

Microsoft Azure SQL Database and Azure Database for PostgreSQL are both crucial players in the cloud database market. Azure SQL Database stands out for its seamless integration with other Microsoft products and ease of use, while Azure PostgreSQL provides significant value for open-source enthusiasts with its flexibility and cost-effectiveness.
Features: Microsoft Azure SQL Database offers ease of provisioning, built-in security, and seamless integration with Azure Data Factory, benefiting firms transitioning from on-premises infrastructure with reduced total cost of ownership. Azure Database for PostgreSQL is noted for reliability, performance, and its synergy with open-source technologies, coupled with AI integration for modern applications.
Room for Improvement: Microsoft Azure SQL Database needs improvements in latency management, scalability, better documentation, and third-party tool integration. Certain on-premises features and application compatibility are concerns. Azure Database for PostgreSQL requires enhancements in flexible scaling, performance peaks, and management costs, alongside better indexing tools and AI integration.
Ease of Deployment and Customer Service: Microsoft Azure SQL Database offers a smooth deployment experience across diverse environments, with generally responsive customer service. However, improvements are needed in response times and support depth in non-critical issues. Azure Database for PostgreSQL provides efficient integration with open-source workloads and Azure services, but support for complex troubleshooting can be better.
Pricing and ROI: Microsoft Azure SQL Database is premium priced but provides value through hybrid licensing and elastic services, lowering total cost of ownership. Azure Database for PostgreSQL's pay-as-you-go model is cost-efficient for scalable workloads, offering affordability and flexibility for open-source systems, leading to significant ROI through operational efficiencies.
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.
On a scale from one to ten, I rate customer service and technical support a nine because they are quick in responding and in working with me to rectify any issues we come across.
The documentation and training we've received through Microsoft Learn on how to migrate, deploy, and manage the solution is exceptional.
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.
We do not have to buy everything and build it. It is already there.
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.
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.
It is the go-to database if seeking performance and capacity.
I have not experienced any downtime, crashes, or performance issues; it has been very stable.
There is a stability issue where, if the database usage peaks quickly, it may crash and require intervention to restore functionality.
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.
I would assess the reliability of Microsoft Azure SQL Database in terms of maintaining uptime and availability as being excellent with zero complaints.
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.
As a customer, I believe something which has been established, stable, and rugged for a very long time also needs cost optimization.
I could not get an accurate quote on what my monthly costs would be based on my needs.
We've reduced costs by 60 percent compared to maintaining on-premises solutions.
We chose it because it is more cost-effective than Microsoft SQL.
Once you are comfortable and ready to make some commitments, you get about 30 percent saving if you are going with one-year or three-year reservation cost.
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.
If a database has any task that has been interrupted or any connection issue, it will alert LogicMonitor, and we have a centralized panel for all the alerts.
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.
Using Microsoft Azure SQL Database is very easy; it's much easier than SQL on-premise because I don't have to worry about deploying infrastructure, and I can rapidly deploy via infrastructure as code.
| Product | Market Share (%) |
|---|---|
| Microsoft Azure SQL Database | 11.3% |
| Azure Database for PostgreSQL | 3.3% |
| Other | 85.4% |


| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 59 |
| Midsize Enterprise | 17 |
| Large Enterprise | 61 |
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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