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Amazon RDS vs Azure Database for PostgreSQL comparison

Amazon Web Services (AWS) and Microsoft are both solutions in the Database as a Service (DBaaS) category. Amazon Web Services (AWS) is ranked #1 with an average rating of 8.2, while Microsoft is ranked #7 with an average rating of 8.7. Amazon Web Services (AWS) holds a 19.1% mindshare in DS, compared to Microsoft’s 2.9% mindshare. Additionally, 98% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Microsoft users who would recommend it.
Amazon RDS
Read 57 Amazon RDS reviews
  • 3,520 Views
  • 3,485 Comparison Views
98% willing to recommend
Azure Database for PostgreSQL
Read 9 Azure Database for PostgreSQL reviews
  • 1,973 Views
  • 1,480 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 12, 2025

Amazon RDS and Azure Database for PostgreSQL compete in the cloud-based database service market. Amazon RDS has the upper hand due to comprehensive features and deployment flexibility, while Azure focuses on seamless integration and ease of use.

Features: Amazon RDS offers deployment agility, an on-demand service for various databases, and turnkey setup with multi-availability zone features for high availability. It supports multiple databases, making it easy to implement a microservices architecture and automate tasks like backups, enhancing DBA efficiency. Azure Database for PostgreSQL provides seamless integrations, strong networking capabilities, and supports AI features, with robust monitoring and observability tools.

Room for Improvement: Amazon RDS struggles with complex migrations, limited shell access, and default settings requiring user activation. Pricing and technical support need improvement, alongside SQL patching and sandboxing. Azure Database for PostgreSQL could improve performance monitoring, cost management, and user addition capabilities. Flexibility in server resources and anomaly detection are also areas for development.

Ease of Deployment and Customer Service: Amazon RDS supports public cloud deployments and private and hybrid setups. Its customer service quality varies, with premium support being better. Azure Database for PostgreSQL is optimized for public cloud use, with positive feedback for support despite some desire for faster responses and initial support quality.

Pricing and ROI: Both Amazon RDS and Azure Database for PostgreSQL use a pay-as-you-go pricing model, minimizing initial hardware investment. Amazon RDS is cost-effective with strategic provisioning but challenging due to high prices and hidden costs. Azure offers cost savings with flexible pricing that scales, supporting smaller scale-ups with competitive options. Strategic provisioning is essential to optimize costs for Amazon RDS, while Azure Database for PostgreSQL is ideal for smaller enterprises due to competitive pricing.

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Buyer's Guide
Amazon RDS vs. Azure Database for PostgreSQL
September 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:
 

ROI

Sentiment score
3.4
Amazon RDS reduces infrastructure costs, increases agility, offers rapid ROI with pay-as-you-go benefits, and eliminates the need for DBAs.
Sentiment score
7.6
Azure Database for PostgreSQL offers significant cost savings and efficiency improvements, reducing ownership costs by eliminating expensive licenses.
No quotes available
For more quotes and insights, download the Amazon RDS report
It offers at least 25 percent cost savings compared to maintaining on-premises databases.
Now, we use embedded PostgreSQL vectors, which will undoubtedly reduce the TCO by using a much more cost-effective solution.
We've reduced our total ownership cost because we are not spending on expensive SQL server licenses.
For more quotes and insights, download the Azure Database for PostgreSQL report
Wesley Haakman - PeerSpot reviewerDaniel Amini - PeerSpot reviewerreviewer2596230 - PeerSpot reviewer
 

