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Amazon RDS vs Google Cloud SQL vs Microsoft Azure SQL Database comparison

 

Comparison Buyer's Guide

Executive Summary

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 October 2025, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 19.1%, down from 25.2% compared to the previous year. The mindshare of Google Cloud SQL is 10.7%, down from 17.4% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 13.0%, down from 17.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
Amazon RDS19.1%
Microsoft Azure SQL Database13.0%
Google Cloud SQL10.7%
Other57.2%
Database as a Service (DBaaS)
 

Featured Reviews

Samuel Ebite - PeerSpot reviewer
Ensure high availability with robust encryption and seamless backups
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. The best practices we've employed with RDS help design a well-architected framework, encompassing security, encryption, scalability with multi-availability zone deployment, and operational excellence with automated backups. RDS features, such as reserved instances, storage auto-scaling, monitoring with technologies like CloudWatch, and proxies, contribute to cost optimization. The solution enhances security with IAM authentication and offers high availability to end users.
Prathap Sankar - PeerSpot reviewer
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…
Charley Hanania - PeerSpot reviewer
It is very easy to implement, manage, and offers great insights into what is happening inside the engine
Microsoft Azure SQL Database is integrated into other Azure capabilities and has a great foundation being on SQL Server with a long history of security, performance, and usability from a DBA perspective. Once you've set up a server, adding databases is easy. There's a minor challenge with having data in separate databases that you want to connect like we do on premises. I'm looking forward to using some of these new AI-driven functions that have come out around vectorization. Having the data closer to my transactional databases or data makes it easy to augment and enhance the Database and applications I currently use. It's great that Azure SQL now seamlessly integrates with Microsoft Fabric. It's a first-tier service in the cloud that connects to web applications and other databases. The data transformation orchestration capabilities within Database Factory and similar capabilities make it effortless to move that stuff forward.

Quotes from Members

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

Pros

"The most valuable aspect of Amazon RDS is it is on the cloud."
"Being able to change the size of an RDS MySQL instance is amazing."
"I found it to be a stable solution."
"For me, RDS is a great solution. I like that Amazon RDS is a very simple solution to implement and to start using."
"I use Amazon RDS to store and manage data securely. It helps me retrieve information and gain insights from the data that comes in for my business or specific applications."
"The Amazon RDS features I found most valuable are snapshots and automatic backups."
"The most valuable feature of Amazon RDS is its performance."
"It is very easy to set up initially."
"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."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."
"It supports different databases, like Postgres and MySQL."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"The most valuable feature for us is the Postgres on Google Cloud SQL since it supports most of the features we need."
"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."
"The ease of provisioning and administration is most valuable."
"We primarily and generally use it only for DB purposes. When it comes to the Azure part, we can easily provision, scale up, and scale down the generator machine. This kind of flexibility is the USP of SQL Azure. Its interface and ease of use are also valuable. It is very easy to use and integrate with multiple databases. If I need to pull in or import some data from my on-premises database, the ease with which you can connect and pull the data, not only from SQL Server but also from other flavors of MySQL or even Oracle, is very good."
"The stability is good and the performance is fantastic. Even when we try to do an inquiry into issues we can do it easily."
"Microsoft Azure SQL Database scales well, allowing us to increase our compute level or add more instances as required."
"They have good documentation. It's concentrated information."
"The initial setup was straightforward. We did not migrate from an existing system but implemented it from scratch and did not require Microsoft support. We were building Power Platform apps using SharePoint databases and Excel. And after that, we realized that we had to integrate it with SQL. It wasn't too hard, and our partners have people with experience."
"The product is easy to set up."
"The solution is efficient and easy to use."
 

