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Azure Database for PostgreSQL vs Google Cloud SQL comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 18, 2026

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

Azure Database for PostgreSQL
Ranking in Database as a Service (DBaaS)
5th
Average Rating
8.8
Reviews Sentiment
6.3
Number of Reviews
23
Ranking in other categories
Open Source Databases (5th)
Google Cloud SQL
Ranking in Database as a Service (DBaaS)
6th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
23
Ranking in other categories
Relational Databases Tools (19th), Database Management Systems (DBMS) (9th)
 

Mindshare comparison

As of February 2026, in the Database as a Service (DBaaS) category, the mindshare of Azure Database for PostgreSQL is 3.3%, up from 0.5% compared to the previous year. The mindshare of Google Cloud SQL is 7.8%, down from 16.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
Azure Database for PostgreSQL3.3%
Google Cloud SQL7.8%
Other88.9%
Database as a Service (DBaaS)
 

Featured Reviews

Sathish Palanisamy - PeerSpot reviewer
Staff Data Engineer at a transportation company with 10,001+ employees
Improves database performance, supports AI integration, and accelerates customer-focused innovation
Azure Database for PostgreSQL can be improved in the area of elastic capabilities. One of the things we were actively looking for is the elastic feature, which was made a GA at this Ignite event. I am really happy that finally in Azure, we have a product which we can use for elastic clusters. If you are bound with a single server, then you have a vertical limit. Now you do not have any limits. As long as your use case grows, we can grow. The only thing I would maybe be thinking about is we should also allow customers to pick different node sizes for every node inside the elastic eventually. Some nodes do not need that big capacity. So that may be a nice-to-have feature, though it is not a must-have at this point.
VD
Database Engineer at Springer Nature
Migration to cloud eases management but needs better support for high I/O operations
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. There is also difficulty in changing the time zone after the database is set up. Moreover, some features available in MSSQL on-prem are missing on Google Cloud SQL, affecting migration potential.

Quotes from Members

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

Pros

"Azure Database has become easier to use over time."
"It is easy to use and optimize. It is very easy for us to understand how a chopped chunk can be translated into embedding."
"I rate Azure Database for PostgreSQL 10 out of 10."
"Compared to my previous expenses for maintaining an on-premise PostgreSQL database, Azure Database for PostgreSQL is far easier, far simpler, and far cheaper in my opinion."
"Overall, we are satisfied with Microsoft solutions and recommend them."
"Azure Database for PostgreSQL has influenced my application development process by enabling me to take some of what we used to do on-premises, with PostgreSQL hosted in virtual machines, and transition that process into a SaaS solution."
"The benefits we have realized as a company from using Azure Database for PostgreSQL on Azure make the life of our customers and our solution easier."
"The effective integration of Postgres with Microsoft products, especially with the inclusion of AI features in Azure AI, is significant for our applications."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"Ease of management and the ability to oversee the statistics of your SQL."
"It directly provides robust data safety. It also offers various other storage options, such as Google Cloud Storage. These services ensure data security and redundancy. Furthermore, it includes different storage classes, allowing flexible data management tailored to specific needs."
"The implementation part of the product was easy."
"The deployment model allows for significant control and flexibility."
"It supports different databases, like Postgres and MySQL."
"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 most valuable features are that it's easy to use, simple, and user-friendly."
 

Cons

"There is a stability issue where, if the database usage peaks quickly, it may crash and require intervention to restore functionality. It does not auto-heal or self-heal in such situations."
"The pay-as-you-go pricing model of Azure Database for PostgreSQL has actually increased costs."
"Coming from a traditional Oracle Exadata setup, all queries will run faster because Oracle has that optimization layer in between which optimizes it for you, which is why you pay a lot of money for that. When you come to Azure Database for PostgreSQL, that layer is gone."
"Microsoft support for Azure Database for PostgreSQL rates about four out of ten based on my experience. You always get the same questions with Microsoft support, and it's not really straightforward."
"Currently, most databases will try to use all the CPUs available and use all the memories available. We try to give all the databases one hundred percent of the hardware capacity, but sometimes because the OS layer itself will need some resources."
"I do not know how Azure Database for PostgreSQL can be improved or what additional features I would prefer to see. There may be some pain points that would be valuable to fix."
"I would add that from my perspective, Microsoft technical support isn't great; we have tickets sitting in the bucket."
"I do not know how Azure Database for PostgreSQL can be improved or what additional features I would prefer to see. There may be some pain points that would be valuable to fix."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"The monitoring part could be better."
"The overall documentation and the connectors need improvement."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"The customer support should be improved."
"The only thing that could be better is the pricing."
"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."
"Google Cloud SQL needs to improve its support for high-end I/O operations."
 

Pricing and Cost Advice

"There aren't any notable areas for improvement that I could see. PostgreSQL was self-sufficient with no need for additional database knowledge to maintain it."
"The pricing experience is positive. Azure Database for PostgreSQL reduces the need for hardware investments, and the pay-as-you-go pricing model positively affects database-related costs by allowing us to start small and scale as needed."
"The pay-as-you-go pricing model plays a critical role in managing database-related costs and resource allocation. We build using Infrastructure as Code (IAC) and maintain a focus on FinOps to control Azure service costs. Some clients are pushy on price. It's critical to automate it, so we're just using it when appropriate and switching it off in certain scenarios."
"We do not pay for a full-year subscription because our usage is still at the beginning phase and not much. The pay-as-you-go model works well for us."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"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."
"The solution is affordable."
"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
14%
Manufacturing Company
14%
Marketing Services Firm
13%
Educational Organization
9%
Financial Services Firm
14%
Computer Software Company
11%
Educational Organization
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise16
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise9
 

Questions from the Community

What is your experience regarding pricing and costs for Azure Database for PostgreSQL?
My experience with pricing, setup costs, and licensing for Azure Database for PostgreSQL is positive; I appreciate it all. The pricing is very cost-effective and stable given that we have many data...
What needs improvement with Azure Database for PostgreSQL?
Azure Database for PostgreSQL can be improved in ways I'm very curious to explore with Horizon. I'm interested in seeing how the fully enterprise-hardened features change things and where that blur...
What is your primary use case for Azure Database for PostgreSQL?
My main use cases for Azure Database for PostgreSQL came from a personal project to scratch an itch, and it was the easiest one to go grab. I appreciate how easy PostgreSQL is to get running locall...
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?
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.
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...
 

Overview

 

Sample Customers

Information Not Available
BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
Find out what your peers are saying about Azure Database for PostgreSQL vs. Google Cloud SQL and other solutions. Updated: February 2026.
881,707 professionals have used our research since 2012.