2026).

Buyer's Guide

Amazon Aurora vs. Google Cloud SQL

March 2026

Download the complete report

Helped 884,797 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 Relational Databases Tools

7th

Ranking in Database Management Systems (DBMS)

6th

Average Rating

8.4

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud SQL

Ranking in Relational Databases Tools

19th

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)

Mindshare comparison

As of March 2026, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 3.2%, up from 3.2% compared to the previous year. The mindshare of Google Cloud SQL is 1.0%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Amazon Aurora	3.2%
Google Cloud SQL	1.0%
Other	95.8%

Relational Databases Tools

Featured Reviews

Adnan Shafiq

Associate Vice President - Database Management (Principal Solutions Architect) at Northbay

High availability and geographical redundancy ensure reliable performance and cost efficiency

Amazon Aurora provides up to fifteen to sixteen read replicas. It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR. As a managed service, maintenance tasks like backup and restore are handled by AWS, saving my organization significant time and money. Additionally, its fast cloning feature allows us to create a new clone from a large database swiftly, similar to a zero-copy cloning feature in Snowflake. This makes Amazon Aurora a compelling choice for my organization.

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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…

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

"The solution’s scalability is good since we don’t need to take a maintenance window during unpredictable workloads. I like the solution’s behind-the-scenes happenings. It is a great feature."

"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 most valuable features is storage scaling."

"The provision of custom read and write endpoints eliminates the need for managing a separate proxy load balancer."

"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."

"They now offer some really good scaling and limitless versions that are available to me, which I find very impressive."

"The migration process to Amazon Aurora is the best part; it's one of its key strengths, as we hardly had any hiccups during migration, which was very smooth and pretty straightforward given our data was mostly in English."

"Amazon Aurora's best features are about scaling up and scaling down, which is perfect."

More Amazon Aurora pros

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

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

"The deployment model allows for significant control and flexibility."

"The most valuable features are that it's easy to use, simple, and user-friendly."

"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."

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

"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."

More Google Cloud SQL pros

Cons

"It would have been helpful if they had provided some benchmarking numbers."

"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."

"It is a bit costly. The features are quite good, and I wouldn't say it requires any technical improvements. But from a cost perspective, some clients wouldn't go for Aurora because of that."

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

"The pricing could improve. It should be reduced."

"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."

"There are tuning challenges."

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

More Amazon Aurora cons

"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'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."

"I would like to see better availability of the product in different regions. It should also improve the security with encryption."

"I would like to see better integration with all the different tools on the platform."

"Google Cloud SQL needs to improve its support for high-end I/O operations."

"The only thing that could be better is the pricing."

"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."

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

More Google Cloud SQL cons

Pricing and Cost Advice

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

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

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

"It is quite expensive."

"It is an expensive solution."

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

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

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

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

"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."

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

"The solution is affordable."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

11%

University

Retailer

Financial Services Firm

14%

Computer Software Company

10%

University

Educational Organization

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 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 is your primary use case for Amazon Aurora?

The migration process to Amazon Aurora is the best part; it's one of its key strengths, as we hardly had any hiccups during migration, which was very smooth and pretty straightforward given our dat...

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

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

YugabyteDB vs Amazon Aurora

Compared 16% of the time

Oracle Database vs Amazon Aurora

Compared 13% of the time

SQL Server vs Amazon Aurora

Compared 11% of the time

CockroachDB vs Amazon Aurora

Compared 9% of the time

Amazon RDS on Outposts vs Amazon Aurora

Compared 4% of the time

More Amazon Aurora Competitors

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 24% of the time

Amazon RDS vs Google Cloud SQL

Compared 23% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 15% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 5% 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 Aurora

March 2026

Download Amazon Aurora product report

Buyer's Guide

Google Cloud SQL

March 2026

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

March 2026

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: March 2026.

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