Microsoft Azure Reviews

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. 

Microsoft Azure is a very dynamic cloud service that allows you to migrate your workload, applications, and data. We can use cloud services to run those environments or transform those applications into better services with high availability and resilience. It has multiple zones and multiple data centers.

When running any service on the cloud, the best advantage is that you can scale up and scale down. You can scale up your environment if there's a high-selling season for your application and services. Once that season is over, you can downscale and run operations.

The customer support can become pricey at times if you don't have proper plans.

I have been using Microsoft Azure for more than five years.

Microsoft Azure is a very stable solution.

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

I rate the solution ten out of ten for scalability.

The solution's technical support is great. The only thing is that the support can become pricey at times if you don't have proper plans. The cloud services are available for any problems you get into. The support is good, and now it's very stable.

Complexity-wise, the solution's initial setup is very medium. A lot of documentation, videos, training, and tutorials are available. Anybody who knows about cloud computing can learn, train themselves, and set up the solution. You need to keep enhancing your setup, configurations, and security.

You get a better return investment with Microsoft Azure for three to five years. Customers would incur hardware and infrastructure costs on their data center because they have to keep upgrading their hardware every three to five years. You need someone to maintain your redundancy, which costs too much.

That's why people go with the cloud, where you don't have to worry about anything. Microsoft data centers are developed in such a way that there is high availability and redundancy.

You just need to worry about your application and the access and security around it. You don't have to worry about all the underlying hardware, which is very cost-effective. If you choose the right SKUs for the costing part, you'll get your return on investment in three years.

All cloud services are available on a monthly licensing basis. Microsoft Azure has the concept of reserve instances. If you know that you would like to run your application for one year or three years, then you should go with the reserve instances. The monthly costs become very reasonable because of the discounts you get on longer reserved instances.

Microsoft is actively enhancing the solution. When it was first launched, the tool was a little more on the classic version, but then Microsoft improved and enhanced those services. Microsoft is currently working with a plethora of applications and services. A lot of things have already been done. Microsoft Azure is a very stable and in-demand cloud.

Most organizations are using Microsoft Azure because Microsoft is running their identity piece. If the identity is merged or synced with the cloud identity, everything develops and works around that. Several users and companies have grown quickly after using Microsoft Azure. In any organization, around 80% to 90% of users are using the cloud service.

Everyone should start using Microsoft Azure and try to get Microsoft certifications. Microsoft certifications have a lot of practical labs and scenario-based questions that prepare you for the actual deployment. So, Microsoft certifications are a must.

Overall, I rate the solution ten out of ten.

This solution is used to migrate data to the cloud. They have a few different ways that this can happen. You can use the public cloud or private cloud, for example. Or you can use a hybrid as well. 

If you want to add some services, they have that capability to do that. Even if you want to improve your network, and you want to add your storage, or you want to maybe improve the speed of your infrastructure, they have that capability. 

They own a SaaS model. They have applications such as Microsoft Office 365, which is a cloud service. When I was using Oracle Linux desktop, I was still able to use Microsoft Office 365 to do my daily work.

If I want to send a Word document, I don't have to install anything. I don't have to hassle with the installation of Microsoft Office in Linux. It's quite a process to do that. However, if we have the internet, we can do everything we need to without having to install anything. You can do all of the Office activities including PowerPoint, Excel, and Outlook. It's very easy.

Microsoft offers free courses and an exam on their products. Many of my colleagues who use Microsoft Azure take advantage of those free courses to help them learn about the solution in depth.

It would be nice if there was an on-premises version of the solution, and it wasn't just cloud-based. Oracle, for example, has both capabilities. Some people don't understand the cloud, or are hesitant, and this might prevent them from adopting the product. Also, migrating to the cloud can bring a lot of misunderstanding and a lot of trouble to some companies. Some prefer that their data is not moved from the premises, or have requirements to that effect. If Microsoft could address these concerns, that would be ideal.

The solution has a lot of terms of services. These should be simplified.

I haven't been using the solution for very long. In fact, it has only been a few weeks at this point.

