Microsoft Azure Reviews

We use Microsoft Azure for hosting websites. It provides comprehensive control over our infrastructure and services.

Azure is easy to use and visualize.

It should improve database performance and make the platform more user-friendly. Additionally, providing more tools for seamless migration from AWS to Azure would be beneficial. Performance testing should ensure that systems remain reliable and transactions do not drop unexpectedly.

It should be thoroughly testet before release. Additionally, in Kubernetes, detailed documentation should be included, especially for STO.

I have been using Microsoft Azure for five years.

The solution is stable.

Microsoft Azure is highly scalable. It enhance the application's performance by managing increased demand efficiently. For instance, if around one thousand requests per second are coming in, Azure can handle this load seamlessly. Its scalability ensures consistent performance even under heavy traffic.

If you have an issue with Microsoft Azure, they will help me resolve it.

Positive

We use Terraform to deploy and configure our infrastructure on Microsoft Azure, following a hub-and-spoke model for networking.

It is a continuous process. Mostly, it takes about one and a half months for approval and around one month for deployment. Based on customer requirements or new needs, we continuously update the resources within the Azure infrastructure.

If I create a Terraform script, it significantly reduces the need for support. Typically, just two or three people are needed to manage it.

Azure is a strong competitor to AWS. AWS has a competitive pricing strategy, but Azure offers unique benefits. Azure provides credits, which can reduce costs for a certain period. For example, you might receive yearly credits, resulting in zero infrastructure investment for that year. 

In comparison to AWS, Azure is user-friendly and has lower cost. Azure also provides good performance over time.

In Kubernetes, what we are using offers different features, which is good. We are enabling more drivers and integrations, which is beneficial. Regarding virtual machines, they also perform very well.

We are using cognitive services include the Face API.

We have built a comprehensive AI search feature, specifically Cognitive Search, and implemented it in our application.

If a product is supposed to include certain features, it performs as expected. The support team ensures it is a reliable product, without parts that don't work. Products are thoroughly tested to ensure quality. However, in Azure, maintaining new products can be challenging and requires significant work. AWS fixes these issues more efficiently. 

Some startups choose Azure because they may not have much funding. These startups find Azure services beneficial and cost-effective.

Overall, I rate the solution an eight out of ten.

My company is a platinum partner of Microsoft, owing to which we resell the platform and licenses to our customers. My company also uses the product within the organization.

From the perspective of a user who has a partnership relationship with Microsoft, I would want Microsoft Azure to provide some credits that can be used to test and validate Microsoft’s different solutions since it is an area where the product lacks.

I have been using Microsoft Azure for four to five years. My company has a partnership with Microsoft.

Stability-wise, I rate the solution a ten out of ten.

It is a scalable solution. Scalability-wise, I rate the solution a ten out of ten.

My company caters to the needs of enterprise-sized companies who need Microsoft Azure.

I rate the product's initial setup phase an eight on a scale of one to ten, where one is difficult, and ten is easy.

The solution is deployed on the cloud.

The time required for the product's deployment depends on the complexity and size of the infrastructure.

I rate the product price a seven or eight on a scale of one to ten, where one is low price, and ten is high price.

The pricing of the licenses attached to the solution depends on the requirements of the users.

The projects or workload that have been migrated to Microsoft Azure in my company is an area that is managed by a different team since I work as an accounts manager. My job role is just to get the business for our company. Once I get the business for my company, I submit the details to the technical or delivery team, which takes care of the business part.

The feature of the product that has been most impactful for our company's operations stems from the fact that everything is on a single dashboard. In general, everything is on a single dashboard or a single page where users can monitor and manage everything related to the product.

The product's scalability benefited our company's business needs since we can upgrade it or scale up to meet our needs.

The knowledge related to the integration capabilities of Microsoft Azure with the existing products in my company's infrastructure lies with the technical team in my organization.

I rate the overall tool an eight 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.

Our primary use of the platform involves a variety of architecture frameworks, infrastructure, and system needs based on customer requirements. We use it for many AI projects, cognitive services, and infrastructure management.

The solution's most valuable features include scalability, stability, and comprehensive security tools. Its AI capabilities, including generative AI and tools like Azure GitHub Copilot, have been particularly beneficial in optimizing our operations and enhancing critical processes.

