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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 May 2025, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 24.7%, down from 27.7% compared to the previous year. The mindshare of Google Cloud SQL is 16.2%, down from 18.3% compared to the previous year. The mindshare of Microsoft Azure SQL Database is 15.9%, down from 18.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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 solution’s scalability, usability, and availability are valuable to us."
"Amazon RDS is a scalable solution."
"The most valuable feature of Amazon RDS is its performance."
"Amazon RDS gives us the ability to select as many tools, replicas, regions, and zones as we want."
"It significantly reduces database management overhead."
"It offers an easy-to-use interface that allows me to monitor instances and update necessary features conveniently."
"The initial setup is straightforward, and technical support is good."
"Amazon RDS fulfills PCI requirements, which is a valuable feature for us."
"It supports different databases, like Postgres and MySQL."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"The product is scalable."
"Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."
"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 implementation part of the product was easy."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"The main advantage of it is that there is no infrastructure cost. We don't have to host it here. So, there is no infrastructure cost."
"Its technical support team is good."
"Microsoft's expertise in SQL Server is a significant advantage."
"The ability to maintain different environments, such as development and production databases, is valuable."
"The dashboard is valuable."
"Since SQL Azure is a stable solution, you do not need to spend time to maintain it."
"SQL Server's ability to automate data processing and validation through virtual agents and integration with other Microsoft applications like Power Virtual Agents and Azure SQL has dramatically improved efficiency."
"It's the type of product that doesn't need much technical support assistance as it works seamlessly."
 

Cons

"If Amazon RDS can be provided as a service platform, it would be beneficial for years. Instead of focusing on infrastructure, they can assist backend engineers and those with varying technical expertise in utilizing it effectively. It would be helpful if Amazon could provide a more predictable pricing strategy."
"I feel Amazon RDS should have a lot of functionalities to make monitoring within the database easier."
"The product's high price is an area of concern where improvements are required."
"It would be helpful if they made it easier to migrate from an existing on-premises solution to the cloud-based service."
"Amazon RDS could improve by having more sophisticated. I use other solutions that have better technology for more difficult tasks."
"If we do not keep track of our costs, we might face some problems."
"I would like to see improvements in the tool's automatic restart."
"They could provide better integration for the solution with Microsoft products."
"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 still needs better connectivity to outside, existing data sources."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use."
"In the case of Google, they need to work on a more easy interface for users."
"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."
"I would like to see better integration with all the different tools on the platform."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."
"The solution could be less expensive. They need to work on their pricing model."
"It can have more dashboards for monitoring, which would naturally help a lot. Other than that, everything is okay."
"There is a need for dynamic scaling support without losing current transactions. That should be part of the standard offering to SKUs."
"A potential area for improvement could be integrating with third-party clouds."
"Lacking in technical documentation."
"They should include more accessible functions for image tooling."
"Azure SQL had a bit of a learning curve to start, but it was fairly simple once I understood how to develop it."
"There is a need for dynamic scaling support without losing current transactions. That should be part of the standard offering to SKUs. It doesn't have Auto SQL. We have HyperSQL, but there are limitations on the Elastic Pool. It only allows 25 databases. It would help if we could automatically analyze and optimize long-running queries instead of handling these tasks manually."
 

Pricing and Cost Advice

"By using a combination of Reserve Instances and On-Demand pricing, you can reduce the cost."
"The solution's price is good."
"The platform pricing is on the higher side, but given its capabilities and ease of use, it remains competitive."
"We are paying for a service license."
"It is less expensive than SQL Server. We pay based on the usage on a monthly basis."
"if you don't know how to optimize and use your tool properly, the cost might hurt you."
"The price of Amazon RDS is reasonable."
"The price of Amazon RDS is expensive."
"The solution is affordable."
"The pricing is very much an important factor as to why we use this solution."
"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."
"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."
"Its price can definitely be lower. It is pretty pricey."
"We have the licensing fee, and we are also paying a third party to maintain it with an SLA. There is no infrastructure cost, but its running costs are higher than expected. There is the cost of the Azure cloud, which is pricier than expected, but it is not specific to SQL Azure. It is specific to the cloud. You expect it to be cheaper, but it is more expensive to run it."
"I believe the licensing is more on a global scale."
"I recommend considering a pay-as-you-go pricing model initially."
"The price in general of Azure SQL could improve."
"The price of the solution is reasonable."
"The solution is expensive."
"It is expensive. Snowflake and PostgreSQL are cheaper than this. Google is also cheaper than Azure. Its licensing is on a pay-as-you-go basis. It is based on usage and storage."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
14%
University
6%
Manufacturing Company
6%
Financial Services Firm
15%
Computer Software Company
13%
University
8%
Retailer
8%
Educational Organization
72%
Computer Software Company
5%
Financial Services Firm
4%
Manufacturing Company
2%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
One key improvement would be adding support for multi-storage paradigms, including columnar support, as seen in TiDB....
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?
Pricing could be improved to make Microsoft Azure SQL Database ( /products/microsoft-azure-sql-database-reviews ) mor...
 

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 Microsoft, Amazon Web Services (AWS), MongoDB and others in Database as a Service (DBaaS). Updated: March 2025.
850,028 professionals have used our research since 2012.