Microsoft Azure Reviews

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 use Azure for a variety of services and we are in the process of configuring everything. We use GoDaddy to host our domain, and then we provision from GoDaddy for services such as email. This is one of the things that I just recently configured.

Right now, we're in the process of setting up the firewall. This provides us with security for the website. Firewalls are something that I have a lot of experience with because, in my previous organization, I dealt with audits and other similar tasks that depend on security.

The most valuable feature of Azure is the flexibility to pick and choose what you need, on the spot, and then be able to manage it yourself.

In Azure, everything is pretty straightforward. Once you know it, the platform is very easy to use.

The training material that they have is very good, and it's easy to understand.

Most of the problems that we've had are related to the DNS and the SSL certificate. Those two things have been a real pain. Sometimes, it happens because of GoDaddy and sometimes it happens because of Azure. Either we make a change in GoDaddy and the configuration is lost, or our developers make a change to the website and from there it gets lost.

It would be helpful if Azure provided more information on the various add-ons to give people an understanding of what they are used for, and how they're applied by other companies or businesses. One downside is that I find myself signing up and paying for things that I don't really need, and I have to call them to find out exactly what it is that I'm paying for. For example, I recently added the Azure Data Studio and I don't know what I need it for. I see that it can create a connection and run a query but I don't know if I'm going to be using it. That said, I will probably need it in the future.

My current organization has been using Microsoft Azure for the past two months. I have extensive past experience with it.

Stability-wise, it has been fine.

Azure is a scalable platform.

I have not been in contact with technical support myself. In fact, we have not had to reach out to them very often. We generally figure out things on our own but we also have an IT contract with personnel to work to resolve issues when they occur. Technical issues are something that you always want to try to resolve yourself.

Although we haven't had any problems that we couldn't resolve, we know that if we have to call technical support then we're going to be on hold for a while. This is something we don't want and can avoid by having our own IT support contract.

In my previous job, I worked for large telecom and we used a variety of products. These included AWS, as well as Azure, and we also had our own cloud that we leased to third parties.

I received training and certification on both Azure and AWS. However, I did not have much opportunity to use AWS.

In my current company, we migrated the business from AWS to Azure within the last two months.

The initial setup for me was easy because I have experience with Azure, as well as AWS, and a private cloud in my previous organization. I was in the internal network group, and I had all of the operational responsibilities for that area.

We were able to set it up and get it working in a day.

Migrating to Azure from AWS was not a big deal.

The price of this solution is one of the things that attracted us to it.

We considered both Azure and AWS for my current company. When we began, the company already had an existing website running with AWS, but I had more experience with Azure. We did extensive research to compare the two and we found that Azure was definitely the way to go.

We were already using several other Microsoft products, which means that our environment is more compatible using Azure.

My advice for anybody who is implementing Azure is to look at the training materials that they have available. They are very easy to understand and I recommend running through the ones that pertain to your use cases. A lot of the time, it will have the additional information that is needed to understand the problem and help you to find the relevant information in other sources. For example, it contained information about GoDaddy that was relevant to our environment.

The biggest thing is that the information is all there and a lot of people don't like to look, but I suggest using the help and the instructional videos before calling somebody else. Everything is available.

I would rate this solution a nine out of ten.

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.

We are using Microsoft Azure mainly for our test environment. Addiotanlly, we use it for our enterprise resource management as we have installed a SaaS solution.

The most valuable feature of Microsoft Azure is it has everything together in one place. It is one large tool with lots of small tools that are updated often.

I have found that if you not working with Microsoft Azure's GUI every day, it's not very user-friendly. It changes very often and fast. They are implementing new functionality. If you're not working with it every day, it always takes you additional time to get acquainted with the GUI. You always have to know all the tools because it's one software solution where you work with different kinds of tools to achieve results by implementing policies and other parameters. It would be better if they had everything in one place so that it is clear what type of operations we are doing, such as DLP. However, that's is how it is with all of the tools of Microsoft Azure at the moment.

There is a need to be better on-premise solutions that are more helpful. However, I don't think that is the goal of Microsoft Azure. They want the solution to be secure cloud solutions with cloud applications. This is their main goal at the moment.

I have been using Microsoft Azure for approximately five years.

The performance of Microsoft Azure depends on whether you have good bandwidth for your data connection, if the connection is strong then the performance is good. If you have a very poor connection, then it's can be a little slow, but has been okay.

We have one administrator and one system engineer that are using the solution. They are doing the administration for our solution. We're not a big company, we have 19 employees.

We haven't tried to scale Microsoft Azure. It's not necessary for us to scale it at the moment. We have started out with one issue where we needed it and for very sensible documentation, now we are using it in different kinds of projects. For example, for many types of data classifications.

If it's necessary we will increase usage. Otherwise, we will keep the same amount of usage.

The technical support of Microsoft Azure was helpful. They were very good because they spoke the same language as we did. We both spoke German. It worked very well, we have no complaints.