There is room for improvement in the product's AI capabilities and real-time data processing features.

I have been using Microsoft Azure since its inception, for nearly 14 years. My experience with Azure began around 2010, shortly after its initial launch.

The product is highly stable. 

The platform's scalability has been vital for effectively managing varying workloads and infrastructure needs. Proper planning is necessary to utilize it and fully avoid potential issues.

Microsoft provides comprehensive support through various channels, which has been instrumental in resolving issues and optimizing our platform use.

I have used various solutions, but Microsoft Azure's comprehensive feature set and integration capabilities made it a preferable choice for our requirements.

The initial setup process can vary in complexity depending on the specific needs and scale of the deployment. We have managed various deployment scenarios, adjusting methods according to customer requirements.

Our in-house team carried out the implementation, which was supported by vendor resources as required.

In countries experiencing high inflation, the cost of Azure services can be significantly impacted. This can result in higher expenses compared to other regions.

We evaluated other cloud platforms, including Oracle, Cisco, and various vendors. However, Azure's robust AI and security features made it the best fit for our requirements.

Microsoft Azure has been a crucial component of our operations, and its continuous improvements in AI and security are promising. Staying updated with Azure’s developments through official announcements and industry news is vital for leveraging its full potential.

I rate it a ten. 

We use the product for Exchange, Microsoft Intune, SharePoint, and OneDrive.

The solution is secure and easy to use. It meets the security guidelines. It is approved by the state and the shareholders. MFA is a good feature. The reporting features are also good. The management and the logging of incidents are good. It’s a good solution for our use cases. I don't have any negative opinions about it.

Sometimes, I need better support. Microsoft must acknowledge support cases for the product. There have been some data leak issues lately. The support team is not responding to my emails. I had a call with an engineer on a weekend, and he told me he would follow up on Monday, but he hasn’t shown up yet.

I have been using the solution for one and a half years.

The tool is 99.99% stable.

The tool is scalable. We have 50 to 100 employees. We're a startup, but we are growing.

Overall, the support team is good.

Neutral

The tool was easy to install. The maintenance is fairly easy. When I have issues, I contact Microsoft, and the team helps me.

The tool is cheap.

We are not allowed to store data in Azure. Our data is encrypted via third-party software. Overall, I rate the product a nine out of ten.

We use Microsoft Azure for the hosting of websites and the management of email and the Outlook platform. We also use the solution for the storage of online files.

The most efficient feature of Microsoft Azure is that we can use it to update a website with a few clicks. Microsoft Azure is integrated with Visual Studio Code, and we can update or publish directly from Visual Studio Code.

I appreciate the GDPR that is in place with Microsoft Azure. The solution also has compliance with other country's local privacy laws. So, the privacy feature of Microsoft products is very easily accessible and available.

The solution's email hosting pricing could be improved. Microsoft Azure gives different options in terms of how you're going to access your email. It would be good if the solution could improve and give cheaper emails that can work in Outlook.

I have been using Microsoft Azure for five years.

Microsoft Azure is a very stable solution, and I've never had any issues with the solution's stability.

I rate the solution ten out of ten for stability.

Around 30 clients are using Microsoft Azure.

I rate the solution ten out of ten for scalability.

I previously used Amazon Web Services. I switched to Microsoft Azure because Amazon Web Services was expensive.

The solution's initial setup is straightforward, especially with the SSL. Getting the SSL certificate is more straightforward with Microsoft Azure than with Amazon Web Services.

We implemented the solution through an in-house team.

The solution can be deployed in five to ten minutes. You have to ensure that your Visual Studio Code is set up with the required tools for Microsoft Azure. From there on, you continue uploading to Microsoft Azure the files that you want to upload. Then, you set up your Azure to identify the domains and to sync Azure with your domain host. These are the steps you have to take. If you follow it step by step, the full process will not take longer than 30 minutes.

The website is straightforward to configure, and also very quick to update. In other words, I can update a website even from my development tool, Visual Studio Code. I use Visual Studio Code in my company to develop websites and also to deploy the websites from Visual Studio Code. So, that makes Azure completely above what I've experienced with Amazon Web Services.