Customer Service

Sentiment score
7.9
Amazon RDS support receives mixed feedback, with quality depending on support level, but cost concerns exist, especially for startups.
Sentiment score
7.4
Users praise Microsoft Learn's documentation, benefit from fast support response, and find engineering engagement insightful for urgent issues.
The documentation is quite good.
The official AWS technical support for Amazon RDS is helpful, providing 24/7 assistance for all business support cases with tools such as the health dashboard and AWS trusted advisor.
I would rate the support from AWS very high, maybe nine, but it also depends on what kind of support you have signed in your contract, whether the premium support or the standard support.
For more quotes and insights, download the Amazon RDS report
Once we open a support case, we have people engaged within about 20 minutes, especially for a Sev 1 issue.
The documentation and training we've received through Microsoft Learn on how to migrate, deploy, and manage the solution is exceptional.
We handle most implementations in-house, without extensive reliance on Microsoft's technical support.
For more quotes and insights, download the Azure Database for PostgreSQL report
Kenan Çiftçi - PeerSpot reviewer
BS
reviewer2592669 - PeerSpot reviewer
NR
Daniel Amini - PeerSpot reviewer
LL
 

Scalability Issues

Sentiment score
8.4
Amazon RDS is praised for scalable features, though some note limited autoscaling; supports significant growth for varying demands.
Sentiment score
7.9
Azure Database for PostgreSQL efficiently scales workloads with FlexServer, offering easy resizing for large enterprises and government projects.
Its automated scaling, both in storage and instances, is vital as it eliminates manual interventions.
The installation of Amazon RDS is quite easy and quite scalable.
Despite being a strong feature, scalability could be improved due to the lack of full functionality in autoscaling.
For more quotes and insights, download the Amazon RDS report
However, we can see how well it scales after we deploy it for some large enterprise customers or big government organizations.
The scaling options with FlexServer provide us with the flexibility we need based on application complexity.
We can scale up compute and scale it down, but once storage is allocated, there is no way to scale it back down.
For more quotes and insights, download the Azure Database for PostgreSQL report
Samuel Ebite - PeerSpot reviewerreviewer2592669 - PeerSpot reviewerreviewer2668191 - PeerSpot reviewerDaniel Amini - PeerSpot reviewerManikyam Thukkapuram - PeerSpot reviewer
NR
 

Stability Issues

Sentiment score
8.2
Amazon RDS is widely praised for stability, with high ratings; occasional disruptions occur but recovery is supported by automated snapshots.
Sentiment score
7.0
Azure Database for PostgreSQL is stable with no latency issues, though it may crash during peak usage without auto-healing.
Amazon RDS is very stable when deployed correctly across different zones with the right configurations.
It is a stable product overall, with very few issues.
Amazon RDS is quite stable, and the SLAs are sort of 99.98%.
For more quotes and insights, download the Amazon RDS report
There is a stability issue where, if the database usage peaks quickly, it may crash and require intervention to restore functionality.
We have generative AI applications, and we have not noticed any latency.
Overall, I have not encountered any real latency issues or stability concerns.
For more quotes and insights, download the Azure Database for PostgreSQL report
Samuel Ebite - PeerSpot reviewerreviewer2668191 - PeerSpot reviewerreviewer2592669 - PeerSpot reviewerWesley Haakman - PeerSpot reviewer
LL
Jan Pinheiro - PeerSpot reviewer
 

Room For Improvement

Amazon RDS faces challenges with integration, customization, scalability, support, and requires enhancements in performance, security, and management features.
Azure Database for PostgreSQL needs faster scaling, better reliability, extensions, user management, cost efficiency, support, and error detection.
Simplifying migration for those transitioning from on-premises to cloud environments.
Having native Change Data Capture (CDC) support would be beneficial, allowing for seamless integration with Kafka without relying on external technologies like Debezium.
Enabling performance insights to view query formats where the bottlenecks occur, identifying the fixes, slow queries, and missing indexes.
For more quotes and insights, download the Amazon RDS report
It does not presently support knowledge graph functionalities as Neo4j does.
Azure Database for PostgreSQL can be improved by allowing quicker scaling without blips.
I believe there could be improvements in the mirroring part and Change Data Capture (CDC).
For more quotes and insights, download the Azure Database for PostgreSQL report
Samuel Ebite - PeerSpot reviewerreviewer2668191 - PeerSpot reviewer
BS
LL
Wesley Haakman - PeerSpot reviewerManikyam Thukkapuram - PeerSpot reviewer
 

