Microsoft Azure Reviews

We are using Active Directory in Azure, so it's for all of the Office 365 services.

This product is quite easy to use and is available on-demand.

There are so many services available that the interface is a little bit messy, and when you're looking for a specific service, you have to know exactly where to search. Having better visibility in the interface would be an improvement.

We have been using Microsoft Azure for a couple of years.

This is a stable product and we plan to continue using it.

Azure is a scalable solution. We have approximately 150 users.

We have used technical support and it is very good.

As a cloud-based product, there is no installation.

This is an expensive product.

In summary, this is a good solution, and other than some improvements to the user interface, I cannot think of any features that are missing.

I would rate this solution an eight out of ten.

It's similar to AWS.

It's an infrastructure as a service.

It's a cloud service, so it's always up to date.

If you compare it with AWS, it is not very friendly to use. I find the UI better to work with on AWS.

They easily provide service with Windows, but not with Linux.

I am a beginner, and only been using Microsoft Azure for a couple of months.

Microsoft Azure is pretty stable.

It's a scalable product. Because it's a cloud service, there is an infinite opportunity for scaling.

We only have one or two people who are using this solution in our organization.

I reached out to support once, but they were not that quick to respond.

Technical support could be faster.

I have experience with AWS and Microsoft Azure is not that friendly. It is a bit complicated compared to AWS.

It's a cloud service. There is no installation.

It is expensive, but it is less expensive than AWS.

Even with it being cheaper than AWS, the price could be cheaper.

It is similar to AWS, where it is on-demand and is billed monthly.

We are not currently using this solution and we are not sure if we will be using it in the future.

 For those who are connected to the Windows Operating System, I would recommend this product. However, I would not recommend it for a Linux environment.

I would rate this solution a seven out of ten.

We use it to host virtual machines and migrate new web applications to the cloud.

With Microsoft Azure, we have a platform that lets us easily deploy applications to the cloud.

They should create integrations with more platforms.

I have been using Microsoft Azure for a couple of years.

It enables great scalability.

We are satisfied with the support from Microsoft.

It was quite easy to setup.

The current pricing is on a pay-as-you-go subscription.

It's primarily used for access to the cloud or the virtual machines and to have a cloud-based solution that can handle tasks such as data processing, or for having data storage, and all types of other things.

The product is very flexible.

The performance overall is great.

It's a great advantage for a company to be on the cloud. It gives a company nice advantages.

The solution has proven to be quite stable so far.

The solution has been scalable.

There are no new releases per se; the solution simply adds on more services over time. 

The solution needs to offer more data analysis services. It would be extremely helpful to Azure's clients if they had more of this.

I've been using the solution for about a year or so. I believe it's been around 12 months. It hasn't been that long.

The stability of the solution has been very good. There are no bugs or glitches. It doesn't crash or freeze. It's reliable.

So far, we've found the scalability to be pretty good. If a company needs to expand, it can do so with ease.

We have about five people working directly on the solution currently.

We haven't really dealt with technical support. I can't speak to how helpful or responsive they are. I've never had any direct interactions with them personally.

There isn't really an initial setup. It's on the cloud. You don't really have to deploy anything or set anything up.

Our customers don't have to pay any licensing fees in order to use Azure.

As we are on the cloud deployment model, we're always on the latest version of the solution. It is always automatically updated for us.

Overall, I'd rate the solution at an eight out of ten. We've been pretty happy with its capabilities so far.

In general, I would recommend the solution to other organizations.

Our use cases are basically cost agility and efficiency.

Microsoft Azure really enforces the automation capabilities of our workforce. It drives us towards a new operating model in terms of delivering services more quickly and more automatically.

I think Azure's level of automation to achieve efficiency or agility is valuable. I also like the change capability cadence, the showback capabilities, and understanding what our costs are. We don't have that in our on-premise environment. That whole showback capability is very interesting for us. It helps to hold the stakeholders accountable for our spending. 

Talking about improvement is like a double-edged sword. We like that they have the new capabilities, but sometimes they're deprecating capabilities faster than we can handle. If we had to improve it, we would want to stay on some of these older capabilities a bit longer. It's a brilliant platform for our staff to be more agile and more efficient but probably doesn't match with us in terms of maturity.

For example, they offer this tagging capability, but they keep introducing new platforms without it. We've become heavily reliant on tagging, but in the case of NetApp, they introduced it into the environment, and now we're not able to get the showback off of that. 

If they introduce new capabilities, they have to have all the features and functions on that new capability. They're not very good at that. If they introduce new capabilities, all the feature sets on these new capabilities should be available immediately. From my perspective, that's where they need to improve.

We have been using Microsoft Azure for about a year.

Stability is very good.

Microsoft Azure is very scalable. Our data center staff are using the solution, and then the application teams are engaging the data center staff to use that solution. We've just had a few use cases in there, and now we're just gaining experience.

Like with any new technology, we're currently re-skilling staff. It's the way we're approaching it on a six to 12-month journey before we start to get to the product and the benefits.

Technical support is average.