The solution is quite stable. There are no bugs or glitches. It doesn't crash or freeze. It's quite reliable for our organization.

I have noticed that they have the capability to scale. Even you are not using some of the services, you can still scale. Let's say, you have bought large storage, and you notice that you no longer want to use it anymore. You have the chance to reduce that and not have to pay for more than you need. You pay as you go, therefore they have the capability to accommodate shifts in sizing. Most of the cloud providers do have that capability whereby you don't have to use something that you do not need.

We do plan to use the solution into the future as it does offer us good flexibility.

I'm not really on the technical side of things, and therefore I don't generally deal with technical support. Therefore, I can't speak to their level of knowledge or their responsiveness.

Previously, I've also used Oracle and IBM.

I personally didn't have to do an installation.

All you need to do is read the documentation, and everything you need to know is right there. It's quite straightforward in that sense.

The solution offers a freemium model. There are some things that they can give for free, however, if you exceed certain levels in terms of what you were initially given, then they have to charge you for that. That's why, usually when you create the account, they want you to use your credit card so that when you exceed your limit, they will be able to charge you for that.

When you want to do the license, there is a certain amount that you need to pay. The pricing varies according to usage and differs in terms of the services and the models that you need. For those who need a platform as a service for developers, or infrastructure as a service, or software as a service, they provide for those scenarios. However, the pricing will depend on the service that you want.

I'm a consultant. I work as a partner with Microsoft.

We're using the latest version of the solution at this time.

I would recommend the solution to others.

I'd rate it nine out of ten overall.

Microsoft Azure has enabled the organization to set up efficient cloud infrastructure at cost-friendly rates. 

It has a DR backup system that keeps data under safe storage for future recovery in case of any disaster. The Azure virtual machine has been the game changer in the implementation of reliable cloud computing services. 

It allows quick connection and can successfully integrate with cloud applications to enhance better workflows. It integrates Web Application Firewall which has firm security features for monitoring data flow and can easily prevent SQL injection in web apps. 

The URL-based routing system enhances precise routing protocol based on authorized ERL paths.

The platform has stabilized the enterprise backend servers with session affinities that enhance reliable feedback to client requests. 

The dynamic data management system has prevented various ransomware attacks that could lead to data loss. Azure keeps our data programs under 24/7 surveillance to ensure no critical errors can affect the entire workflow. 

The seamless integrations enhance excellent services from Microsoft Azure. We have fully complied with international data policies from the set of data models that are authorized by Zure.

Azure storage has exceptional scalability that gives the organization expandable space for storing data under secure cloud servers. The user-friendly interface enhances quick setup procedures and efficient task management, saving time and resources. 

The robust encryption services increase the confidence of tech users. The drag-and-drop features save time from the low code environment. 

Azure SQL Database has a serverless database that can integrate easily with APIs. Azure disk storage has multiple user cases that enable each team to select size and performance based on user requirements.

The pricing criteria can be improved with broken-down terms that can be understood easily. 

There are rare cases of time-consuming technical issues. The Azure team can devise efficient and streamlined procedures for dealing with critical technicalities that can affect workflows. 

Integrating the system with third-party platforms not connected to the Microsoft system is not easy. 

Maintenance is sometimes hectic due to poor cloud and on-premise server integrations. 

The overall performance has been excellent, and I can recommend Microsoft Azure to other enterprises.

I've used the solution for two years.

It is highly scalable.

I am impressed by the storage services and security configurations.

The support team offers reliable services.

Positive

I have not used any alternative product.

The setup was straightforward.

Implementation took place through the vendor team.

We've witnessed an ROI of 55%.

The setup procedure was simple and the cost is relatively friendly.

I have not evaluated any other platforms.

I am impressed by the performance.

Microsoft Azure is a ticketing system that provides support services to Microsoft partners based on their partnership tier. Partners can raise support tickets, particularly for production-related issues. When we had issues with our Cosmos DB instance in production, we would submit a support ticket with screenshots detailing the error. We usually receive a call from a support engineer the same day.

