Microsoft Azure Reviews: 4.3/5 — Solid Choice

It provides a host of AI/ML services that can be leveraged to build innovative solutions.

The learning curve might be a bit steep for users new to the cloud. Documentation can be improved.

Have used AI services in real-world use cases.

I loved the documentation of azure and guided videos

It should be made more user friendly as a person with minimal knowledge can also have access

It is best to host

Global and Local instances for certain reasons. Easier hierarchal & Global Policy enforcement options.

GUI interface of Azure is not appealing like GCP or AWS

The primary cloud offering we have is Azure.

Being one of the largest cloud service provider, maintaining high SLAs and providing smooth services and experience.

Till now I haven't seen any downside of using Microsoft Azure products.

Providing pay as you go model is beneficial for small and large enterprises. That is reducing cost as well as time.

I think the Hybrid approach works best in today's connected world and this is a good move from MS Azure. Gives the flexibility to use on-premise as well as in the cloud.

Still need to get more understanding on the price and how it competes with other storage vendors in the market with similar capabilities in Azure marketplace.

Nothing to report as of now.

Always up. No downtime as per my experience and easy to use

Nothing much I can say right now , i like most of its features

To save data in the database in cloud , so that we can access it anytime without any down time.

High-Speed files accessing using Azure FXT. Its UI is also very intuitive. Because of its user-friendliness, the job becomes much easier and saves a lot of time because of its high performance

As of now, I have not disliked anything however I have a few concerns regarding security although all cloud storage has some level of threats.

I am working on a cloud project where I need some storage and with Azure AXT, I am getting hybrid storage with better accessing performance.

By using cloud-managed SQL, you can create applications that are specific to your company's requirements. Hyper-scale storage and cloud computing without servers that can be quickly adapted.

SQL Database is expensive up to a point where I'm unable to "sell" the management department on using it. It costs as little as 380 dollars a month for the most basic implementation (not intended for production use). In the event that you already have an on-premise SQL Database environment, convincing anyone to switch to the cloud can be difficult.

Deploying across geographies in compliance with PaaS relational database solutions for various products. It is an ideal solution to ensure compliance with various regulations and laws because it is possible to host the database in various regions.

There are many things like 1.scalabilty 2.load balancing 3.Cost ratios 4.Backup and restoration

There are couple of areas where they do need improvement like 1.Not that evolved for automation 2. Unavailablity of small size VM 3.lack of clear grouping of resourc VM

We were creating a data pipeline infused with bpm and customised CRM to create system to handle data operations of large scale

The ease of creating virtual machines irrespective of the underlying operating system. And there are multiple ways to create one like GUI, commands. One can choose based on their liking.

There is nothing to dislike about this awesome software as virtual machines scale automatically based on resource utilization.

Time saving through ARM templates. When you want to create multiple virtual machines on a regular basis, there is a concept of using ARM templates, which makes deployment easy.

The flexibility of scaling the data is good compared with other service providers. A wide range of scalability options is available. Simply Visualize and move the data is the good part about it.

Nothing I can think about. Because none I have witnessed so far.

I have huge data sets which need proper scalability for demanding customers. Since I am working on the insurance domain, here the data is the key part. The portability of data across platforms and proper virtualization works like a charm for me.

Azure FXT provides the user with an experience of true high speed computing. The technology embibes file access at a very high rate that gives increase in productivity by many folds. The hybrid storage tech guarantees the storage environ for the new age cloud based networks and also enculcates the On-Prem storage with superior speeds of access and delivery.

Yet to find out. However the implementation does take a lot of information handaling if the earlier systems are not properly inventoried and mapped out.

Hybrid storage enables data availability almost anywhere on planet. With FXT, It also secures the same.

Easy to use, can create any VM of any technology in a fly

Too many things at one place to check good and bad in both ways

Quick turn around time to create any VM, shutdown/delete or recreate, Cloud LB etc

The interface is simple and useful. You can distribute any application you want. It is pleasant that it provides remote and direct access to the machines. It's good to have support for IOT products. and an application that has an integrated structure with all other microsoft products.

I am generally satisfied. I don't have any negative reviews. could improve some points. A little expensive for the price

It is pleasant that it provides remote and direct access to the machines. in this way, it allows you to manage your machines remotely without any problems. All mobile servers and Branch servers

Data Encryption authentication and Data protection from potential threats.

Some incompatibility and Analysis services are not supported by Sql Azure database.

Data Encryption authentication and Data protection from potential threats.

1. SQL database with managed cloud architecture. 2. Auto-scalable Clusters on demand. 3. Fater query execution and data retrieval and management. 4. Cluster management on demand and auto back up and preferred availability. 5. Data protection and security and encrypted format, so there is a minimal security breach.

1. cost is basic factor. 2. Customer support is another issue.

High-end Availability on cloud

The UI. It is very simple to use. Also all the features available to use.

It can be a bit less chaotic which will make it easier to use for users.

It is helping my small business to run smoothly on its platform.

