Microsoft Azure Object Storage Reviews

The solution is being used for daily purposes. 

Improvements should be made as per customer requirements.

It is a scalable solution. 

Technical support is excellent.

The initial setup is complex.

The pricing is competitive.

Overall I rate the solution an eight out of ten. 

I use Microsoft Azure Object Storage for various purposes in my projects. It is versatile enough to support our production platform, allowing us to store and manage unstructured data efficiently. It serves as a reliable backend for our databases and provides storage for Kubernetes containers.

The most valuable feature of Azure Object Storage for us is its simplicity and reliability as a storage solution.

As of now, we don't see any room for improvement in Azure Object Storage. It meets our storage needs perfectly, and since we primarily use it for storage purposes without encountering any issues, there aren't any specific areas we feel need improvement. It works well for our current requirements.

I have been using Microsoft Azure Object Storage for about a year.

I would rate the stability of Azure Object Storage as a three out of ten. We experienced an outage issue recently, which affected its overall stability and reliability.

I would rate the scalability as a ten out of ten. It is definitely scalable enough for our needs. Ten people use the solution at our company.

The technical support is great.

The initial setup is fairly simple.

The pricing of Azure Object Storage is fine, but it could be a little less expensive. I would rate it as a five out of ten in terms of costliness.

Overall, I would rate the solution as a seven out of ten.

I use the solution in my company for business applications and to move content.

I can't speak about the specific features I like about the product, but I know that it was used for our company's processes. The most valuable features of the solution are related to its ease of use and performance.

The stability of the product is an area with certain shortcomings where improvements are required.

I have been Microsoft Azure Object Storage for 7 years.

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

Scalability-wise, my company didn't face any issues. I rate the solution's scalability out of seven out of ten.

It is not a tool used by users since it is for the system. The front-end system uses the storage.

The product's initial setup phase is straightforward.

For the product's deployment phase, my company used CI/CD pipelines and the DevOps process, but the storage can be accessed through laptops and Azure Storage Explorer, which was a great feature.

The product was deployed with the help of our company's in-house team.

The product works on a real-time and optimized basis. The scalability offered by the product is one of its benefits. You don't have to wait for your company's infrastructure team to increase the storage, as it can grow on its own.

The tool has a pay-per-use pricing model. You need to pay for what you are consuming. It is not a complex model. It is not an expensive product. There is no need to pay extra money for the licensing costs since the price is based on the storage you consume.

The tool is useful for our company's client engagement and for the automation of their business applications.

The product's security measures are good. I rate the tool's security measures an eight out of ten.

Speaking about the integration capabilities of the product, I can say that my company serves as a system integrator of the tool for our clients.

The product integrates with our customers' existing ecosystems.

Microsoft Azure Object Storage is a straightforward product that is available with good documentation and is useful for a good number of use cases. I recommend the product to those who plan to use it.

I rate the tool a seven or eight out of ten.

Microsoft Azure Object Storage is being used for Big Data Processes. 

It is a stable solution and serve our purposes. 

The pricing of the solution can be improved. 

I am using the solution for three years. 

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

It is a scalable solution. Around hundred users are using the solution presently. We extensively used the solution. Even that we process data, we have large amounts of data. We intentionally use it, but we use it from the processing perspective, not from the end user listing. 

The technical support team is very good. 

The initial setup is easy. For the deployment we have we have Data Form Scripts. So there are  CDs for deploying everything in the in the cloud. Three to four software engineers  are required for the maintenance of the solution. 

The solution was implemented by a third-party vendor. 

The pricing can be improved. There is an yearly licensing cost for the solution. There are some reserve instances that are additional to the licensing cost. 

I rate the overall solution an eight out of ten. 

We use the Azure Object Storage for our IoT use case. We have thousands of vendors using our machines and they are sending machine performance data to Azure. We then use this data for analytics and product management.

We use it both in our development and production environments.

