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Azure Database for PostgreSQL vs Google Cloud SQL comparison

Microsoft and Google are both solutions in the Database as a Service (DBaaS) category. Microsoft is ranked #8 with an average rating of 8.7, while Google is ranked #4 with an average rating of 7.8. Additionally, 100% of Microsoft users are willing to recommend the solution, compared to 100% of Google users who would recommend it.
Azure Database for PostgreSQL
Read 9 Azure Database for PostgreSQL reviews
  • 242 Views
  • 45 Comparison Views
100% willing to recommend
Google Cloud SQL
Read 22 Google Cloud SQL reviews
  • 3,161 Views
  • 2,874 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 30, 2025

Google Cloud SQL and Azure Database for PostgreSQL compete in the cloud-based database management area. Azure Database for PostgreSQL seems to have the upper hand due to its scalability and customization options which cater to larger enterprises.

Features: Google Cloud SQL is known for its integration with other Google Cloud services, offering automatic backups and seamless platform management without requiring significant IT expertise. Meanwhile, Azure Database for PostgreSQL offers advanced multi-region deployment options, performance tuning capabilities, and native integration with other Azure services, making it a versatile choice for complex applications.

Room for Improvement: Google Cloud SQL could enhance its multi-region capabilities and add more comprehensive performance tuning features. Additionally, more flexibility in deployment support and enhanced documentation could benefit users. Azure Database for PostgreSQL might improve its initial setup's simplicity and streamline pricing structures to be more transparent. It could also benefit from easing the migration process for users transitioning from other platforms.

Ease of Deployment and Customer Service: Google Cloud SQL offers easy deployment through a user-friendly console, allowing quick setup for new users. However, Azure Database for PostgreSQL provides extensive documentation and a more flexible deployment model, supported by a robust customer service system suitable for varied enterprise needs.

Pricing and ROI: Google Cloud SQL generally offers competitive pricing, making it attractive for small and medium businesses by balancing cost and features. Conversely, Azure Database for PostgreSQL, although having higher initial costs, provides better long-term ROI for larger companies with its superior scalability and resource management abilities, leading to potential cost savings as data demands escalate.

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To learn more, read our detailed Azure Database for PostgreSQL vs. Google Cloud SQL Report (Updated: April 2025).
Buyer's Guide
Azure Database for PostgreSQL vs. Google Cloud SQL
April 2025
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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)
8th
Average Rating
8.6
Reviews Sentiment
7.5
Number of Reviews
9
Ranking in other categories
Open Source Databases (10th)
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.
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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…
Read full review

Quotes from Members

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

Pros

"The effective integration of Postgres with Microsoft products, especially with the inclusion of AI features in Azure AI, is significant for our applications."
"Overall, we are satisfied with Microsoft solutions and recommend them."
"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 performance of our RAG application is very good. We have 96% satisfaction."
"The operational efficiency of Azure Database for PostgreSQL is good."
"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."
"The most valuable features of Azure Database for PostgreSQL are its networking capabilities, which allow for integration with other Azure services."
"Our organization's database uptime has improved after implementing Azure Database for PostgreSQL, particularly with the flexible server's redundant configuration capabilities, which allow for failovers and read-only configurations."
More Azure Database for PostgreSQL pros
"The solution is easy to use. I am impressed with the tool's features and functionality."
"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."
"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."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"The implementation part of the product was easy."
"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."
"Its most valuable feature is that it's scalable. I can start off with a base of a lot of data and move as much as I want and it's the same as if asked to do a lot of infrastructure changes."
"The product is scalable."
More Google Cloud SQL pros
 

Cons

"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)."
"The critical service is the Azure OpenAI service. It would help to make it simpler and easier to integrate with that or cognitive services."
"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."
"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."
"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."
More Azure Database for PostgreSQL cons
"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. This would enhance the capabilities of Google Cloud SQL."
"Google Cloud SQL needs to improve its support for high-end I/O operations."
"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 overall documentation and the connectors need improvement."
"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."
"The only thing that could be better is the pricing."
"It is hard to do logging with the solution."
More Google Cloud SQL cons
 

