Microsoft Azure Reviews

People use it for various reasons in my organization. Data engineers use it to target databases for data ingestion. 

As a data scientist, I primarily use it for modeling and analytics purposes. 

Databricks is extensively used for these purposes and also for deploying models into production. It's used across the entire pipeline in my division.

Azure offers broad compatibility with both structured and unstructured data. For example, we use PostgreSQL for storing Azure's official data and manage various types of data, including tabular and image data, accommodating the storage of all data types we handle. So, in many ways, Azure simplified the data storage and management needs.

However, we don't use  Azure for all our web hosting requirements. For example, for production and web hosting, we use a combination of Azure and other native languages and hosting services. So, it's not entirely dependent on Azure.

Being involved in building models, I appreciate the integrated version control, which obviates the need to manage different versions of my models manually.

I don't have to do a lot of experimenting; the version control is built-in. 

Azure also offers additional features in the AI space, which are beneficial, making it convenient to have all tools in one place without the overhead of using different tools for different purposes.

Integration with Microsoft products is seamless, facilitating connections to tools like Tableau and enabling easy API creation. 

One thing I find is that there are updates happening all the time, but they don't always roll out information about the changes. For example, the way to connect to Git repositories six months ago was different from how it is now. 

It would be good if the platform incorporated some kind of announcement system, like "This process has changed, here's the revised method." That would be really helpful. So, update announcements should be there. 

I have been using it for two and a half years. 

I would rate the stability an eight out of ten. It's quite stable, although there have been occasional downtimes affecting entire regions, but these issues are resolved quickly without causing significant business interruptions.

Azure's scalability, particularly in terms of cores and threads, significantly enhances our work. 

The ability to easily adjust capacity is crucial, especially when working with large geospatial datasets and running transformations or models requiring substantial computational resources.

In my department, there are around 40 end users using this solution. 

I would rate the scalability an eight out of ten. 

The platform's scalability meets our needs well.

We haven't actually needed to contact Azure support very often. However, the Databricks team, specifically our Service Account Manager, has been very helpful. They've reached out a couple of times to understand the types of projects we're working on and suggest additional functionalities that might be beneficial.

There was also some communication with the GenAI team about potential use cases that could be integrated into our platform or future products. 

I've never had to directly contact an Azure support representative. 

The online documentation is very comprehensive, and there's a large, active community that we can leverage for troubleshooting. 

Basically, all the documentation we need is readily available to resolve any queries.

We also use Cloud Foundry, alongside Azure, for various tasks within our operations.

Deployment is generally stable. But there are specific scenarios, especially in Asia Pacific, where there are limitations.

Microsoft hasn't fully rolled out services in all regions yet. This can cause problems when we try to deploy certain models in those specific regions where services are unavailable.

In contrast, if you have a self-deployed API, something you created in a native language and deployed on your own server, it would be more readily available across regions. 

So, the lack of Microsoft services in certain regions can become a blocker.

Troubleshooting and maintenance for Microsoft Azure products are handled by our internal IT team.

We have around 40 to 50 people, encompassing a mix of roles including administrators, engineers, and developers.

I would recommend using this solution. Internally, we've always preferred it over Cloud Foundry. Here's why: Microsoft Azure has been a much more seamless experience. For example, Cloud Foundry isn't very scalable. It can't handle parallel computation well, and it frequently hangs. Plus, it's not very user-friendly as a platform.

So, for all those reasons, I would recommend Azure. It's highly scalable, supports parallel computation, and offers all the steps needed for a product lifecycle within one platform. That eliminates the need for separate storage, deployment, and production environments – everything's available from the start. Those are the key reasons for my recommendation.

Overall, I would rate the solution as eight out of ten because there are still areas for improvement, like integration with cross-platform. 

We use the product to move data from sources to warehouses in on-premise environments. It also helps us move the data to the cloud or data lake.

The product's initial setup process and stability need improvement. 

We have been using Microsoft Azure for the last two years.

In terms of the product stability, we have encountered occasional issues. Sometimes, we encounter delays or wait times, especially when utilizing newly introduced services still in the preview phase. These services may initially experience glitches or bugs as they undergo testing and refinement. However, many of these issues are addressed over time, and the stability improves as the products mature. Azure continues to evolve rapidly, with new features being introduced frequently, which may contribute to occasional instability.

The platform's salability feature has supported our growth demands, allowing us to manage our resources and control costs efficiently. While it offers ease of escalation for additional resources when needed, we must exercise caution to ensure it aligns with our budgetary considerations. With a workforce of around 400 individuals spread across the globe, serving UN entities and other international organizations, our IT services are critical for their operations.

We have had an excellent experience with customer service and support from Microsoft. A dedicated team works, and we have regular monthly meetings with them.

Positive

Azure is more user-friendly and easier to use than Amazon Web Services (AWS). AWS, on the other hand, is geared more towards IT professionals and smart coding. At the same time, Azure provides a simpler and more understandable interface for building and learning. AWS may seem more complex but offers a wider range of services and possibilities. Both platforms are similar in some respects, and users may find equivalent services with different names.