Once a support engineer was assigned, the process was well-organized. Each engineer worked shifts of about eight to nine hours, and before their shift ended, they would email us to let us know who would be taking over, for example, "John Doe." They would also provide a summary of the issue, progress made, and next steps, ensuring a smooth handover without the need to re-explain the problem to the next engineer. It was a very efficient process.

Microsoft Fabric is a new service that integrates various functionalities into one platform, such as data engineering, data science, and data visualization. While promising, some complexities and limitations become apparent only after you use the service.

Fabric is a comprehensive and expensive service with tier-based pricing. For someone new to the platform, like those coming from Snowflake or Databricks, it can be difficult to grasp the cost implications and potential limitations without extensive exploration. The documentation outlines these limitations.

Pricing is very expensive.

I have been using Microsoft Azure for five years.

Cosmos DB offered better scalability. In Azure SQL, we had to carefully manage the storage tier, switching back and forth based on needs. But when we first implemented Cosmos DB, we had a good understanding of the required data volume over the past three months. This helped us select the appropriate tier because we had those figures.

If we had done it the other way around, it would have been much harder to estimate the data accurately. While you can get a rough idea, whether it works out in practice is more of a hit-and-miss approach, which we have already experienced with Cosmos DB. We applied the knowledge gained from that exercise to build a similar solution over Azure SQL.

On the DevOps side, our team consisted of five members, ranging from senior to junior roles. We would raise requests for specific services needed in the development environment. The process typically takes three to five business days, including all necessary approvals, from submitting the request to receiving the resources and verifying access.

Sometimes, even with the documentation available, understanding how it applies to our specific issues requires contacting a system engineer and creating a support ticket. The support engineer often provided additional details that were not included in the official documentation. This highlights the gap between the provided information and practical, real-world use cases.

Positive

Deployment was relatively straightforward. We didn’t encounter any issues whether we were using the GUI mode or working with our DevOps team, who utilized Terraform to provision resources as needed.

Most people use Azure Synapse for data onboarding and integration. Synapse is a big data analytics platform where data engineers and scientists can collaborate on a unified platform. Another service called API Management serves data outside Azure to downstream consumers or third parties. This is useful for cases where third parties can't be onboarded onto your system due to compliance or regulatory issues or need a specific slice of your data in near real-time. When we used Cosmos DB, we hosted near real-time data with a latency of about 15 minutes and served it via API M. With API M, authentication tokens were shared with the end users, allowing us to know precisely who was consuming data outside of our Azure environment. This setup was unique because it required providing near real-time information with minimal latency, even as the number of concurrent users increased. Cosmos DB worked well in this scenario due to its horizontal scalability. We also hosted similar data on Azure SQL, as Cosmos DB can be more expensive for cases where a smaller amount of data needed to be served, such as just the last one to three months of data. Azure SQL was a good alternative. The same API M interface was used to serve data from Cosmos DB and Azure SQL. Under the hood, one API would fetch data from Cosmos DB, and another would pull from Azure SQL. This architecture was tested and worked well for our client.

It was easy to maintain. Overall, I rate the solution an eight out of ten,

Microsoft Azure provides many critical features, such as business continuity and disaster recovery, which come embedded out of the box. From my point of view, managing the whole infrastructure, these features have been very beneficial. The support is also amazing, with someone allocated to assist within a few minutes.

At the moment, we've found Azure Container Apps to be most beneficial for scalability. Previously, our resources were hosted on dedicated servers, which were tricky to scale automatically. With Azure Container Apps, which work like Kubernetes with additional features, scalability is built-in. This allows us to scale to almost zero when not in use, saving costs. Additionally, consumption-based features ensure we only pay when there's demand, and it auto-scales accordingly.

However, we've had issues with Databricks auto-scaling, where it sometimes spun up more clusters than needed, incurring extra costs. Azure has resolved these issues based on our feedback. As we often adopt new technologies early, we encounter some immaturity in features, but overall, for our application needs, we're quite satisfied. I haven't used AWS or other cloud providers, so I can't compare costs.

Support is very responsive, especially for production issues. Within a few minutes, I get a phone call, and within half an hour, they gather the experts based on the resource type to address the issue.

Positive

Our budget for the Microsoft Azure infrastructure is over a million a year.

