Microsoft Azure Reviews

We deploy all of our projects in Microsoft Azure. We are a startup company. We have been since the beginning deploying our code in Azure cloud. We are actively using the full capabilities of two cloud services.

The application services are the most valuable in Microsoft Azure. I'm not using them directly but I am using the function and the web applications. I don't need to pay a lot for the maintenance. I do not need to have a DevOps employee. 

I am familiar with Google, and everything I was doing was in Google. I had to control my back proxies and do my own configuration files. With Microsoft Azure, it is all easy.

The documentation can be outdated and is not as clear in Microsoft Azure as it is in AWS or Google.

I have been using Microsoft Azure for approximately four years.

The solution is stable. 

It's easy to monitor, there's no problem with the code in their development. We had some stability issues, it was not the fault of Microsoft Azure, but it was the mistakes of the developers. It was easy to monitor it in Azure.

Microsoft Azure is highly scalable.

On only one web application I created with one service plan I can connect 10  projects. Imagine one machine can run 10 projects at the same time because whatever the project has more requests or demands, it will scale its machines and auto-scale down. This is why it makes it affordable. I can control which project is demanding more computing power or storage power.

We have approximately 50 people using this solution in my organization. It is mainly back and front developers.

We are drastically increasing our usage because last year we were running 13 projects, and now 19 projects. In 2022 we are trying to double our team.

The support could improve. For example, Python is needed for Microsoft Azure,  and the lack of documentation for the community is a problem. If you are a Python developer Microsoft Azure released an update to Python at the end of May 2021. Theoretically, I can use it with Python, but if I have a problem I need to call a Microsoft engineer to solve it. It takes some time. However, I did receive very good support from the Microsoft engineers to make my system production-ready, but language support for Python and other languages is coming late.

I have used other solutions, such as Google and AWS.

When comparing these solutions to Microsoft Azure, AWS has better documentation, Google's cognitive services, and predictions give better results, and Microsoft Azure has the best UI. If you want to reach the database of Google, there is no such SQL manager UI. Microsoft Azure UI is easy to use and has great tools.

The deployment's easy and the pipelines are easy from the Azure DevOps, everything is integrated and it has good security. The overall setup is extremely easy.

We have a team in London that is maintaining the solution. We have 450 backend developers at this site and approximately five people are looking after all the maintenance and admin roles. We have database and developers administrators that are giving access to the people for the production maintenance. 

I am very happy with the solution.

Thanks to the training I have received from Microsoft Azure, which cost £60,000, I'm up-skilling all my team for the certification, databases, and machine learning tool. Every month I'm receiving approximately £1,000 from the training credit for the up-skilling.

It is simple to start with Microsoft Azure if you know the application life cycle. You can try so many things without any cost because of the serverless system. You will not be charged for any request at the beginning. For example, you are creating a function application in Azure the first 10,000 requests are free. It is great because you can anyone a developer to test anything.

They're not using very heavy machine learning systems, the system is generally cheap. For example, they are giving a free month trial and a developer can't finish it personally if they do not use a large computing machine.

At the moment they are adding new features faster than I expected. For example, they have Python support but five years ago there wasn't any Python support. They were slow at the beginning but now it updates very quickly. For example, the community services for the low code, no code power platforms, and the power platforms.

I spoke to my developers, machine learning engineer, data engineer, and data scientists and told them please use the auto ML or the community services better. As a London business user site team, we can create all the virtual agents and AI builders with the no code platform for the machine learning models for the power applications. The auto ML is very powerful and you don't need to be an expert in machine learning.

I rate Microsoft Azure a nine out of ten.

Our current client is in the securities business, so we deal with a lot of trading data, like securities, holdings, etc. We evaluate the data quality of the daily file that comes from the current providers and transform that data using PowerPlay and Dashworks.

We're building cloud-based data warehouses by adapting on-premises data warehouses in MySQL Server. Initially, we migrated everything to the Azure SQL Data Warehouse to take advantage of all the MPP technology and stuff. In the process, we realized it was expensive for us, and we didn't need all that capacity, so we migrated that code to a simple Azure SQL database. We made it work from that point.

In our current project, we're using Power BI with Azure. We directly import data from that SQL database into Power BI using PowerPlay and ask the client architect to do some data engineering so we have serverless capacity in Azure. Right now, we are migrating to Azure Synapse, and we are actually in the process of doing a couple of PLCs with serverless capacity. Maybe we'll also use Databricks. 

Azure Data Lake is useful. We are in the process of populating the data lake for our current project. Also, we are directly importing for Power BI to using PowerPlay.

There is room for improvement on a couple of Azure services. One that comes to mind is Data Factory. Microsoft has improved a lot of Data Factory's capabilities, so maybe it's now possible to make a green custom database within Azure and Data Factory. 

I think it would be good to keep making progress on giving users the ability to do action calls on Data Factory. Right now, it's mostly local. Perhaps Microsoft could add the ability to put some calls in the workflow. Airflow is a good example. You might say, "Why not just use Airflow?" And maybe you could use that, but I think it would be better if all these things were possible with Data Factory. 

