Microsoft Azure Reviews

We are using Microsoft Azure for hosting our applications in a secure environment. We are using AI and machine learning models.

Microsoft Azure has been easy to use in my experience.

I have been using Microsoft Azure for approximately two years.

Microsoft Azure is stable.

We have approximately 50 people using the solution in my organization.

The local support is fair but it is sometimes limited, the service could be better.

The initial setup is straightforward.

I am able to do the implementation of the solution.

We have some system engineers and developers that manage the solution.

The price of the solution could be cheaper in general. We are on a monthly subscription to the solution.

I would recommend this solution to others.

I rate Microsoft Azurean eight out of ten.

Public Cloud

The Canvas flow interface brings a very nice functionality that improves self-learning.

Selecting and applying a machine learning algorithm is not a click-and-run process. In this case, clustering our data has helped us to find patterns and trends that were not visible using conventional (internal) classification.

Stronger R integration in a circular fashion (Azure->R->Azure). Nowadays, it has an unidirectional bias.

I've used Machine Learning Studio for the last six months.

We've had no issues with the deployment.

By using a free account for cloud services can bring you "queued" status, but normally it runs smoothly. The quota defined for free account is enough for a variety of experiments and none of the features are blocked.

We've had no issues with the scalability.

Customer Service:

As a cloud service, online chat and email service are available, but the community forums are the best place to solve issues.

Technical Support:

We have a support maintenance agreement for Windows/Office.

There are a few competitors in place, and their number is increasing, but friendliness is the strong point of AzureML, comparing to Amazon AWS or BigML.

It does not involve any setup, just having an Outlook or Microsoft account.

Using a free account leads to offline projects. For online projects those issues must be evaluated according to client side company's environment.

Machine learning is just one part of the whole data science cycle. Big data (streaming, video, etc.) or deep learning needs must be addressed with additional tools. But for prediction/classification this is a fantastic tool.

Below is a PCA graph generated by K-means training model and its Qlik Sense panel. The idea is to segment unlabeled data based on numerical features in order to find common patterns that can be grouped, named clusters.

High availability rate anywherem, anytime. Periodic workloads options let me pay only for the time I have used it. It is easy to backup database via BCP program or tools available on codeplex site. It supports multiple languages such as Java, .NET, Ruby and PHP.

Needs fast Internet connectivity. Fear of being data being hacked or captured.

We moved our accounting database from an in-house SQL Server to MS Azure cloud and saw a significant increase in performance. We can now connect to the database even while roaming and back it up anywhere, anytime. Data replication services make it highly reliable and always available.

Microsoft Azure is easy to use.

I would prefer Microsoft Azure to increase the free trial, then developers can take advantage, and it could increase their sales.

I have been using Microsoft Azure for approximately three years.

Microsoft Azure is stable.

We have approximately six customers using this solution.

The technical support could be faster and the information should be more precise.

The installation is straightforward because there is no installation required.

The number of support staff that is required depends on the use case.

There is a monthly fee you need to pay for the use of Microsoft Azure.

I would recommend this solution to others.

I rate Microsoft Azure an eight out of ten.

Public Cloud

We use it for virtual machines.

It is quick and easy to deploy. It is flexible, and we can deploy a resource anytime. 

We like and prefer the pay-as-you-go model.

Its pricing should be better. In terms of features, I am yet to explore the whole solution, and the current features seem okay.

I have been using this solution for two years.

It is stable.

It is quite scalable. You can extend it both vertically and horizontally very quickly. Currently, we have approximately 50 users.

We haven't had support issues.

It is easy and quick to deploy.

It has the pay-as-you-go model. Its pricing should be better.

We didn't evaluate other solutions. We trusted Azure because it is a Microsoft product, and Microsoft has been in the industry for a long time. Microsoft has been providing solutions for businesses for a long time, whereas other vendors mostly provide solutions for consumers.

I would recommend this solution. We plan to keep using it.

I would rate Microsoft Azure a nine out of ten.

Easy and fast provisioning of Cloud Services including Web sites, Virtual Machines and Databases.

Great for application development testing, staging and production slots.

Better Support and community than the others.

The onboarding services are great for new customers.

No more hardware purchases, software and vendor support contracts = Lower times to production.

Great storage capabilities.

N/A

Web Apps and Functions. I had been able to reduce my costs a lot by using Functions, it allowed me to change the way we are developing solutions and reduce the time to market. Highly recommended.

Our development team uses Visual Studio to develop the solutions we work with. By using Functions, we can be more agile on the development and sometimes our developers just go online and update the code without even needing to have their computer with them.

Sometimes technical support is not fast as I needed on the first call, but once they are engaged, it is really easy to get an answer.

Five years.

No.

No, it works perfectly.

Sometimes it is not fast as I needed on the first call, but once they are engaged, it is really easy to get an answer.

No.

Really straightforward. We didn’t need to learn anything different.

Try to go for an Enterprise agreement if you have a contract with Microsoft. If you are running virtual machines, go for the CPP Microsoft Compute Pre-Purchase Plan.

Yes, AWS.

Try to go for serverless solutions or Functions to increase availability and reduce costs.

-Windows Azure is available in multiple data centers around the world, enabling you to deploy your applications close to your customers. - Its enables you to use any language, framework, or tool to build applications. Features and services are exposed using open REST protocols. -Windows Azure’s distributed caching and CDN services, allow you to reduce latency and deliver great application performance anywhere in the world. -Giving power back to the users to concentrate on the application and take away all their worries from the hosting and provisioning point of view.

-Systems mirroring is currently not available within Azure, unlike Amazon Web Services. -Lose account control to MS. -MS has calibrations to compute how much you used them, and how you plan to validate it.

The Windows Azure platform, which provides a range of functionality to build applications that span from consumer web to enterprise scenarios, includes a cloud service operating system and a set of developer services. With Windows Azure there are at least two instances of each role that the application needs and therefore, the Fabric controller load balances users’ requests between them. What this means is that there is no guarantee two requests from the same user will go to the same instance. This may be a problem with some applications that need a stateful connection with the user. A stateful connection is one in which some information about a connection between two systems is retained for future use.