Microsoft Azure Reviews

We use the product to stream data from devices to the system, transform data, and configure web apps using SaaS services.

One significant area for improvement in Microsoft Azure is the cost associated with its services. While integrating services from different vendors, the perceived costs are high, with occasional confusion about specific charges, especially in data transfer scenarios between regions. This cost factor poses a barrier for small companies, and they could simplify the process and reevaluate pricing structures.

We have been using Microsoft Azure for seven years.

The platform is stable. I rate the stability an eight out of ten.

I have worked with around 5000 Microsoft Azure users in our previous company. It is highly scalable.

In the IaaS approach, setting up virtual machines (VMs) allows for scalability adjustments based on memory and CPU consumption. Similarly, for applications developed with Azure RPA (Robotic Process Automation) or Azure Logic Apps, scalability can be efficiently managed by configuring the app service plan.

I rate the scalability a nine out of ten.

The experience with Microsoft's customer support has been middling, neither exceptionally good nor bad. The support team takes time to respond. It is a lengthy process and could be improved.

The complexity of implementation depends on the different setups. We can utilize the portal, CLI, or alternative providers like Terraform. The deployment process in Azure varies based on the specific build requirements and the nature of the application being deployed, whether it's through GitHub or directly in Azure. The time taken for deployment in Azure varies greatly depending on factors such as the complexity of the application, the number of integrated applications, the volume of code, and the artifacts involved.

The product generates a return on investment in terms of time savings on setup, installation, and scalability. It also depends on the specific consumption patterns and the extent to which Azure services are utilized for our compute and networking needs.

The product is expensive, particularly with services such as Microsoft SQL Server incurring significant costs. It could be more competitive in terms of pricing.

Azure supports the development and hosting of various applications, including those built with ASP.NET. We have developed an application using ASP.NET versions 4, 6, and 7, and then deployed it to Azure for hosting. Data analytics is one of the efficient features as well.

The features I find most useful for cloud computing needs, particularly for fax services, include Azure RPA (Robotic Process Automation), Azure Logic App, and Azure Service Bus.

We can easily integrate the product with MS SQL Server and Azure SQL Database as a service. Further, we can utilize event apps within the IT infrastructure.

I have experienced significant benefits from Azure's security and compliance tools, particularly in the area of identity management. Working with Microsoft Identity, including Azure Active Directory (Azure AD), has proven valuable for operations involving customer-to-customer (CTC), business-to-customer (BTC), and business-to-business (B2B) scenarios. The customization capabilities help us with the registration of applications under Azure Active Directory, enabling robust authentication and authorization mechanisms.

I recommend the product for small companies or startups. It is also a good option for established companies planning to reach beyond certain limitations in terms of business.

I rate it a seven out of ten.

We primarily use Microsoft Azure for data storage on the server. Additionally, we leverage Power Automate for process automation tasks. Some of our processes benefit from AI and ML capabilities, such as image processing and recognition. Specifically, we utilize the product for its Translation APIs, including language translation functionality.

We validate customer videos and speech in real-time by utilizing language translation services and image processing. This involves converting speech to text and vice versa in real-time. Customers record videos where they speak predefined text. We capture the image and speech, convert it to text, and compare it with the standardized text. Automating this process makes validation much easier compared to manual methods. On the Azure side, we primarily utilize its data storage and processing capabilities. Additionally, we leverage its AI/ML features, along with its automation capabilities.

Improving transparency in billing is crucial for us. Understanding how billing works only becomes clear once we start using the services. A more accurate billing calculator would help us anticipate costs associated with using specific services.

I have been using the product for two years. 

I rate the tool's stability a nine out of ten. 

Scalability is a key factor, so we opt for Microsoft Azure. Being a Microsoft product, we trust its scalability. Thus far, we haven't encountered any issues related to transaction processing or other scalability concerns. I rate it a seven out of ten since we are not running enterprise workloads. My company has 50 users. The usage of these use cases will increase as our business grows because they are directly related to serving the end consumer. Therefore, we anticipate a significant rise in usage over time.

Improvement is needed in the support process, especially for smaller and medium-sized customers who may not have existing support plans with Microsoft. Accessing support for these customers can be cumbersome, requiring additional payments before assistance is available. It is not clear when you buy the product. You will learn about additional support payments when you start using it. 

The tools' support is in multiple places, which can be complex for customers. It needs to be in one place. 

Neutral

I rate the tool's deployment an eight out of ten. It can be deployed in two to three hours. 

Microsoft Azure's pricing is reasonable. We pay around 5000 dollars per annum. 

We evaluated Google Cloud, IBM Cloud, and AWS. 

We don't face many challenges with compliance and security. We rely on Azure Stack and adhere to the security standards they implement. Compared to AWS, we find it much simpler and easier to achieve interoperability and integration when using Microsoft Azure. You must ensure you have the right competency before using the product. It can become complicated if you don't have the right person to manage it. I rate it 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 task management. 

The product is a cloud solution. 

Microsoft Azure needs to improve its user interface. New developers and teams have difficulty understanding its lifecycle. 

I have been working with the product for 12 years. 

I rate the tool's stability an eight out of ten. 

Microsoft Azure is very scalable, and I rate it a ten out of ten. My company has 15 users. 

Microsoft's tech support is awful. 

I used Jira before Microsoft Azure. 

I rate the product's deployment an eight out of ten. It can be completed in a few hours. 

Our DevOps engineers manage the installation. 

It's a positive experience for every development team to use Microsoft Azure, especially when working with Microsoft products. However, if working with open-source solutions like PHP or Google programming languages, opting for other cloud solutions such as Google Cloud or AWS is recommended. These platforms are considered more suitable for open-source solutions compared to Microsoft Azure. I rate the product an eight out of ten. 