The initial setup isn't straightforward. You need to bring in an experienced system integrator to help you with the knowledge transfer. That's the approach we took.

We brought in an experienced system integrator that helped us build the environment and did the knowledge transfer into our workforce. I think that's a requirement. We had a very positive experience with our system integrator. The setup, we call it the Azure landing zone, and it's the data center. To set up the foundational build was a three-month engagement.

The system integrator is the intermediary between Microsoft and us. That's the value proposition of a system integrator. The system integrator helps cut through some of that. Microsoft is a big organization, and it's sometimes very hard to get to the right resources with the right knowledge. The challenge with Microsoft is that they have multiple solutions, and it's up to you to pick the right solution path. That's very hard for most organizations to do.

It's a metered environment, and it's pay-as-you-go. That's the big challenge with a metered environment. The challenge is optimizing how you use that to reduce your meter costs. It's like your children have to be good at not leaving the lights on in their bedroom to save on the power bill. That's a cultural change. 

You have to change your consumption patterns, and that's hard to do. You can get a very big bill because your consumption patterns aren't very good. We're no different than any other organization that's gone to a public cloud. You get these surprise bills, and then you've got to figure out how to manage them down appropriately.

For us, the additional cost is connectivity to the Azure data center. They said that we had to set up an Equinix data center to get from our location here in Regina, Saskatchewan, to Toronto down East. Those are some big new communication charges that we didn't have before.

That adds a significant cost to that. Private internet connectivity to a cloud is a big expense. That can be a very big cost, especially for remote businesses that are co-located to cloud data centers.

Microsoft Azure was a strategic choice. We wanted to go with a multi-cloud model, but we felt like we didn't know enough about clouds. We just kind of thought Microsoft was one of our strategic partners and decided to go with them and learn before we took the multi-cloud approach.

The advice I would give potential users would be to focus on their cost management skills and metering skills. It's all about managing your consumption. You've got to understand your consumption patterns and then learn how to manage consumption patterns going forward.

It's a really good product. In terms of leading hyperscalers, they offer very competitive features, functions, and rates compared to AWS and Google. They continue to advance their technical capabilities as rapidly or more rapidly than the other two hyperscalers. So, I would rate Microsoft Azure very high.

On a scale from one to ten, I would give Microsoft Azure a nine.

We use Microsoft Azure for blob storage and for a lot of the components that they have inside the cloud.

The integration with Databricks is the most valuable aspect of the solution. It's easy to use and to put on the pipeline. Data Factory and Databricks together build a pipeline. They really integrate very well.

The stability is very good.

The solution is comparable to AWS in terms of pricing.

The design of the platform is not so easy to navigate. It's not very user-friendly.

Some services are more difficult to use in AWS and GCP. I have projects on the three clouds, and some things are easier to do on AWS. On the other hand, using Databricks on Azure is easy, as they are integrated well. However, some products are more difficult to use than other products. 

The stability has been good. There are no bugs or glitches. It doesn't crash or freeze. It's reliable in terms of performance.

We have about 30 people using the solution.

I don't really deal with technical support. I'm the data scientist manager. The engineering team would be the ones that would reach out for help if they needed support.

In terms of deployment, each product requires a number of staff to deploy the model of machine learning or to build the stature to consume the data. It really depends.

I don't handle the licensing or payments aspect of the solution. I can't speak to the costs involved or what the license looks like. 

In AWS, our monthly cost was something around $10,000 or something close to that. We had to pay around $120,000 a year. It's most likely something close to that.

We are a customer and end-user. We don't have a business relationship with Microsoft.

We deployed the solution in multiple ways. We've used the solution both on-premises and on the cloud.

I'd rate the solution at a seven out of ten.

We are using it for disaster recovery and application hosting. We always have its latest version because it is cloud-based.

It is easy to use. It is also stable.

Its subscription price could be cheaper.

I have been using this solution for a couple of years.

It is stable.

We have about 40 users of this solution.

Their technical support is fine.

We used Google Cloud. We switched because we're a Microsoft Partner.

I didn't do the installation, but its installation is easy. For its deployment and maintenance, we have two engineers.

It is affordable, but its subscription price could be cheaper.

I would recommend this solution to others. I would rate Microsoft Azure an eight out of ten.

It is a very easy-to-use platform, and it is very powerful in terms of data backup and Blob storage. It has very good features, especially if you are using Microsoft products, such as Windows, Microsoft SQL Server.

They should optimize their pricing so that we can use more features. I would also like to see more auditing and more security for the Blob storage feature.

From a technical point, it has very good features for Microsoft products, but for non-Microsoft products, it may have some limitations. I have mostly worked with Windows-based integration, and now I am trying to use it for open-source systems. It is good but not as easy as Microsoft products.

I have been using this solution for two years.

It is a stable product, but it also depends on the configuration.

It is very scalable.

It is quite straightforward.

Its price should be optimized so that we can use more features.

I would rate Microsoft Azure an eight out of ten because my environment is Windows-based. For a non-Microsoft environment, I would rate it a seven out of ten.