We've been working with Azure for a couple of years. I work for a tech consultancy, so we're not tied to just one project. We work with one client for a year or so, and then we work with another client the next year. Mostly we build data warehouses with SQL using Microsoft Synapse. We also do some things with Power BI and PowerPlay.

Azure is stable. We've never had any problems. 

When you work on the cloud, it's a straightforward process. You start on a PLC and start adding more components like maybe some security with a private network and so on. It's effortless for us to scale by adding additional components. Scalability depends on the service you're going to use. For example, if you are going to change from a SQL database to another database or another inter-processing ending, it's not going to be that easy. It happens with all providers. 

It is easy to set up Azure. For deployment and maintenance, we have a team of five or six people consisting of one tech leader, three developers, and one QA.

Azure's pricing could be more competitive. Some clients mentioned that they are considering switching to AWS because of the price. And AWS can provide you with the instant capacity called SpotLink. 

I rate Microsoft Azure eight out of 10. It's okay for all the use cases we've had so far. If you are going to do it on your own, make sure you read the documentation. All the information is there. Microsoft documentation is good. But if you don't want to take on that burden of reading documentation and so on, you can contact support. They'll know better than you. This is crucial because of the cost. If you choose the wrong services, you could waste a lot of money. 

We have our data lake on it. In terms of deployment, I believe we have a hybrid deployment.

We can temporarily build out an environment for different scenarios, such as testing, and when testing is done, we can shut that environment down. So, we do not have an overhead in our own data center.

The ability to scale down is a big thing.

It can be improved in terms of ease of billing or monitoring of the billing. That gets to be a little difficult.

I have been using this solution for four years.

It is absolutely stable. Microsoft doesn't want to sell something that isn't.

Its scalability is excellent. You just turn something on, and it is there. We have not made any reservations on it. We can scale up and scale down as needed. There is nothing that we have that is a commitment.

We probably have about 500 users, and they are administrators, developers, BI folks who actually manipulate it and create reports, and then we have end-users for the data. They are the people that use those reports.

In terms of the plans to increase its usage, right now, we're going through a merger, which will impact the data a little bit. So, we are in a holding pattern in terms of scaling up anything until that merger gets completed.

We go through a third party for that, and their support is really good.

We were fully on-premise with some SaaS platforms, and we then moved to Azure for a part of that.

It was complex, and that was mostly because of the security needs. We had to understand how things fit together.

The original deployment, just for testing, took about half a day, but to really get it going and to be able to allow access to people, other than the administrators, took more time. We're a financial institution, so we had to have everything monitored and secure. It probably took about four months to get it functional on the production side.

We used a consultant. They were excellent. They knew exactly what they were talking about. They were able to give us not only what was needed presently for our deployment but also the things to think about as we let the environment grow in the future.

For its deployment and maintenance, I've got security folks who watch what's going on. They make sure that only the right people are getting the right data, and it is not being allowed to folks who shouldn't have access. I have nothing public-facing on it. I've got administrators. I've probably got three people in security and five people in the administration. We're a 24/7 business, so it is split across all of that time.

Originally, when we implemented it, it was basically in a like-for-like way, which is not the way the platform is designed. So, once we were able to really get in there and figure things out, we figured out that we could use a much smaller footprint. That helped us out quite a bit in terms of a return on investment. We are seeing probably about 75% of the regular data center cost in Azure, so there were 25% savings, but we could see that go down as testing was being eliminated over different platforms.

Currently, we do not have anything reserved. There are no reservations that we have built into the Azure environment, so all of our licensing is on a consumption basis. As things spin up, those licenses spin up.

In terms of the additional costs incurred beyond the standard licensing fee, such as for operations, it's kind of tough for me to judge because I already had a fully-staffed operations team in a fully on-premise platform environment. So, we didn't spin up anybody extra for that. It just changed what they were doing.

We evaluated other options. We decided to go with Azure because we understood the licensing and VMs and how all of that worked together. Prior to the merger, we were looking at bringing the platform onto AWS. It wasn't that we were necessarily exclusive; we just felt that this was our best first step.

I would advise understanding what data you're going to be putting out there, and what your security requirements are for that. You should be ready to have a workshop so that everyone involved knows what's going on. Get a good understanding from the accounts payable team about how the payments are coming in and how to monitor them.

I love the product. From a procurement standpoint, I don't have a lot of control over it. Unless we've got some contracting of what we plan on doing, I don't have a lot of control over licenses, etc. An administrator can just go out, do it, and put the licensing in place, and then it is like you've got to pay for it. It doesn't function well in a P2P type of environment.

I would rate it an eight out of 10.

We're using Azure Premium P1 and it hosts our website and most of the applications we use. We are an airline company and for some of our enterprise apps, it enables things like single sign-on and hosts most of our virtual machines, as well as some of our web servers for the on-prem application. Our customer mobile app for purchasing tickets is for that purpose but we also use it for enterprise apps. I use Minecraft for my email security, but I integrate it with Azure to incorporate the single sign-on, as well as for multifactor authentication in my Office 365 environment, and the productive Parti app. I'm an IT security specialist and we are customers of Azure.

