The functionality and features that it offer, which are very similar to an on premise SQL Server including stored procedures, and strong transactional capabilities.

Face a lot of difficulty and complexity while managing the billing structure leading to unexpected costs.

To store and manage relational database.

Realize cost savings, stronger security. Confidential computing and hotpatching.

Price is the only downside. It costs a little more, but does more for the dough.

security and hybrid capabilities

Extensive service offerings Hybrid cloud support Security and compliance

Performance variability Learning curve for beginners

Data Storage and Management Scalability and Flexibility Reduced Operational Overhead Increased Agility

Azure is able to handle just about any task remotely related to networking & databases.

It's difficult to navigate Azure's UI. While you CAN do nearly anything you need, learning where to go to start up is a challenge in itself.

Azure allows for modular pricing in a way that few other solutions fulfill; you pay for what you need, and nothing else.

It is fast and has every feature that a team needs, My team has been using it for the last 2 years, it's easy to use and its customer support is great

it's costly and sometimes has some bugs, but it does not have many extensions.

this database is fast and secure, the scalability with this database is really safe and fast, it has every feature that my team need.

Mizrosoft Azure is the simplest yet powerful cloud offering in the market

Cost compared to others in this segment.

We were looking to optimize our hosting and have been recommended by the consultant to migrate and we are happy with the decision

Being able to find information about Azure is easy. We utilize the platform mostly for data science projects where we need automated ML process. The platform helped us to design a process for our model development lifecycle. There are around 10 team members that are actively using the platform

The pricing model is hard to understand and calculate. So components and services are charged based on transactions which is hard to know till you are fully live

HAving a kubernetes driven envrionment makes it easy to have an easy end to end model deployment cycle for our data science teams Container Registery and AKS is very helpful to run model as a service projects

Ease of subscription, creating VMs, data storage, and configuring pipelines. Ease of integration with other platforms. Scalability is perfect.

The dashboard looks a little clumsy. All the created resources need to be figured out.

Developing, testing & hosting my applications. Databases inclusive. Configuring pipelines.

Wide Range of Database Options-Azure SQL Database for relational workloads. Fully Managed Services-Performance monitoring and tuning,Automatic backups

Cost Complexity:Azure's pricing model can be complex, with various tiers, regions, and features influencing costs. Hidden Costs- Additional charges for features like geo-replication, read replicas, and backups can add up unexpectedly.

Microsoft Azure Databases solve a wide range of problems related to data storage, management, and scalability. Complexity in Database Management-Time-consuming administrative tasks like backups, updates, and performance tuning.

I've used multiple DB aaS products before and would definitely recommend due to how easy it is to use and the multiple ways it can be integrated into the different tools and platforms within your environment.

It can be risky in terms of security if working in a regulated industry such as pharma, banking or healthcare. Security breaches can be a concern with reference to confidential data.

I am saving cost and effort on having an inhouse team scaling my DB infrastructure for capacity and compute.