Setup Cost

Amazon RDS is costly yet cost-efficient when optimized, with mixed reviews on pricing predictability and competitor comparisons.
Enterprise buyers appreciate Azure's cost-efficient, pay-as-you-go pricing for PostgreSQL, reducing on-premises database costs significantly.
While Azure provides great services, long-term plans on AWS are 20% to 30% cheaper.
I find the pricing of Amazon RDS fair, as AWS operates on a pay-for-what-you-use model.
I rate the price for Amazon as eight on a scale from one to ten.
For more quotes and insights, download the Amazon RDS report
We've reduced costs by 60 percent compared to maintaining on-premises solutions.
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 model works well for us.
For more quotes and insights, download the Azure Database for PostgreSQL report
Karthikeyan Katkam - PeerSpot reviewerSamuel Ebite - PeerSpot reviewerKenan Çiftçi - PeerSpot reviewerManikyam Thukkapuram - PeerSpot reviewerWesley Haakman - PeerSpot reviewer
LL
 

Valuable Features

Amazon RDS provides scalable, secure managed databases with automation and supports engines like MySQL and PostgreSQL, streamlining DevOps tasks.
Azure Database for PostgreSQL offers seamless integration, robust networking, efficient AI tools, and strong security with a positive cost-benefit ratio.
Amazon RDS provides data encryption using services like KMS, crucial for securing high-sensitive data and meeting compliance requirements such as HIPAA or PCI DSS.
Database management is effective in Amazon RDS because it offers automated backups, high availability, read replicas, and support from multiple database engineers, while also providing security, monitoring and metrics, scalability.
In some cases, we are using the read replica feature, and it does improve our application performance because we do not allow any downstream system to come to the main storage or main databases and perform a query.
For more quotes and insights, download the Amazon RDS report
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 query analyzers help me find out what's happening in each of the queries.
The most valuable features of Azure Database for PostgreSQL are its networking capabilities, which allow for integration with other Azure services.
For more quotes and insights, download the Azure Database for PostgreSQL report
Samuel Ebite - PeerSpot reviewer
BS
reviewer2592669 - PeerSpot reviewerDaniel Amini - PeerSpot reviewer
GG
Wesley Haakman - PeerSpot reviewer
 

Categories and Ranking

Amazon RDS
Ranking in Database as a Service (DBaaS)
1st
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
57
Ranking in other categories
No ranking in other categories
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)
 

Mindshare comparison

As of October 2025, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 19.1%, down from 25.2% compared to the previous year. The mindshare of Azure Database for PostgreSQL is 2.9%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
Amazon RDS19.1%
Azure Database for PostgreSQL2.9%
Other78.0%
Database as a Service (DBaaS)
 

Featured Reviews

Samuel Ebite - PeerSpot reviewer
Ensure high availability with robust encryption and seamless backups
Amazon RDS provides data encryption using services like KMS, crucial for securing high-sensitive data and meeting compliance requirements such as HIPAA or PCI DSS. The best practices we've employed with RDS help design a well-architected framework, encompassing security, encryption, scalability with multi-availability zone deployment, and operational excellence with automated backups. RDS features, such as reserved instances, storage auto-scaling, monitoring with technologies like CloudWatch, and proxies, contribute to cost optimization. The solution enhances security with IAM authentication and offers high availability to end users.
Read full review
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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Top Industries

By visitors reading reviews
Computer Software Company
13%
Financial Services Firm
12%
Manufacturing Company
7%
University
7%
Manufacturing Company
16%
Financial Services Firm
16%
Marketing Services Firm
15%
Educational Organization
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business22
Midsize Enterprise14
Large Enterprise23
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
 

