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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 March 2026, in the Database as a Service (DBaaS) category, the mindshare of Azure Database for PostgreSQL is 3.3%, up from 0.6% compared to the previous year. The mindshare of Google Cloud SQL is 7.6%, down from 16.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Mindshare Distribution
ProductMindshare (%)
Azure Database for PostgreSQL3.3%
Google Cloud SQL7.6%
Other89.1%
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.
Prathap Sankar - PeerSpot reviewer
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…

Quotes from Members

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

Pros

"Overall, Azure Database for PostgreSQL has been good for us."
"The most valuable features of Azure Database for PostgreSQL for us are reliability, performance, and cost, making it a good cost-benefit for us."
"Automatic patching and backups have saved us time; anything automatic is a blessing—it allows us to be hands-off, and the reliability has been very good with it."
"We use PostgreSQL to speed up application development. Our applications are ready sooner because we don't need to depend on other database teams."
"The flexibility that we have with the JSONB functionality allowed us to get data into the system, build the POC, get it in front of people, and then as we find needs for things to be more normally normalized, we can go back and make those changes."
"What I appreciate most about Azure Database for PostgreSQL is not one particular feature; I think it is the use case and the facility to have a single pane of glass for managing what is on the edge, what is on the cloud, especially now with Azure Local as well."
"I rate Azure Database for PostgreSQL 10 out of 10."
"In terms of integration, we already have SharePoint online, and we're starting to explore PowerApps and PowerFlow. It's all seamless. The ease of integrating SQL and licensing purposes plays a significant role, making it a comfortable choice for the organization."
"It supports different databases, like Postgres and MySQL."
"The deployment model allows for significant control and flexibility."
"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 initial setup is straightforward."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"Google Cloud SQL is highly scalable."
"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."
 

Cons

"Azure Database for PostgreSQL can be improved in ways I'm very curious to explore with Horizon."
"The critical service is the Azure OpenAI service. It would help to make it simpler and easier to integrate with that or cognitive services."
"They can offer more RAG extensions. Currently, it only has the vector search."
"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."
"They can offer more RAG extensions. Currently, it only has the vector search. It does not presently support knowledge graph functionalities as Neo4j does. It also does not offer some tools to improve indexing the way other vector databases offer."
"Support can certainly get better."
"Azure Database for PostgreSQL has not really helped reduce infrastructure costs at my company."
"In the future, I would like to see anomaly detection."
"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."
"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."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"The purging of the data could be better."
"It is hard to do logging with the solution."
"In the case of Google, they need to work on a more easy interface for users."
 

Pricing and Cost Advice

"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."
"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."
"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."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"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."
"You need to pay extra costs for backup and replication."
"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."
"The solution is affordable."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
13%
Marketing Services Firm
12%
Educational Organization
8%
Financial Services Firm
14%
Computer Software Company
10%
University
9%
Educational Organization
7%
 

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 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...
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.
 

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: March 2026.
884,797 professionals have used our research since 2012.