Some of the aspects of the implementation of the solution are very easy if you know which tool you have to use. It's not too complicated if you know which tool you will be using but to find the right tool to do the necessary functions sometimes takes some time. I'm not doing the setup every day. I have one engineer that it is his job. But nevertheless, I also want to do the setup to know how it's working.

I am not sure how long the implementation took for our DLP project, once we started the implementation we started to use other tools and eventually returned to the main project.

We did the implementation internally.

We have one engineer that is administrating and supporting Microsoft Azure.

With every cloud solution, you have to know what you need and the cost can be fine. The price can be a little bit high depending on how you manage your costs, but overall it's still a bit cheaper than an on-premise solution but with the advantage of flexibility. You're always up to date with the software, you only need to use it. You no longer have to be concerned with the on-premise physical security. We do not need to create a data center, it's more convenient for us.

Some of our customers are looking for on-premise solutions other than Microsoft Azure which is cloud-based. We help them find the solutions they need.

My advice to others thinking about using this solution is to try it out. There are features which are very good and some other features where you should watch out but that's for every solution, you have pros and cons. When you're a small company, try everything out that is offered by Microsoft because they're one of the best. Microsoft is still the market leader in a lot of fields. I would suggest using Microsoft tools if they fit the relevant use case. If the solution does not fit the use case, or you need more security or other aspects, then you can look around for other tools. additionally, on the marketplace, Microsoft provides enough other tools you could use.

I rate Microsoft Azure an eight out of ten.

The existing infrastructure of our customers is on-prem. We will be migrating or moving from on-prem to Microsoft Azure cloud.

We don't have to spend money to purchase the hardware, set up a data center, get people to work on it, and maintain security. We don't have to spend any money on these things. It is ready to use, and resources are available for us. We just create an account on Azure and start using the services. 

The time to market is very fast. We just supply the resources, virtual machines, and databases, and our applications are up and running. This helps our customers and us to be more future-ready and cloud-ready.

Its scalability is valuable. Depending on our requirements, we can add as many virtual machines as we want. We are able to get high availability for services. Services are always available, and they have the maximum uptime. If there is any issue with one of the services, another service is always available. 

It is pay-as-you-go. You don't have to spend any money upfront. You use the service and pay after one month or a couple of hours of use.

For deploying multiple resources in a big number, such as in hundreds, we need a streamlined process and more user-friendly scrips. The scripts have to be more user-friendly, and they should also supply some standard templates to deploy multiple resources at a time. Currently, it is very easy to deploy a couple of resources, but if you want to deploy multiple resources, it becomes complex.

The material that they provide for integration with an existing on-prem data center is complex. They have to make them user-friendly. The scripts related to resource management need to be simplified.

I have been using this solution for one year. In our company, we have been using it for four to five years.

It has a very high uptime for services. They are able to provide as per Service Level Agreement (SLA). We are not seeing any downtime for our applications. Our users have not reported any issues. 

They have their internal redundancy for hardware and software. If there is an issue with any hardware, another hardware is ready to take the load.

It is very scalable. We can add as many virtual machines as we want. We have 400 to 500 people who are using this solution.

I have not worked with support. We work in a design team where we have a dedicated Microsoft account partner to provide support. That support is fine. If there is an issue with running virtual machines or there are any infrastructure issues, another team takes care of that. I've not got any complaints from them that their support is not working.

Previously, we had the regular on-prem solution with our own data center. We had to deploy physical servers, networks, databases, and everything else. We needed flexibility and scalability for our customers and applications, and that's why we moved to the cloud.

The initial setup was easy. 

It is operational expenditure (OPEX). There is no cost upfront. When you start using it, you have to pay the charges. Initially, the cost is less, but after you start using it more and more, the cost will go higher. It is a little bit costly, but that is okay because you get better resources. You also get better support in terms of how you create the resources. Documentation is available, and the SLAs are met. 

Companies are now starting to switch over to Azure, and before doing any kind of migration, they need to plan each and everything from scratch. They should have a Microsoft consultant or somebody from Microsoft so that they can plan well before using Azure. Otherwise, they will not be aware of where they are spending and how they can reduce the spending. They would also not know whether their security compliances are being met and whether their network is being fully utilized or having some issues. Proper planning has to be done before using Azure. 

I would rate Microsoft Azure an eight out of ten.

We use Microsoft Azure for many different services. For example, we use the Azure Boards for work and issue tracking. The Azure Repos is a place we store code, it is similar to a Git repository for us. Microsoft Azure has pipelines for the deployment of your applications across environments. There are different cloud services for different use cases in Microsoft Azure that I interact with on a daily basis.

Microsoft Azure has benefited our organization mostly because we moved all our infrastructure to the cloud. That has helped with cost optimization. We don't have to worry about operational maintenance for things such as patching or updates for any of the servers because everything is handled by the cloud itself. We are always using the latest version.