Questions from the Community

What do you like most about Amazon RDS?
The product's installation phase is easy.
See all answers
What is your experience regarding pricing and costs for Amazon RDS?
The pricing for Amazon RDS is reasonable.
See all answers
What needs improvement with Amazon RDS?
I don't really see any disadvantages of Amazon RDS. With Oracle, I think AWS doesn't provide the RAC stability. If you have Oracle installed in your own data centers, you can set up various cluster...
See all answers
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
 

Comparisons

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Compared 15% of the time
Microsoft Azure SQL Database vs Amazon RDS Logo
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Compared 14% of the time
Yugabyte Platform vs Amazon RDS Logo
Yugabyte Platform vs Amazon RDS
Compared 3% of the time
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Microsoft Azure SQL Database vs Azure Database for PostgreSQL Logo
Microsoft Azure SQL Database vs Azure Database for PostgreSQL
Compared 25% of the time
Oracle Database as a Service vs Azure Database for PostgreSQL Logo
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Compared 17% of the time
PostgreSQL vs Azure Database for PostgreSQL Logo
PostgreSQL vs Azure Database for PostgreSQL
Compared 10% of the time
MySQL vs Azure Database for PostgreSQL Logo
MySQL vs Azure Database for PostgreSQL
Compared 8% of the time
Microsoft Azure Cosmos DB vs Azure Database for PostgreSQL Logo
Microsoft Azure Cosmos DB vs Azure Database for PostgreSQL
Compared 8% of the time
More Azure Database for PostgreSQL Competitors
 

Product Reports

Buyer's Guide
Amazon RDS
October 2025
Amazon RDS reportDownload Amazon RDS product report
Buyer's Guide
Azure Database for PostgreSQL
October 2025
Azure Database for PostgreSQL reportDownload Azure Database for PostgreSQL product report
 

Also Known As

RDS
No data available
 

Overview

Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizeable capacity for an industry-standard relational database and manages common database administration tasks.

Amazon Web Services (AWS)

Azure Database for PostgreSQL offers efficient management, robust networking, and seamless Microsoft integration. Known for its strong performance and high satisfaction in enterprise settings, it provides operational efficiency, security, and monitoring.

With features that facilitate Azure integration, easy configuration, and AI integration, Azure Database for PostgreSQL serves as a valuable choice for businesses requiring operational efficiency and cost-effectiveness. Users benefit from powerful vector capabilities, seamless Microsoft service integration, straightforward management, and user authentication ensuring high satisfaction. Easy optimization, query analysis, and backup operations make it suitable for varied enterprise applications. However, improvements in flexible scaling, cost-effectiveness of monitoring tools, and enhanced integration with Azure OpenAI would enhance its capabilities further.

What Are the Key Features of Azure Database for PostgreSQL?
  • Robust Networking: Offers seamless Azure integration to optimize cloud resources.
  • AI Integration: Simplifies incorporating artificial intelligence into databases.
  • Monitoring Tools: Provides comprehensive tools for efficient database management.
  • Security: Ensures user data is protected with high-standard security protocols.
  • Cost-Effectiveness: Delivers efficient operations with budget-friendly solutions.
What Benefits Should Users Consider?
  • Operational Efficiency: Streamlines database management tasks, reducing workload.
  • High Satisfaction: Receives positive feedback for its reliable performance in enterprises.
  • Enterprise Compatibility: Integrates across various Microsoft services for enhanced productivity.
  • User-Friendly Management: Facilitates straightforward database administration.
  • Scalability: Supports businesses with potential growth through flexible solutions.

Industries such as healthcare, retail, and finance leverage Azure Database for PostgreSQL for backend solutions, incident reporting, and public information sharing. Managed service providers utilize its strong performance for client needs, while administrators use it for applications like ControlM. Its flexibility supports containerized applications and disaster recovery, ensuring compatibility with diverse environments.

Microsoft
 

Sample Customers

Edmodo
Information Not Available
Buyer's Guide
Amazon RDS vs. Azure Database for PostgreSQL
September 2025
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