The feature I appreciate is that everything is basically shift forward from a security standpoint. Most of our systems are integrated with Azure for authentication purposes. Given that I'm a security specialist I use it for that purpose. The rest of the team uses it more for things like application deployment. I also use it to determine sign-ons, and things like compliance to devices. 

Microsoft allows you, via Azure, to have different authentication methods. You can use the Microsoft Authenticator app, text or voice, or something called a FIDO, which is like a USB security key. Unfortunately, the authentication method only allows me to have up to 90 users, and there are 2,300 people in the company. When I have to push multifactor authentication, I cannot specify certain users for the authenticator app. It forces me to lock it down and say conditional access only allowed.

Another issue I have is that Microsoft notifies me retroactively about certain things. For example, when a user sends an email with over 200 recipients, it can take half an hour for me to get a notification but sometimes it can take 24 hours. I have the same issue when it comes to things like phishing attempts. It's a problem. 

I've been using Azure for three years. 

The solution is stable, although I'd like some advance warning when they make changes. It can sometimes take hours to update so that if I have a user using multifactor authentication and I take them off, it can take up to an hour for it to take effect.

Technical support is very good. 

I can only speak from my own experience and I have many Microsoft certificates, including as a Microsoft solution architect expert in Azure, so it might be easier for me than it is for others. I tend to do a lot of things on the app and I use it on a daily basis. Even if I don't know where something is, the documentation on techniques, everything is there. I wasn't involved in the deployment at this company but in my previous position, it took a couple of days, not very long. Microsoft provided support. It's just a matter of configuring the tenant.

I would recommend Azure because there's a lot of documentation available and a lot of user guides, it has everything. 

I rate the solution eight out of 10. 

We use this solution for single sign-on authentication.

We like that you sign in only once and that grants access to all of the Microsft applications, as well as others such as ServiceNow and SAP Concur.

Ease of use could be improved. You wouldn't just be able to use this solution without being trained on it.

We have Microsoft Azure for approximately five years.

We are always updating Microsoft.

It's been pretty stable. There have only been one or two instances where Microsoft went down. One time, it was the building's main operations center that was struck by lightning and caught on fire.

We have 20,000 users in our organization who are using this solution.

As we acquire other companies, we will increase the usage.

Technical support needs improvement. If you are able to get a rep then it's great. If not, you are left hanging.

Previously, we used Okta.

We switched over because we got the Enterprise package with Microsoft Suite.

The initial setup was completed by our internal Microsoft team.

Microsoft Azure definitely provides us with a return on investment.

Licensing costs for Enterprise are on an annual basis. In addition, we pay to have Gartner help us negotiate.

It is best to have a dedicated team because it is not easy to use and get set up or to get acclimatized in the amount of training that you need to become familiar with the solution.

I would rate Microsoft Azure a nine out of ten.

We have deployed the NMS network monitoring system in Azure. We can monitor the network through it. There is no need to deploy an NOC (Network Operations Center) in my country. If we use Audiovi and Airspace there and install the NMS network element and Microsoft, everything is configured in Azure. Configuration is done remotely from anywhere. By entering Azure, we monitor the NMS network.

The stability could be improved.

I rate the solution’s stability an eight out of ten.

The solution’s scalability is good. 

I rate the solution’s scalability an eight out of ten.

The initial setup is straightforward and user-friendly. 

Azure offers a trial version, which you can use for free before proceeding to payment.

We are using the free version.

I recommend the solution to use it. This solution is cost-effective, with high uptime and zero downtime.

We use the solution to set up access to process queuing, configure virtual instances, obtain a domain name, acquire the necessary certificates, and deploy the web server to the internet.

Microsoft Azure has proven to be beneficial for our organization due to its quick deployment capabilities. Setting up virtual machines or any required infrastructure is fast. 

The tool needs to improve its navigation. 

I have been using the product for two to three years. 

Microsoft Azure's stability depends on the resources allocated. If you provision sufficient resources, it tends to be stable. However, choosing lower resources, like two gigs of RAM and CPUs, might lead to less stability.

The product is scalable. My company has five users. 

I haven't contacted the technical team yet. 

Microsoft Azure's deployment is straightforward for me, given my experience and understanding of the Azure system. It is not difficult for me to handle.

The tool's deployment was done in-house. 

I rate the product an eight out of ten. 

Our people are familiar with Microsoft Azure, and we use it for our day-to-day operations.

We use Microsoft Azure for operations, email, and office applications.

The solution’s learning curve could be improved.

I have been using Microsoft Azure for two to three years.

Microsoft Azure is a stable solution.

Around nine people use the solution in our organization.

We contact our local partners so that they can help us with our issues. For some difficulties, we try forums and open support. We don't contact enterprise support because we don't have it.

The solution’s initial setup is very straightforward.

We implemented Microsoft Azure through an in-house team consisting of two to three people. The solution’s deployment takes a few weeks.

Microsoft Azure is deployed on the cloud in our organization.

Overall, I rate the solution a seven or eight out of ten.