Microsoft Azure has hundred of services that they offer on the platform.

The Microsoft Azure platform in itself is very good. The documentation that is available I find very handy and the community behind it is helpful. If you have any problems or anything, you can easily reach Microsoft's community, and then there would be someone who would be willing to help. That's a very good plus point for Microsoft Azure.

There are times when using a service in Microsoft Azure can be confusing because you have four or five options that do similar operations. It would be helpful if there was a clear decision tree around those features. Microsoft does provide a lot of decision trees around a lot of their services, but it's not for everything.

This would be helpful for the users because sometimes it gets confusing what to use, what not to use. Then you start with something, and then after two months, you think you should have used something else. There are approximately 200 services and I have found this issue with approximately 10 of them.

I have been using Microsoft Azure for approximately seven years.

Microsoft Azure is stable, I did not encounter any issues or anything in the platform. The uptime is very good. 

When you design your solution, you can make sure that everything is accounted for in your design, such as all the options are there. Microsoft Azure in itself is rarely down. If there is a complete blackout it can happen, but normally no. It's very reliable.

The scalability of Microsoft Azure is unlimited. You never have to be concerned with scalability. You only have to pay for it and then the scaling is available for you.

I have approximately 50 to 100 people using this solution in my organization. I use the solution on a daily basis.

I have not needed to contact the technical to Microsoft in my current experience. In the past, I have contacted Microsoft once or twice, but the process is straightforward. You raise a ticket, and then Microsoft's people reach out to you.

The initial setup of Microsoft Azure is very straightforward. You don't have to do any setup. You only have to sign up on the Microsoft Portal, and then you can start using it.

I did the implementation of Microsoft Azure myself.

There is not any maintenance required for this solution. If we build any solution on top of Microsoft Azure, then that's something that we have to take care of and maintain. The Microsoft Azure platform in itself does not need any maintenance from us.

Microsoft Azure is not expensive. You pay for what you use. If you are using it everything could be expensive.

We choose Microsoft Azure after doing the proper comparisons and proof of concepts. We did a complete pros and cons list for our vendor selection process.

I would highly recommend Microsoft Azure to others.

I would advise others that one of the most important points to make is to make sure that the security and governance of the platform have been thought of before you start building everything around it. Make sure you build your security framework and the governance framework around the platform that suits your company. Every company is different. Everyone will have different security and governance rules.

I rate Microsoft Azure a nine out of ten.

I was testing the integration capabilities. I deployed a simple solution with a front and back end with an SQL database. For the server-less solution, it was just to interact with the database. That's what kind of the load that I was testing. The use case was to integrate with the directory, authenticate, and then consume some of the services there.

One of the services that I found to be great is the connector. For example, the other day, I was creating an application for internal research. With that connector, it was really easy to integrate some services to interact with the connectors. The credential allows you to authenticate with the active directory. Then, with that authentication, you can have the assurance that the people who are consuming the application are the right ones.

I know there have been a lot of improvements and a lot of new services lately. I'm really not aware of all of them.

One thing which is great is that they give users hub integration. That's a strong aspect, which would be good for many people and clients and developers so that they have that integration right away.

I haven't checked the console for some time, however, compared to the AWS console, the interaction console of the web part, the web services, it's not so easy. That will be a good area to improve, which is to make the console for interaction with services a little easier.

Another point to improve could maybe be the pricing model or maybe the interaction with information. When you look for information in AWS, it's more straightforward and clear. It's hard to find that information on Azure.

I used the solution for maybe one month at the beginning of maybe March of this year. I was doing some tests with Microsoft Azure. I was deploying some services.

The stability is good. There are no bugs or glitches. It doesn't crash or freeze. It's reliable. 

The scalability is fine. However, it may be another thing to improve. I haven't look looked at it in some time, however, I remember at the beginning, I tried to research for the price, for rates, and things. I didn't find it easy to locate, which made it hard to gauge the cost of scaling. 

From my side, I don't plan to increase usage. Right now, I'm working for other clients, and with the solutions of the clients. For research purposes, I will do maybe one or two instances, just for testing. It's not a big deal.

While I've never needed technical assistance, my understanding is that it's pretty good.

It was not very difficult to set up the solution. In the beginning, it's a bit difficult to just find the services and things like that. They need a kind of list or something, something more visible. That would help. 

Our implementation was not too big. It took maybe two days. Another deployment we did took maybe three. I'm not really a complete expert. It might have taken a bit longer for me due to my lack of experience.

I did not use consultants or resellers for deployment. I did it myself. There wasn't too much pressure. I was doing the deployment more for research purposes. 

The price of the solution is unclear. it's hard to find the costs. 

The company I am working for is a Microsoft partner.

I'd advise potential new users to try to get as much information as possible about licensing and about the products that they are going to use. That will be good to have a very clear understanding of. Beyond that, it's not a problem to get started and go.

I'd rate the product at an eight 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.