Support with automatic backup and store data and easy for data collection.

Data auditing and Global temporary tables , Backup fully managed.

Handle database management,such as patching, backupAnd monitoring without user involvement.

Not provided

Not provided

Not provided

Seem less installation process and easy to navigate

Limited variations in hardware specifications

Migrating from on-premise to cloud. Significant savings in the cost and fault tolerant ecosystem

the simplicity to create a VM in min. you can install a SO in less than 5min, thats really awesome

you need knoledge to do it properly and dont get any over pricing or attach wrongs devices

we have client that has server in other clouds and used to pay more than azure

It is easy to manage and deploy the machine learning model as a service in a fast way. Easy to increases the node and configuration.

It is a more expensive service. better if it cost reduced.

As we have implemented the ML model, but we have to deploy that model as a service in production environment in a real-time web app scenario. We used the AKS service to deploy the model in the cluster and there are no worries to manages the cluster of nodes AKS will take care of it. and provide the seamless results.

Azure has advantages in making virtual machines, namely the type of OS that is complete and fast, especially Linux

azure has drawbacks in making virtual machines, and the price is costly and wasteful in cost

azure helped me in setting up a Linux server for my web application development which ran very smoothly and safely

I love the cost management feature on azure to manage the data needed

besides the price, which is quite expensive for users, sometimes azure often experience errors when accessed

azure helps me with my DevOps work in creating a database system for web applications

The best thing about Azure SQL Database is that it supports a broad range of applications and workloads. It also has the provision to scale our database quickly. Also, the built-in availability of SLA, dynamic scaling, and automatic performance are extremely useful.

Something that I absolutely dislike about Azure SQL Database is that you cannot use Windows authentication. Also, the lack of an SQL agent makes completing time-specific tasks very complicated. Also,It would be great if Microsoft can develop a more user-friendly UI for migration to SQL server.

Managing entire enterprise data is very convenient through Azure SQL Database. I use it for most of the database management functions such as upgrading, patching, backups, and monitoring without user involvement. It helps in improving efficiency and accuracy to a great extent.

Ability to create customized Docker container images and super easy deployment and then run them on Azure App Service Platform. The best part is ability to run them in Windows and Linux.

Nothing so far. Sometimes while deploying it says service not available.

I have created and working Blazor application running in a container on Azure!

It is PostgreSQL. I use it on-prem, so being able to use it in Azure provides commonality for me. It is managed so it takes that burden away from me. It performs well, can have read-replicas, so all is good. Priced reasonably and for those that only need what it offers, is a great way to save money over the alternatives like Managed SQL Server or Azure SQL, or even something like Oracle. While MySQL would be a similar option, I find I prefer PostgreSQL to MySQL for a number of reasons.

Working with clusters is not as seamless as AWS's Aurora/PostgreSQL. There is a Hyperscale (Citus) option but it is quite pricey. Something that auto-fails over to the read-replica that gets promoted to the writer would be nice. Microsoft obviously prefers their many SQL Server offerings and so invests more there, and while that is expected, it would be nice if more was done on PostgreSQL, but that would make it more competitive with the SQL Server options.

Providing SaaS for my application using the same components as on-prem. No need to port to another DB or learn the intricacies of another, I can just use the support my application already has. Application is a traditional RDBMS application with reasonably high transaction volumes. Customers increasingly want to have our software provided as Software as a Service and while we started on AWS, we have demand to offer it on Azure as well and the PostgreSQL support eases the migration. What we are after is a standard RDBMS and use Aurora/PostgreSQL in AWS which provides HA with scale out readers that can be promoted to writer on the event the writer fails.

Easy to use and in healthcare it’s approval is an advantage

Lack of Knowledge from the support team

We needed something modern and more sophisticated for a storage solution

Azure container for me is a totally different service to any storage system, it seems to me a totally useful tool because it has other extra tools to keep the information in the cloud totally safe, in a totally economic system easy to use and also not it is necessary to have a prior knowledge to understand how the system works everything is intuitive and technical support is always there to collaborate, the cloud is completely comprehensive and it is not necessary to maintain a security filter because you already have it in your system I love it because I am sure and my information is in order.

I find it somewhat annoying to be constantly updating the system or the application in order to eliminate errors, it seems to me that it is necessary to find a viable solution to carry out individual updating to eliminate errors permanently, although it can be complicated.

The company found itself with a lot of information, especially in the marketing area, with so much advertising, images, campaigns, service and it was necessary to look for a solution where all this information could be stored without being lost or stolen, that's why I decided on Azure for a solution to be able to use as a cloud service which has been working well.

The best thing that I found in Azure Linux Virtual Machine is the process followed to create it. It's very simple and some of the features like users have the leverage to either use SSD or HDD for their virtual machine at the very beginning of it's creation process is really nice.

I have faced ssh disconnection a couple of times while using the virtual machines. Although it does not happen regularly, still occasionally it can hamper your work.

I have used it to create kubernetes cluster to test pods connectivity using network CNI plugins.