

Find out in this report how the two Database as a Service (DBaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
We do not have to pay extra for software over-provisioning because Azure SQL is serverless and elastic pool configuration allows us to pay only for the precise usage on a second-by-second basis.
We estimate that Azure SQL Managed Instance saves our team around 5 to 10 hours per month by reducing manual effort for patching, backups, availability, and maintenance.
There's always a return on investment when it comes to SQL instance within Azure.
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.
Whenever we contact customer support or the call center, they provide responses quickly and resolve issues immediately.
Microsoft provides useful documentation, troubleshooting resources, and technical support for configuration, performance, and issues.
I'm very, very happy with the technical service from Microsoft.
We do not have to buy everything and build it. It is already there.
Scalability is not an issue on cloud.
Maintaining consistent performance while reducing operational complexity.
Azure SQL Managed Instance's scalability is quite good as it is a managed solution and PaaS, so it can scale automatically.
Azure SQL Managed Instance's scalability for our workloads can adjust compute and storage resources as application demands increase without having to provision and manage new database servers ourselves.
Azure SQL Managed Instance is totally scalable depending on the service plan chosen.
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.
Once everything is in the same networking environment, the latency becomes much smaller compared to when I have everything spread across different availability zones and regions, which results in higher latency.
We have experienced consistent database performance and availability.
After analyzing logs indicating request and command timeouts, I rebuilt and reorganized the indexes, which improved performance.
It does not presently support knowledge graph functionalities as Neo4j does.
Some cloud platforms I've used have journeys that guide you through processes, but with Azure Database for PostgreSQL, I have to know exactly what I want to do and navigate there myself.
Enhanced monitoring dashboards for faster root cause analysis.
In sizing, I need some options available so that it can be scaled up or scaled down based upon my requirements.
More proactive alerts, clearer recommendations, and easier-to-understand guidance around computing, sizing, storage, and cost optimization would be useful.
For instance, if you are working with a government organization that doesn't want their data to be resided outside the country, it will not work.
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.
However, I know it is approximately five dollars per month for the basic tier, fifteen dollars per month for the standard tier, and around five hundred dollars per month for the premium one.
My experience with pricing, setup cost, and licensing is quite good because Microsoft provides tools to calculate the pricing upfront, so it is predictable.
There was no major upfront infrastructure or hardware investment because Azure SQL Managed Instance is a managed cloud service.
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.
For high availability, there is a built-in failover, so if anything happens to the server, it is automatically brought back up in a different data center or location, all done behind the scenes.
It has AI-driven security and advanced encryption. It has always encrypted, which keeps our sensitive data protected in transit as well as at rest.
One measurable benefit has been the reduction in routine database administration effort. We estimate that Azure SQL Managed Instance saved our team around 5 to 15 hours per month by reducing the need for manual work related to patching, backups, availability management, and infrastructure maintenance.


| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 1 |
| Large Enterprise | 7 |
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.
Azure SQL Managed Instance is a managed database service that combines the rich SQL Server programming surface area with automated operations like patching, backup, and performance tuning, providing a seamless way to modernize applications with cloud efficiencies.
Designed for enterprises looking to migrate to the cloud, Azure SQL Managed Instance offers a high level of compatibility with SQL Server, making it an attractive option for those aiming to move existing applications with minimal changes. Leveraging its capabilities helps businesses reduce infrastructure overhead while enhancing performance and scalability. With features like advanced security and built-in AI-powered optimization, it simplifies database management, allowing IT teams to focus on more strategic tasks. The flexibility and integration with other Azure services make it a powerful tool for digital transformation.
What are the core features of Azure SQL Managed Instance?In the financial industry, Azure SQL Managed Instance helps securely manage sensitive data while providing compliance with regulations. Retailers use it to handle transactional data at scale during peak seasons, ensuring smooth operations. Healthcare organizations leverage its capabilities to maintain critical workloads and integrate with analytics for better patient outcomes. This adaptability to industry-specific needs makes it a strategic choice for businesses aiming to leverage cloud technology.
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