The initial setup is complicated, particularly when implementing CI/CD and automatic deployment processes. It requires a strong background in coding and administration, especially when working with containers. Maintenance is simple and falls within the realm of administration.

Microsoft provides more affordable pricing than Amazon. We have a good discount for our entities. It is not an expensive product and is adaptable to various requirements. It offers a free tier for small-scale usage and the ability to scale up as needed when requirements grow.

The features enabling workflow efficiency include working with small databases locally and adapting the license pricing depending on the need. If we require more space, we can easily scale it up, and the price adjusts accordingly, making management simple. Azure allows access from anywhere worldwide to develop and manage data warehouses, facilitating remote work, especially during events like COVID-19. Previously, accessing systems remotely was more cumbersome when most data was on-premises. It provides discounted access and enables the creation of secure systems with appropriate networking for enhanced security control.

The platform's security and compliance offerings align well with our organization's needs. It is fully compliant, although it also depends on our customers' specific requirements, which may require more stringent regulations. Internally, we prioritize compliance, ensuring that we meet the necessary standards. Additionally, we appreciate its focus on performance improvements, as faster execution of services enhances our workflow efficiency. We have observed improvements in features like service flow definition within Azure Data Factory, further enhancing our capabilities. However, we encounter compatibility challenges, particularly when transitioning between different versions of Azure services, such as storage accounts from generation one to generation two, which may require manual review and adjustments.

It is seamlessly integrated with our existing IT ecosystem, allowing us to operate in a multi-cloud environment. We can easily access and integrate data sources from other platforms, such as AWS, and incorporate them into our Azure environment. For instance, we utilize Power BI within Azure to analyze unstructured data from AWS. While connectors facilitate integration, we also leverage APIs for more customized connections when specific connectors are not available. I rate Azure's integration capabilities as eight out of ten, acknowledging areas for further improvement and development.

Overall, I rate it an eight out of ten.

I am using Microsoft Azure primarily for application development purposes. Additionally, I am utilizing it for machine learning and Internet of Things.

Microsoft Azure has made it easier for me to use and format my applications effectively.

The most valuable feature is the broad range of services offered by Microsoft Azure, such as computing, networking, and Azure Arc, along with security and compliance. 

Additionally, it has made my applications easier to use and has improved the development process.

There is room for improvement in the pricing structure, user interface design (UI/UX), clear navigation, and documentation support of Microsoft Azure.

I have been using Microsoft Azure for about three years.

I would rate the stability of Microsoft Azure at eight out of ten.

I would rate the scalability of Microsoft Azure at eight out of ten.

I am very satisfied with the technical support and would rate it ten out of ten.

Positive

I did not use a different solution before Microsoft Azure.

The initial setup was a bit complex yet became easier as I learned more about it.

I would rate the pricing of Microsoft Azure at eight out of ten, which makes it on the pricier side for me.

I have already recommended Microsoft Azure to my colleagues, and they are finding it useful. 

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

We use Microsoft Teams for collaboration with different teams and parties, creating channels for both internal and external communication. In addition, we leverage Power Apps within Microsoft Office to develop workflows and automation tools.

Azure has enhanced our organization's ability to scale applications on demand by providing flexible scalability options tailored to each application's needs. Depending on the application hosted in Azure, we can scale up resources to handle increased requests or scale down during periods of lower demand.

One feature I like in Microsoft Azure is its ability to host and run applications on virtual machines. It is a basic yet crucial capability for our team. 

One area where Microsoft Azure could improve is in offering a broader range of pre-built plugins and tools compared to AWS. While Azure excels in certain capabilities like text-to-voice and voice-to-text, it may lack robust support for handling diverse languages effectively, such as local dialects or combinations of languages like Chinese and English. Enhancing flexibility and language support could make Azure more competitive in diverse global markets like Singapore and the Philippines. Additionally, a feature I would like to see added to Azure in the future is support for a native graph database technology. While AWS offers Neptune for graph databases, Azure currently lacks a similar offering.

I have been working with Microsoft Azure for almost two years.

We have not faced any stability issues with Microsoft Azure.

Microsoft Azure is highly scalable, which makes it easy to adjust resources based on demand. It is mature in terms of scalability and offers seamless scalability features. We have over 200 users utilizing the solution across various teams and departments.

Microsoft's technical support is a bit costly, but it is worth it for the quality assistance they provide. I would rate the support as an eight out of ten.

Positive

Generally, the time it takes to deploy and configure a solution in Azure can vary depending on the specific requirements and complexity of the deployment. It could range from a few hours to a few days, but it ultimately depends on factors like the size of the application, the number of resources being deployed, and any custom configurations needed.

We utilize Azure for disaster recovery and business continuity, particularly for our graph database application. While our primary system is hosted on AWS, we have implemented a backup and disaster recovery strategy using Azure. In the event of any disruptions or failures, Azure serves as a reliable fallback, ensuring minimal downtime and data loss.

While we don't create workflows directly in Azure, we benefit from its auto-scaling feature, which adjusts resources based on demand. Plus, Azure integrates well with tools like Control M for workflow automation, making our processes more efficient.

