

Microsoft Azure SQL Database and Azure Database for PostgreSQL are leading cloud-based database solutions competing in the database management category. While Azure SQL Database leads with its feature-rich environment and deep Microsoft product integration, Azure Database for PostgreSQL stands out due to its cost-effectiveness and flexibility, especially for open-source applications.
Features: Azure SQL Database offers efficient data management and integration with Microsoft products, ensuring automatic backups, high availability, and robust security. It allows for flexible cost and licensing models, making it ideal for enterprises needing fast deployment. Azure Database for PostgreSQL is characterized by its powerful AI integration, compatibility with Azure services, and open-source support. It provides cost-effective scaling and advanced security, appealing to smaller-scale applications.
Room for Improvement: Azure SQL Database could benefit from enhanced security features, better cost efficiency, and more flexible customer support. Users also desire improvements in performance monitoring and user rights management. Azure Database for PostgreSQL needs better scaling capabilities, optimized performance during peak times, and expanded AI and monitoring tools to meet growing user demands.
Ease of Deployment and Customer Service: Azure SQL Database is recognized for its straightforward cloud deployment backed by comprehensive documentation and strong technical support, although premium support costs can be high. Azure Database for PostgreSQL benefits from its open-source nature, providing robust Azure service compatibility and ease of use, relying on community support more than direct assistance.
Pricing and ROI: Azure SQL Database incurs higher costs, particularly with enterprise licenses, but it offers a high ROI by reducing infrastructure management expenses and enhancing scalability. Azure Database for PostgreSQL, with its pay-as-you-go model, is more cost-efficient for various applications, facilitating significant cost savings and simplifying budget management.
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.
It is ensuring we receive what we pay for through the blend of price, performance, and features.
If you're managing your own data center, you always have to overprovision your systems and pay for storage space you're not using.
We've reduced costs by about 20 percent after two or three years.
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.
Microsoft played a significant role, even from a training perspective, and provided resources that directed us toward the right deployment path.
Once I reach the right people, the support is incredibly knowledgeable and thorough.
Microsoft provides excellent service and is always available to support us.
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.
Scaling the solution is incredibly simple and involves just clicking a button or dragging a slider.
Azure's scalability features like Elasticity are essential.
Microsoft Azure SQL Database is cloud-based, so it's great for scaling workloads.
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.
We can't tell the difference between running on-prem or Azure because we no longer have those latency issues.
SQL never crashes or suddenly becomes unavailable.
Therefore, it is preferable to provision an instance local to the connection point to optimize performance and minimize latency.
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).
It would be helpful if CPU performance were not pinned to the amount of storage you're using, and we could scale different properties of the Azure SQL database independently.
I could not get an accurate quote on what my monthly costs would be based on my needs.
To overcome this, we collaborated with the network team to develop alternative solutions.
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.
Azure Hybrid Benefit reduced costs by facilitating an easy transition of on-premises databases to the cloud.
Microsoft Azure SQL Database is not cheap.
It greatly reduces the total cost of ownership through efficient licensing depending on the client, the cost savings, and hybrid benefits.
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.
The simplicity in usability, along with improved organizational productivity where we no longer need to maintain on-premises SQL servers, is invaluable.
The Software as a Service model is more effective and easier to access in terms of security, as Azure provides security at the security layer, reducing the risk of breach.
Some of the best features of Microsoft Azure SQL Database are its scalability, pricing, and ease of setup.
| Product | Market Share (%) |
|---|---|
| Microsoft Azure SQL Database | 12.5% |
| Azure Database for PostgreSQL | 3.3% |
| Other | 84.2% |


| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 55 |
| Midsize Enterprise | 15 |
| Large Enterprise | 51 |
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?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 Azure SQL Database is a relational database-as-a-service that delivers predictable performance, scalability, business continuity, data protection, and near-zero administration to cloud developers and solution architects. This is the deep technical library for Azure SQL Database.
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