Try our new research platform with insights from 80,000+ expert users
Azure Database for PostgreSQL Logo

Azure Database for PostgreSQL Reviews

Vendor: Microsoft
4.2 out of 5
Post review

What is Azure Database for PostgreSQL?

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.

Get the Azure Database for PostgreSQL Buyer's Guide and find out what your peers are saying about Azure Database for PostgreSQL and more!
Buyer's Guide
Azure Database for PostgreSQL
February 2025
Get the report
Helped 832,138 peers since 2012

Featured reviews

Read more reviews

PeerAnalyst reports

TypeTitleDate
CategoryDatabase as a Service (DBaaS)Feb 1, 2025Download
ProductReviews, tips, and advice from real usersFeb 1, 2025Download
ComparisonAzure Database for PostgreSQL vs Microsoft Azure SQL DatabaseFeb 1, 2025Download
ComparisonAzure Database for PostgreSQL vs Amazon RDSFeb 1, 2025Download
ComparisonAzure Database for PostgreSQL vs MongoDB AtlasFeb 1, 2025Download
 
 
Key learnings from peers

Valuable Features

Azure Database for PostgreSQL offers valuable features like networking capabilities for integration with Azure services, ease of use, and observability. Users appreciate its security, seamless AI integration, and native vector capabilities. Upgrades and configuration are straightforward. Its efficient monitoring, telemetry, and integration with Microsoft products are beneficial. Users find it easy to manage databases without deep knowledge. The integration with OpenAI enhances AI features massively. Backup, resizing, and query analyzers are also praised.
  • "Backups are easy, resizing is quick, and the query analyzers help me find out what's happening in each of the queries."
  • "Backups are easy, resizing is quick, and the query analyzers help me find out what's happening in each of the queries."
  • "Postgres has helped us innovate and stay competitive."

Room for Improvement

Azure Database for PostgreSQL could benefit from quicker, flexible scaling and enhanced reliability during performance peaks. Improving cost efficiency associated with full metrics logging would be advantageous. Users note that additional RAG extensions and knowledge graph functionalities are desirable. Simplification in user addition processes and better support experiences would be appreciated. Enhancing mirroring, Change Data Capture, and indexing tools are also areas highlighted for improvement. Integration with Azure OpenAI and cognitive services could be made easier.
  • "Support at best is a five out of ten."
  • "Support can certainly get better."
  • "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)."

ROI

Azure Database for PostgreSQL delivers at least 25 percent cost savings compared to on-premises databases and significantly reduces total ownership costs, with some users noting a 40 percent efficiency increase, enhancing ROI. Companies benefit from using embedded PostgreSQL vectors for cost-effectiveness, avoiding expensive SQL server licenses, and seeing potential for further decrease in expenses as operations transition to the cloud. Many organizations express satisfaction with their ROI, seeing it as efficient and beneficial.

Pricing

Enterprise users find Azure Database for PostgreSQL pricing advantageous due to its flexible pay-as-you-go model, minimizing hardware investments and offering scalability. This pricing model aids in effective cost management and resource allocation, particularly through the use of Infrastructure as Code (IAC) and a FinOps approach. When demand is predictable, some prefer fixed licensing, although overall costs are reduced by using pay-as-you-go, with reports of up to 60% savings versus on-premises solutions.
  • "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."

Popular Use Cases

Azure Database for PostgreSQL is utilized by managed service providers for delivering services to numerous customers with varied use cases. It serves as a preferred database due to its strong performance, especially with flexible server configurations. Organizations employ it for applications in the cloud, abstracting databases to run in Azure. Common uses include relational database management, enterprise solutions in healthcare and other sectors, reporting, incident management, safety programs, and migrations from Oracle to PostgreSQL.

Service and Support

Users generally manage implementations internally without relying heavily on Microsoft's support. Experiences with Microsoft Learn's documentation and training are highly valued. While Microsoft expertise isn't crucial due to flexible database connections, their practical solutions are appreciated. Communication with Microsoft's engineering team is beneficial for insights and tool evaluation. Some rate support moderately at five out of ten.

Deployment

Azure Database for PostgreSQL's initial setup is described as seamless and straightforward. Users commend the quality of training provided. Some experienced challenges with authentication during migration, though integration became easier with existing systems. PostgreSQL's local installation requires no migration, further simplifying setup.

Scalability

Azure Database for PostgreSQL is scalable and performs well under various workloads. Users report no significant scalability issues, even with large enterprise deployments. SQL on Azure shows strong scalability capabilities, and workload adjustments are manageable. FlexServer offers flexibility for complex applications, and tasks like resizing are straightforward. Many users appreciate the platform's ability to handle big projects.

Stability

Azure Database for PostgreSQL shows mixed stability results. Some users report no stability or latency issues, especially with local deployment and modest usage. Others encounter stability challenges during peak database usage, causing crashes without self-healing capabilities. Users without production implementation mention anecdotal stability perceptions based on their team. Monitoring database uptime is ongoing post-implementation. Generally, experiences are positive, with few reported concerns unless usage pushes the service to its limits.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Azure Database for PostgreSQL Buyer's Guide for additional reliable information.

Learn more about Azure Database for PostgreSQL

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.

Related questions

  • 4
When evaluating Database as a Service, what aspect do you think is the most important to look for?
  • 9
What would be the best application SQL optimizer over the WAN?
  • 49
Which database is the best for session cashing?
  • 131
What is the biggest difference between Google BigQuery and Oracle Database as Service?
  • 37
Which low-code (no-code) database solution do you prefer?
  • 10
Which databases are supported under DBaaS solutions?
  • 0
Why is Database as a Service important for companies?

Product Categories

Product Categories
Database as a Service (DBaaS)