I am very satisfied with Microsoft Azure. Their resources, such as Databricks, can be expensive, but Microsoft is working on addressing that with discounts. I am happy because I use many of Azure's features, from development tools (Azure DevOps) to infrastructure.

I would recommend Microsoft Azure to others. Our developers are familiar with the Microsoft stack, which makes Azure a natural fit for us. Additionally, Microsoft offers substantial discounts for partners like us. Azure supports many open-source tools and integrates well with Azure DevOps extensions.

Recently, we've implemented Advanced Security through Microsoft Defender, which scans for vulnerabilities and integrates with our existing stack. This addition has been crucial in addressing previous gaps in security, particularly in identifying and resolving vulnerabilities early in the development process. 

I rate the overall product a nine out of ten. 

Azure is a cloud provider. We use Azure services for various purposes, including PowerApps for app development and Azure DevOps for software development and operations.

We find Azure particularly beneficial when working with clients who are heavily invested in Microsoft solutions. It necessitates that we also leverage Azure for our solutions and services.

Azure offers a variety of services rather than features per se. 

The platform is quite self-service and adaptable.

It is secure. 

It can be cheaper, which might simplify things a bit.

We've started using Azure for the past year, although we are primarily an AWS shop.

It is a stable product. I would rate the stability a ten out of ten. 

Since it is on the cloud, it is a scalable solution. 

We have a lot of end users using this solution. We use it on a daily basis. 

Since all our solutions are hosted on Azure, usage will naturally increase as our operations expand and we onboard more users.

We were using AWS and had a requirement that led us to start using Azure. We utilize all of them based on specific needs.

We use all three (Azure, Google Cloud Platform (GCP), and AWS). It's about the use case and the requirements that dictate which one we choose.

I didn't handle the setup directly. Our IT team manages the provisioning of Azure services for us.

From what I understand, it was not particularly complex.

The implementation was handled by our IT team. We have a dedicated cloud team that provisions the services we request.

The return on investment largely depends on how and where you're using it.

We've seen significant savings in infrastructure costs. That's a primary advantage of using the cloud – it's fully managed, and you pay as you go, which is highly beneficial.

Overall, I would rate it an eight out of ten. 

I would recommend Azure. When implementing cloud services, it's essential to consider the top three cloud providers today: Azure, Google Cloud Platform (GCP), and AWS. 

Azure is stable and should be considered alongside these, depending on the use case.

We use the solution for business analytics, data warehouse, data sharing, and data governance. I am a data engineer. I work on cloud data warehouses and data lakes.

I use Power BI and Azure Synapse Analytics for my analytic needs.

The solution is useful for handling large amounts of data. It is useful for big data. Our analytical needs are taken care of by Azure Synapse Analytics. The scalability is valuable. The data is increasing daily in structured, semi-structured, and unstructured areas. Accommodating multiple data types with a cloud data warehouse and cloud data lake is easy. Azure's security and compliance tools are nice. We get a lot of customers who want to handle data in large volumes.

The third-party data-sharing features must be improved. It will be useful for users who use other cloud providers.

I have been using the solution for more than five years.

The tool is stable most of the time. Sometimes, when there is an issue, it takes a long time to resolve. I rate the stability a seven out of ten. The stability must be improved.

When the demand increases during occasions like Black Friday, we have to scale up to meet the customer requirements. Later, we can scale down. I rate the tool’s scalability an eight to nine out of ten. Our clients are mostly enterprise businesses. We normally deal with manufacturing and banking customers.

The customer support is fine. We work with a partner.

Positive

I rate the ease of setup a nine or ten out of ten. We don't require many skill sets to provision it. The time taken for deployment depends upon the environment and the data. Generally, it can be done within hours.

I rate the pricing an eight or nine out of ten. If a customer has Microsoft Stack, they choose Microsoft's products.

Many customers compare Azure Synapse with Snowflake. Snowflake has good capabilities in data-sharing and the marketplace.

We are partners. We pitch Microsoft products to our clients whenever there is a need. I will recommend the product to others. Overall, I rate the product a nine out of ten.