Google Cloud SQL vs SQL Azure comparison


Comparison Buyer's Guide

Executive SummaryUpdated on Mar 6, 2024

Categories and Ranking

Google Cloud SQL
Ranking in Database as a Service
Average Rating
Number of Reviews
Ranking in other categories
No ranking in other categories
SQL Azure
Ranking in Database as a Service
Average Rating
Number of Reviews
Ranking in other categories
No ranking in other categories

Mindshare comparison

As of June 2024, in the Database as a Service category, the mindshare of Google Cloud SQL is 23.0%, up from 19.9% compared to the previous year. The mindshare of SQL Azure is 17.7%, down from 17.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service
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Featured Reviews

Feb 12, 2024
Enables us to track the data that we get from external sources
We are tracking because we have an integrated system. We have some integration with external third parties. We also track the data that we get from external sources. In Postgres, we can handle maybe ten million records per month. We use partitioning and healing features to manage this growth in data. Google Cloud SQL provides fast and very short transactions when modifying our data, using Postgres as our database system across multiple ports. It performs queries for data and handles purchases based on those queries. The scalability with Postgres is impressive. Currently, we are in a beta phase, utilizing three instances. There were issues with write and read instances. Also, there were delays in data synchronization between the write and read columns. When data is written to the write instance, it's not always immediately available in the read instance, causing a delay of up to 20 seconds. We have the right systems to manage the necessary operations. Sometimes, we have one instance for handling requests; at other times, we might have more than two instances. Querying the correct data is fast. However, read queries can be slower due to the large amount of data they need to process. We use additional processing power from more instances to accommodate the required scale. Google Cloud SQL is straightforward. The setup and configuration are easy, and managing the team is simple. We have one dedicated person per week to handle incidents or disturbances in the process and perform additional work. It's enough for maintenance and support. As data accumulates, it's crucial to devise a strategy for managing its volume, which involves using historical tables, archiving, or partitioning. These methods are all useful. As the data volume increases, query execution times can slow down. Therefore, it's imperative to implement an effective indexing strategy. By optimizing indexes, partitioning, and other techniques, queries can be executed more efficiently, even when querying on multiple parameters. There could be two or three read instances. The synchronization between the write and the read is very fast. There are multiple advantages to Google Cloud SQL. Firstly, it operates in the cloud, making it accessible from anywhere. Unlike competitors, Google Cloud SQL is fully integrated into the cloud environment. You can quickly scale your resources up or down according to your needs, growing or decreasing. This flexibility allows you to stay aligned with current demands while optimizing costs. Overall, I rate the solution a nine out of ten.
Jan 12, 2023
A solution with good uptime and multi-region features with a valuable dashboard
Our primary use case for the solution is for applications. We get many applications in the environment, and most applications use Microsoft SQL, Azure SQL, and DBs, and a few use Postgres SQL. So primarily, the focus is to connect with the DB team and have a specific expert in the SQL environment…

Quotes from Members

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


"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."
"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"The solution is easy to use. I am impressed with the tool's features and functionality."
"Ease of management and the ability to oversee the statistics of your SQL."
"The initial setup is straightforward."
"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"SQL Azure can integrate well with other Microsoft Windows services."
"SQL Azure is reliable and scales well."
"Their technical support is the most valuable."
"What I like the most is the processes and the easiness of deployments."
"The solution is quite straightforward to set up."
"The on-premise SQL Server licenses can be used since it is on Azure, so it's a significant savings for the customers."
"The solution is a fairly mature product. It provides good stability."
"The product's initial setup phase is very easy."


"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."
"The monitoring part could be better."
"It is hard to do logging with the solution."
"They could improve documentation and dashboard stability for efficient user experience and database management."
"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."
"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."
"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."
"We have a very small database running on SQL Azure. We have not been able to load bigger systems on it. It is still not something that is feasible. All our heavy-duty systems are on SAP, and it should have more compatibility with other vendors such as SAP. Its price can definitely be lower. It is pretty pricey."
"Its price could be better. It is expensive. I am not sure if Microsoft Master Data Services is included in this. If not, Master Data Services can be integrated with Azure SQL. I have only used Master Data Services on-premises."
"SQL Azure could improve the feature set. They are catching up to Microsoft SQL Server."
"There are certain shortcomings when it comes to the stability of the product, especially if I consider the fact that there can always be some bug-related issues in the tool."
"Its compatibility with existing applications can be improved. Its compatibility is currently a little bit imbalanced."
"What would make SQL Azure better is users having the capability of managing the database solution from the cloud, instead of having to do it from an actual machine because currently, database management via SQL Azure is done on a virtual machine or a PC. The solution should have the data functionality of managing SQL databases inside the cloud."
"Operational cost needs improvement."
"The management is entirely controlled by Microsoft, so there are some restrictions."

Pricing and Cost Advice

"You need to pay extra costs for backup and replication."
"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."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"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."
"The solution is affordable."
"I find that they are relatively expensive, especially when compared to AWS, where the prices are notably lower."
"I believe the licensing is more on a global scale."
"The solution is expensive."
"When you go with SQL Azure Database, you can create a small database, which is around $4 to $5 per month for development purposes."
"I'm not sure what the exact price is, but it's a moderate amount. It's not too expensive."
"It is reasonable."
"It requires a license. As compared to its competitors, such as Oracle, it is affordable and reasonable."
"The price in general of Azure SQL could improve."
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Top Industries

By visitors reading reviews
Financial Services Firm
Computer Software Company
Comms Service Provider
Educational Organization
Computer Software Company
Financial Services Firm

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business

Questions from the Community

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?
While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided.
What needs improvement with Google Cloud SQL?
They could improve documentation and dashboard stability for efficient user experience and database management.
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 cloud.
What is your experience regarding pricing and costs for SQL Azure?
I recommend considering a pay-as-you-go pricing model initially.
What needs improvement with SQL Azure?
The product's pricing needs improvement.

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Sample Customers

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 Google Cloud SQL vs. SQL Azure and other solutions. Updated: May 2024.
789,442 professionals have used our research since 2012.