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Azure Database for PostgreSQL vs Google Cloud SQL comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 6, 2025

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)
7th
Average Rating
8.6
Reviews Sentiment
7.5
Number of Reviews
9
Ranking in other categories
Open Source Databases (11th)
Google Cloud SQL
Ranking in Database as a Service (DBaaS)
4th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
22
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Daniel Amini - PeerSpot reviewer
An incredibly powerful industry leader that enabled us to build critical pieces of national infrastructure
Azure Database is simple and easy to use. We followed the prescribed training and upskilled 10 engineers. They think it's straightforward. They've already got PostgreSQL skills to optimize the solution, so they know what to do. It was easy to get started quickly and become effective. My team speaks highly of the platform's observability and monitoring features. It's as efficient as an enterprise needs it to be and. has all of the tooling and telemetry necessary to run an enterprise database. We take security seriously. The team has looked at the security features, and nothing has been flagged to us. My takeaway as a CTO is that they're comfortable with the security posture, the features, the observability, alerts, and now it integrates into the rest of the Azure landscape. The OpenAI integration and extensions have massively simplified integrating AI into a database. PostgreSQL's native vector capabilities are also incredibly powerful.
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…

Quotes from Members

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

Pros

"Backups are easy, resizing is quick, and the query analyzers help me find out what's happening in each of the queries."
"It is easy to use and optimize. It is very easy for us to understand how a chopped chunk can be translated into embedding."
"The performance of our RAG application is very good. We have 96% satisfaction."
"The effective integration of Postgres with Microsoft products, especially with the inclusion of AI features in Azure AI, is significant for our applications."
"I rate Azure Database for PostgreSQL 10 out of 10."
"Azure Database has become easier to use over time."
"PostgresSQL is acknowledged as an incredibly powerful industry leader. We've built critical pieces of national infrastructure in the UK that rely on Postgres. A version of Postgres on Azure that's easy to adopt enables us to innovate. The addition of AI extensions is even more exciting. It's a significant opportunity for us."
"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 is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"It supports different databases, like Postgres and MySQL."
"The initial setup is straightforward."
"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."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."
"Google Cloud SQL is highly scalable."
"The solution is easy to use. I am impressed with the tool's features and functionality."
"This is a stable solution and offers good performance."
 

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."
"Performance is one area that has constraints for our customers. I believe there could be improvements in the mirroring part and Change Data Capture (CDC)."
"They can offer more RAG extensions. Currently, it only has the vector search."
"Performance is one area that has constraints for our customers. I believe there could be improvements in the mirroring part and Change Data Capture (CDC)."
"Perhaps a minor improvement could be made in simplifying user additions, allowing for an easier process rather than scripting it out. However, scripting is not a significant issue."
"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 critical service is the Azure OpenAI service. It would help to make it simpler and easier to integrate with that or cognitive services."
"In the future, I would like to see anomaly detection."
"The overall documentation and the connectors need improvement."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"The only thing that could be better is the pricing."
"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."
"In the case of Google, they need to work on a more easy interface for users."
"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."
"They could improve documentation and dashboard stability for efficient user experience and database management."
 

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."
"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."
"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."
"You need to pay extra costs for backup and replication."
"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."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
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Top Industries

By visitors reading reviews
Marketing Services Firm
17%
Manufacturing Company
16%
Financial Services Firm
15%
Educational Organization
10%
Financial Services Firm
15%
Computer Software Company
13%
Educational Organization
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is your experience regarding pricing and costs for Azure Database for PostgreSQL?
Pricing is affordable for us. PostgreSQL is good and affordable for our needs.
What needs improvement with Azure Database for PostgreSQL?
While the flexibility of the server for financial reasons is understandable, better switching between primary and backup would make transitions smoother. I noticed an issue where the primary refuse...
What is your primary use case for Azure Database for PostgreSQL?
We started using Azure Database for PostgreSQL ( /products/azure-database-for-postgresql-reviews ) about five to six years ago. Initially, we were doing an on-premises Kubernetes ( /products/kubern...
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 use, with no fixed cost.
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 perform better, as Google Cloud SQL takes more time to handle the same tasks. T...
 

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: July 2025.
865,140 professionals have used our research since 2012.