Pricing and Cost Advice

"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."
"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."
"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."
"The solution is affordable."
"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."
"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'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
Manufacturing Company
20%
Marketing Services Firm
17%
Financial Services Firm
15%
Educational Organization
8%
Financial Services Firm
15%
Computer Software Company
13%
University
8%
Retailer
8%
 

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.
See all answers
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...
See all answers
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...
See all answers
What do you like most about Google Cloud SQL?
The implementation part of the product was easy.
See all answers
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.
See all answers
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...
See all answers
 

Comparisons

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Compared 45% of the time
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Compared 40% of the time
Amazon RDS vs Google Cloud SQL Logo
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Compared 35% of the time
MongoDB Atlas vs Google Cloud SQL Logo
MongoDB Atlas vs Google Cloud SQL
Compared 12% of the time
Oracle Database as a Service vs Google Cloud SQL Logo
Oracle Database as a Service vs Google Cloud SQL
Compared 7% of the time
Google Cloud Spanner vs Google Cloud SQL Logo
Google Cloud Spanner vs Google Cloud SQL
Compared 4% of the time
More Google Cloud SQL Competitors
 

Product Reports

Buyer's Guide
Azure Database for PostgreSQL
April 2025
Azure Database for PostgreSQL reportDownload Azure Database for PostgreSQL product report
Buyer's Guide
Google Cloud SQL
April 2025
Google Cloud SQL reportDownload Google Cloud SQL product report
 

Overview

Azure Database for PostgreSQL is a robust cloud solution designed to host scalable applications, manage large datasets, enable advanced analytics, and ensure data integrity through strong security features and automated backups.

Many utilize Azure Database for PostgreSQL due to its seamless integration with other Azure services and ease of setup. It supports advanced analytics and data warehousing with powerful querying capabilities. Users appreciate its high availability, automated backups, and strong security measures like advanced threat protection and encryption. Azure Database for PostgreSQL's compatibility with standard PostgreSQL ensures a smooth migration process and minimal disruption to existing applications. However, some areas needing improvement include scalability, performance under heavy loads, monitoring tools, integration with other services, documentation, support response times, and stability during peak times. Pricing is also considered high by smaller businesses.

What are the most important features of Azure Database for PostgreSQL?

  • High Availability: Built-in redundancy and failover capabilities to ensure continuous operation.
  • Automated Backups: Regular, automated backups for data protection and recovery.
  • Scalability Options: Flexible scaling to handle varying workloads efficiently.
  • Advanced Security: Features like threat protection and encryption to safeguard data.
  • Integration with Azure Services: Seamless interoperability with other Azure tools and services.
  • Performance Metrics: Robust monitoring tools for performance tracking and optimization.
  • Simplified Management: Easy management through the Azure portal.
  • PostgreSQL Compatibility: Ensures smooth migration and minimal disruption to existing applications.

What benefits and ROI should users look for?

  • Enhanced Security: Protects sensitive data through comprehensive security features.
  • Cost Efficiency: Potential for reduced infrastructure and maintenance costs.
  • Improved Performance: Optimized querying and data processing capabilities.
  • Simplified Operations: Streamlined database management and maintenance.
  • Scalability: Ability to scale resources based on workload demand.
  • Reliability: High availability and failover support to ensure operational continuity.

In healthcare, Azure Database for PostgreSQL is often implemented to manage and analyze large patient datasets while ensuring data security and compliance with regulations. E-commerce companies utilize it to handle scalable transactions and customer data management, leveraging its integration with data analytics tools. Financial institutions employ it to securely store and process large volumes of financial data, relying on its robust security and automated backups.

Microsoft

Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.

Google
 

Sample Customers

Information Not Available
BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
Buyer's Guide
Azure Database for PostgreSQL vs. Google Cloud SQL
April 2025
Free Report: Azure Database for PostgreSQL vs. Google Cloud SQL
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