Integrating Azure with other Microsoft solutions like Active Directory and Office 365 is seamless and straightforward, enhancing our business processes. However, we also need to integrate Azure with external systems like Jira and GitLab. While Azure excels in Microsoft product integration, we are exploring ways to streamline integration with non-Microsoft products, which is an area where Microsoft can improve.

For those considering Azure, it is crucial to understand that Microsoft offers a comprehensive ecosystem of products and services. Azure is a top choice for cloud computing needs, especially when already using Microsoft products. It seamlessly integrates with other Microsoft solutions, providing a cohesive experience. So, if you are already invested in the Microsoft ecosystem, Azure is worth considering for your cloud computing needs.

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

The performance of Azure DevOps services is really impressive. It really demonstrates the value of the service. 

We've had a good experience with their technical support. They are always available when needed.

I haven't been involved with continuous integration and continuous delivery (CI/CD) services, but I hope there will be more training sessions for them. Other companies and platforms provide technical webinars and training on their websites. 

I wish I could learn more about CI/CD, but the resources aren't readily available. I haven't been able to find webinars or training sessions. Maybe I'm not searching correctly, or the information isn't presented clearly.

The price should be lower. My company used the demo product because of the cost. Price is an important point for all clients and companies who want to obtain this solution.

I also have a question: what about review platforms for forensic technology? Is there a way to integrate these platforms with Azure? It would be great to have a web-based review platform integrated with Azure. Currently, we use a third-party software to launch this review platform.  Is there any way to review documents within a web-based solution in Azure? This is something I wonder about.

I've used Azure for a year and a half, specifically for DevOps services. Unfortunately, I worked with a demo product, as the company couldn't purchase the actual product. I mainly used Azure DevOps repos and some basic concepts like Azure state plans.

Azure solutions are stable. Many companies find clients who want the solutions because of the stability and high performance.

It's a good solution for small or medium-sized businesses.

The setup is very straightforward. The Azure services and platform for storage are easy to understand, with clear steps. It's easy for any user to install services on the platform.

I haven't had any issues with integrating Azure services. We use the integration services with Azure with a very intuitive UI. So, I didn't face any issues while integrating Azure services.

I would rate it an eight out of ten. There are a lot of benefits. The integration options for all services are great.

I use Microsoft Azure for a variety of applications, including medical software, IV systems, and repair projects. It is great for BI tasks, helping me analyze data and generate insights. I have also used Azure for hosting various events and managing different projects efficiently.

The most valuable features of Azure for me are its ease of management, recoverable virtual machines with backup support, excellent customer support, and user-friendly interface. It allows me to do a lot on my own and provides a comprehensive cloud solution.

From an operations perspective, I find Azure portal, user management with Active Directory, and Azure DevOps to be the most valuable services. They make it easy to manage projects, user access, and administrative tasks efficiently.

While Azure continually improves its services, one area for enhancement could be in the realm of big data and unstructured data storage. Although I haven't explored this aspect extensively, focusing on improving offerings in this area could benefit users who rely on such data storage solutions.

I have been working with Microsoft Azure for almost six years.

I have not had any stability issues with Azure.

Azure's scalability, including features like Azure Elastic for searches, has had a significant impact on my project. It has improved performance, even with large volumes of data. In our organization, which has over 200 technical resources, more than 20 people work with Azure across various projects and clients.

Azure's support is responsive and helpful, making it easier to navigate any challenges. I would rate them at a nine out of ten.

Positive

Setting up Azure initially can sometimes require assistance, especially for migrations between tenants, but overall it is user-friendly. Complexity depends on the task. Azure's support and documentation are crucial for our deployment process.

Deployment in Azure is made easy and manageable through helpful configuration and management tools. Initial deployment may take one to two hours, but subsequent deployments typically take around 30 minutes, depending on factors like database and application size. Upgrades can be even quicker, sometimes taking only 13 minutes.

Working with Azure has shown a positive return on investment, particularly in projects involving migration from data centers. Benefits include improved performance, availability, and reduced downtime, leading to enhanced customer experiences and business outcomes.

Azure's pricing is generally considered reasonable and cost-effective compared to AWS, although AWS prices can be higher in some cases.

In a project, we needed to gather data from various APIs, including Google Analytics, and integrate them seamlessly. Azure played a critical role in this by facilitating the integration of different technical services and allowing us to efficiently ingest data from CSV files. We also utilized Azure to process and output data in different formats, ensuring smooth operations throughout the project.

We rely on Azure for all our cloud computing needs because it filters almost all our requirements. It fulfills everything we need for cloud computing, and we are very satisfied with its services.

My experience with Azure Security tools has been positive. Azure offers robust security features like multi-factor authentication and role-based access control, ensuring a high level of security for our projects. I haven't encountered any issues or breaches, though user management practices also play a role in maintaining security.

Azure's main pros include strong support for Microsoft-native services like Azure SQL and cost-effectiveness for certain workloads compared to AWS. However, licensing for non-Microsoft services may be a bit more complex on Azure.

My advice for organizations considering implementing Azure is to assess their specific business needs and customize their infrastructure accordingly. Utilize Azure's diverse services and storage capacities intelligently, optimizing cost by leveraging features like auto start and stop for non-essential resources.

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

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.

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.