We primarily use email accounts and SharePoint. We want to use AI and OCR services, but we don’t have many use cases.

It is a good solution. I can get all the tools under one roof.

There's a complexity involved in getting the subscriptions provisioned. There are too many complications. Without IT knowledge, we cannot subscribe and work. The product is not user-friendly. All the services must be available in one place so that I can get the services that I need at the right time.

I have been using the solution for one year.

The tool’s stability is good.

The product is scalable. Around 30 people use the solution in our organization. We are trying to get projects from Europe and North America. Once it is done, we'll be scaling up.

The setup is straightforward and easy. Since I know about infrastructure and IT, it took me around one week to set it up. Non-IT people might struggle with the setup.

The return on investment is good. Since everything is in the cloud, we save a lot on infrastructure and server costs. It is very helpful to the client, and it is very useful for us.

I pay for a yearly subscription. Compared to other service providers, the product’s pricing is normal.

I evaluated other options, but I chose Microsoft because it is a little bit easier. We can get it right away.

We are into data management. We deal with data consumption and data validation. So, we must use many virtual and storage solutions to process the data. We use the clients’ solution. I am into IT. I have a bit of knowledge of the infrastructure. If we need to scale up, we might need some training. I would recommend the solution to others. Overall, I rate the product a nine out of ten.

We use the solution for pipelines.

Because of automation, everything from the beginning of the development project is stored on one side and brought from the development side to the production side.

Due to automation, the development process is streamlined from the beginning. 

The process involves understanding what is provided from the repository side, managing the code, and handling changes and responsibilities. This includes staging in the pipeline. 

Sometimes, I have issues configuring settings, setting up policies, and communicating with others on Microsoft Azure.

Pricing is high, especially if you plan to use it on a larger scale, with more teams, or want to include additional features. The costs can increase significantly as you add more features and expand usage.

I have been using Microsoft Azure for two years.

Stability is straightforward when combining some Linux features or Linux kernels. Additionally, integrating with other operating systems can sometimes be challenging.

It takes time to get familiar, but after, everything is fast.

When I experienced a crash, I received a response within a few days. The level of support depends on your user status. If you are a minimal or ultimate user, and if you pay more, you receive more support. Everything goes much faster.

Everything is okay if you are familiar with Teams and how it works. However, combining Teams with other tools and APIs can make things much faster. Additionally, the plugins provided by the official Microsoft site can enhance its functionality.

The deployment is manageable in one day and takes only one person.

It automates and saves time. Microsoft Azure breaks entire products into modules, making it easier to implement changes. These changes can be deployed much faster compared to traditional methods.

It is payable for what you need and how much you use.

I preferred Azure because it's more robust, it's easy to get around.

Code breaks from time to time, so maintenance is required periodically, especially for extensive codebases. Regular testing and checks are necessary to ensure reliability and performance.

I use other tools that integrate Copilot, which will soon be integrated into Microsoft Azure. I rely on other sources when I need to find information. There's also the security issue, as there's always a risk concerning where company data will ultimately be stored.

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

We use the solution as part of the scrum agile methodology. 

We use Azure DevOps' full hierarchy to manage our data workloads. From product management to development and QA stages, Azure DevOps provides tools. Additionally, we're implementing automation testing and integrating it with our CI/CD pipelines using Azure DevOps. This platform helps us manage all our processes. 

The main advantage of using it is that it supports a smooth workflow from development to QA, following the Scrum Agile methodology. It manages the sequence of tasks and sprints. The tool's integration capabilities are good. 

Microsoft Azure needs to improve its customization capabilities. Each organization has unique tasks and fields that it wants to use. Additionally, the search functionality could be more flexible. 

I have been working with the product for five years. 

I rate the product's stability an eight out of ten. 

I rate the solution's scalability a seven out of ten. 

I haven't contacted technical support yet. 

I rate Microsoft Azure's deployment ease as five out of ten. It takes around a month and a half to complete, while our sprints take two weeks. Moreover, we conduct three rounds of testing and development. 

The product is expensive. 

I rate the overall solution an eight out of ten. 

We utilize various Azure services such as Azure SQL, Azure Cosmos DB, Azure Data Factory, Azure Storage, and Azure Key Vault to build our data platform.

One of the features that I really like about Azure is its comprehensive environment for implementing a data platform. The solution provides multiple well integrated services which happen to work together seamlessly and provides flexibility and scale ability for use cases all around the industry.

There are some minor aspects which require improvement but they are very technical for an explanation. For example, the cost calculation for the services can be an unclear aspect which makes it difficult to estimate the expenses incurred accurately. Therefore, it will be beneficial to have it more transparent and apply your user-friendly cost estimation process to help users plan their budgets in a more efficient manner.

I have been using Microsoft Azure for the past 5 to 6 years.

I would rate it 9 out of 10 since it is stable but can get better.

I would rate the scalability 8 out of 10. The number of users on a platform is high but we do not have active engagement from all the users all the time. We have over 100 users but not all of them interact with the platform regularly. Keeping it aside, our main focus still remains on building data platforms which cater to different needs.

I have mixed feelings about Microsoft's technical support. While they do try to assist most of the time, I believe there's room for improvement. 

Neutral

As a data engineer, I mainly use these services rather than being involved in their implementation.

I would recommend Azure since it offers a variety of features and services which work together. This is quite rare in other platforms because they are not scalable. These features have helped us to promote our growth without any major challenges. The wide range of services make it a valuable option for implementing a data platform. However it is really difficult to quantify its value numerically. Different companies can Paradise different factors such as scalability, cost, or support which makes it different for each company.

It is important to keep in mind that there are also challenges such as the complex nature of estimating costs and no realistic expectations of savings due to the presence of hidden costs. Azure is an efficient solution but it requires improvement in terms of stability, support and pricing.