Microsoft Azure is deployed on the cloud in our organization. One to five people with knowledge of Microsoft Azure, Visual Studio Code, and domain hosting are needed for the solution's deployment and maintenance. I would recommend the solution to other users.

Users need to understand what they want to deploy and what cloud services they need to use because there are different trends in each one of these cloud services. Users can go multi-cloud as well.

Microsoft Azure helps save infrastructure, staff, time, and insurance. You'll save a lot on ISO certification. I had a client who wanted a solution that would have required the client to be ISO-certified to manage the privacy or guarantee the privacy and security of data.

Overall, I rate Microsoft Azure an eight out of ten.

Compared to other cloud platforms, I find the Azure portal very user-friendly. It's more intuitive and clearer than some, but it depends on your specific needs because Azure offers many services. 

For instance, working with Synapse, a complex technology with diverse processing engines, requires deep knowledge. In our experience with clients, using Databricks, a third-party service, on top of Azure can be helpful.

There's an ongoing development, particularly concerning the Data Fabric offering launched a few months ago.

Data Fabric is an additional offering which is Software as a service "as a service" application, unlike the core Azure platform initially focused on "platform as a service." It sits on top of Azure. 

We thought Azure could be more flexible and cost-effective, but our experience suggests this separation might simplify things for some customers. It's worth exploring as a potential improvement for specific needs.

I have been using it for several years. We have used it, or we have architectures. We consult about Azure. 

We do a lot here in this area because it's also a big topic for us. But it's a more general consulting topic for me. I have some experience with it, but I do not implement it. Internally, we use some Azure services. 

We have all kinds of typically, ranging more towards larger size customers, midsized customers, and a lot in the financial area. 

For example, with a Synapse environment, we might need to switch to Databricks for better scalability. But overall, the platform itself scales very well. Based on my experience, I'd give it an eight out of ten.

Azure is the best in Germany compared to AWS or Google. It has the best German footprint, so the support is better locally.

But globally, it's good, not always the best. Some users have very good experiences with Google's support as well.  

Neutral

From the consulting perspective, we consult on every technology on the market. For example, Snowflake is a big topic on our side.  

I have a lot of history in SAP. With current or former SAP solutions.  

In our company, we are more Microsoft-based and Microsoft CRM.

The technical part of setting up such a platform is typically the smaller part. And for an experienced consultant, it's okay. It's nothing special. It's more about the processes and organization, which is important to consider here.

So, I would rate my experience with the initial setup an eight out of ten, with ten being easy. 

Typically, in Germany, we see that setting up is very complex; enterprises work well with Azure setups if users are already experienced at different points with Azure. But it's a little bit more easy compared to Google or Amazon. But it depends a little bit on the service and the environment you need.

From a technical perspective, it can set up something in a day or in some hours. That's not a problem. 

The thing is more the organizational level here, what is allowed, who can do it, where the costs are going, and so on. The process is typically much more about the deployment or, depending on whether you have already built a platform and just have to automate the deployment process. 

For example, it works very well, typically, but the initial setup of a platform is more for organizational things, but this is not what I do. 

Overall, I would rate the solution an eight out of ten. 

We use Microsoft Azure for migration purposes.

The portal makes it easier to work with the solution.

The solution's initial setup was a bit complex in the beginning. We had to go through a major learning curve before we got hands-on familiarity with it.

I have been using Microsoft Azure for one year.

I rate Microsoft Azure a seven out of ten for stability.

Microsoft Azure is a scalable solution. Less than 20 users in our organization use Microsoft Azure.

I rate Microsoft Azure an eight out of ten for scalability.

I rate Microsoft Azure a five to six out of ten for the ease of its initial setup.

The solution's deployment time depends purely on the size of the application. On average, the solution's deployment would take us anywhere from two weeks and longer. Depending on our testing, it would take us about a month to design and deploy the solution.

Microsoft Azure is deployed on the cloud.

I would recommend Microsoft Azure to other users, but they should have a strong system integrator or someone working with Microsoft to assist. The strength would lie with the organization deploying the solution; they have to be on par to understand better what is happening.

Overall, I rate Microsoft Azure a seven out of ten.