Cons

"There are a few aspects of database management that have room for improvement. There are a few parameters in the solution that are a bit unclear at our end as it's not understandable."
"The product must add more older versions of the database engines."
"It would be better if it integrated seamlessly with Microsoft products. Our clients use the Microsoft Tally application server. We already tried to create a reputation from, for example, an on-premises environment from our client to Amazon RDS using Microsoft Tally server, and we couldn't do that because we didn't have a strong user in RDS. We couldn't create a reputation from an on-premises environment from the Microsoft Tally server to RDS. I think that it would be a good implementation, and it would help us with this case."
"The backup and restore processes take more time compared to other providers. For instance, if DigitalOcean takes two minutes to restore or create a backup, AWS will take 2 to 3 minutes."
"I would like to see improvements in the tool's automatic restart."
"With my limited experience, I have noticed that documentation management could be improved. It could be better."
"There are some use cases that might come up where we would want to understand the performance aspects better."
"The solution is a bit expensive."
"In the case of Google, they need to work on a more easy interface for users."
"The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"The monitoring part could be better."
"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."
"Google Cloud SQL needs to improve its support for high-end I/O operations."
"I would like to see better integration with all the different tools on the platform."
"SQL Azure's performance monitoring features need to be improved. It has a pricing calculator, but it would be great if we could get a rough estimate of the pricing based on fewer parameters, like the data size and the scale of the company."
"Its automation can be improved. SQL Server Agent was a very big part of the on-prem tools. While moving from on-prem to the cloud, redoing some of such tools was very cumbersome in Azure. There was a whole new set of technologies and methodologies. It should have easier automation-type features to be able to implement such tools. It should have almost a SQL agent type of substance built into that."
"The configuration is the area that is most cumbersome."
"Azure SQL had a bit of a learning curve to start, but it was fairly simple once I understood how to develop it. I was using PowerShell to connect to it, and I've never connected to online databases through Azure using PowerShell. Scripting the PowerShell connections could be simpler. The coding is familiar, but figuring out how to use it initially can be easier."
"Microsoft Azure SQL Database could be improved by offering an easier way to view all existing roles in the database without needing complex queries found online."
"There isn't any new improvement that I can think of at the moment. We have different deployment choices, such as running SQL on an Azure VM or deploying SQL-managed instances. The managed instance is a significant improvement over running SQL in an Azure VM."
"There are compatibility issues that prevent Azure SQL Database from being a direct replacement for SQL Server running on a virtual machine."
"I need something which is in one place so I can automate the Azure data factory, but it's a different tool. It's not easy and in one place, so I can't switch to the other tool and do something there, automate everything there in the on-prem infrastructure, and then have everything in the agent. I can just pick one packet and use it. However, I want to be able to click it and run it."
 

Pricing and Cost Advice

"Amazon RDS is less expensive than other solutions."
"We are paying for a service license."
"if you don't know how to optimize and use your tool properly, the cost might hurt you."
"The price could be better."
"The platform pricing is on the higher side, but given its capabilities and ease of use, it remains competitive."
"AWS is becoming pretty expensive because cheap or absolutely free services have become paid services. Amazon RDS is not an expensive product, but Amazon's ecosystem is becoming increasingly expensive."
"Amazon RDS is an expensive solution."
"The solution's price is good."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"It is not expensive, especially considering the significant reduction in database management time."
"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."
"You need to pay extra costs for backup and replication."
"The solution is affordable."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"The license is based on the number of users."
"I would like it to be cheaper, but comparatively, it is reasonably priced."
"It's reasonably priced and when you compare it with other products in the cloud environment, it's cheaper."
"SQL Azure is an expensive solution."
"Microsoft services are costly, which is the only problem we face. So, pricing is an area of improvement."
"I would rate the pricing a seven out of ten."
"You can use it for smaller instances and pay less. You can also go for the premium product with all the security, scalability, and business continuity features, but you have to pay a premium amount."
"With one being expensive and five being competitive, I would give the product a four out of five as it's relatively competitive. It is also important to note that pricing is based on usage."
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Top Industries

By visitors reading reviews
Computer Software Company
13%
Financial Services Firm
13%
University
7%
Manufacturing Company
7%
Financial Services Firm
15%
Computer Software Company
12%
Educational Organization
8%
Comms Service Provider
7%
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
8%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business22
Midsize Enterprise14
Large Enterprise23
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise4
Large Enterprise9
By reviewers
Company SizeCount
Small Business55
Midsize Enterprise15
Large Enterprise50
 

Questions from the Community

What do you like most about Amazon RDS?
The product's installation phase is easy.
What needs improvement with Amazon RDS?
I don't really see any disadvantages of Amazon RDS. With Oracle, I think AWS doesn't provide the RAC stability. If yo...
What do you like most about Google Cloud SQL?
The implementation part of the product was easy.
What is your experience regarding pricing and costs for Google Cloud SQL?
The cost is expensive, especially for services like BigQuery, which charge based on query operations. We pay as we us...
What needs improvement with Google Cloud SQL?
Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities...
What do you like most about SQL Azure?
The automated scalability feature of SQL Azure has proven to be highly beneficial, particularly when deployed in the ...
What is your experience regarding pricing and costs for SQL Azure?
The pricing of Microsoft Azure SQL Database is not cheap, affecting user uptake. A gradual reduction in price could i...
What needs improvement with SQL Azure?
I have used the Microsoft Azure SQL Database for two years now, and I don't find it satisfactory. It's slow and expen...
 

Also Known As

RDS
No data available
No data available
 

Overview

 

Sample Customers

Edmodo
BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
adnymics GmbH, LG CNS, Centrebet, netfabb GmbH, MedPlast, Accelera Solutions, Sochi Organizing Committee, realzeit GmbH
Find out what your peers are saying about Amazon Web Services (AWS), Microsoft, MongoDB and others in Database as a Service (DBaaS). Updated: September 2025.
868,654 professionals have used our research since 2012.