The most valuable options are performance and scalability. These two things are really effective.

The cost should be reduced to make it more competitive. There are other vendors that provide good solutions, so if Microsoft were more competitive in terms of pricing then it would be one reason for us to continue with them.

I would like to have out-of-the-box connectors to make integration with other products easier.

We have been using Azure Object Storage for the past two and a half years.

Azure is 100% stable, although there was an issue one time when the entire service was down for a day. This had a big impact, globally, although they were able to compromise with people who were affected.

This solution is used by the consumers of our products, of which there are at least 10,000.

Microsoft technical support is good because we have an enterprise agreement. We are happy with it.

We had our own servers, on-premises, and then we migrated to Azure.

The initial setup was of medium difficulty. I would not say that it is simple or complex, and they have good documentation to help.

It took more than six months to fully migrate to the Azure environment.

In the beginning, we had assistance from Microsoft. They helped us to come up with the proof of concept and the use case for our business. After that, our internal team took over. I would say that we had about 10% external help.

Azure Object Storage is a product that I strongly recommend for storing all of your unstructured data. Similarly, if you don't know what kinds of data you need to store, then this is the right choice. It also does well if you have massive volume.

There is an IoT hub that is going to be released and my hope is that it includes many advanced features.

I would rate this solution a nine out of ten.

The solution is used for the compilation of information for the company.

It has helped with data management.

The deployment process needs improvement, and it requires a lot of expertise to use and to utilize it.

I have been using Microsoft Azure Object Storage for only one year.

The stability of the solution is rated as seven out of ten.

The solution is scalable, and I would rate its scalability as eight out of ten.

Microsoft technical support is helpful. I would rate their support as eight out of ten.

Positive

The deployment was handled by a third-party company.

We have not yet fully completed one year of usage, so we cannot judge the ROI at this time. Still, we hope it will benefit our company.

The pricing is higher than CNC. On a scale of one to ten, I would rate the pricing as six to seven.

I'd rate the solution seven out of ten.

We can store and load data into Snowflake using the product. We can easily create a storage layer in any system. We can store and backup data at any point before transformation.

The product's cost needs improvement during the POC stage. Additionally, its user interface could be better compared to AWS and GCP.

It is a stable product. I rate its stability a nine out of ten.

I rate the product's scalability a nine out of ten.

We are running AWS and GCP as well.

I rate the initial setup process a seven out of ten. You need to understand many things by referring to the documentation before implementing it.

I rate Azure Blob storage's pricing a seven out of ten. Additional costs depend on the data and complexity of the project.

I rate Azure Blob storage an eight out of ten.

I recommend it to others as it is a leading cloud provider. I advise the customers to consider the cost. If you find it expensive, you can go for GCP and AWS.

It's primarily used by our data science team. They use it to augment any of the works that they probably cannot do very well in KNIME.

It's a very powerful tool, however, we don't use it to the right level. We are still learning the tool. We have this very powerful engine that we are not yet utilizing to the next level. At the moment, we're just trying to see whether we have automated ML scripts that we can adopt to train a model, for example. Really we're using it for proof of concept. We haven't deployed anything to production.

It's easy to use.

We're still testing the solution. It's too early to make any suggestions as to what may be missing.

We've been using the solution for two years. 

The stability is quite good. there are no bugs or glitches and it doesn't crash or freeze, it is reliable. 

We've never had any problem with scaling. It is scalable. Being a government institution and having that contract signed at the government level, we just have to request additional resources or storage capacity. It's very good.

Technical support is very good. 

We initially started our journey on KNIME and we run KNIME side by side, so data scientists can have the ability to do their models either in Lime or, if they choose to, they can also do that in Azure.

The solution is very easy to set up. It's not overly complex. 

We've got this Microsoft contract and we have round-the-clock Microsoft engineers who are able to actually assist us with any problems.

We're customers and end-users.

It's a very powerful tool. I love the fact that Microsoft was really committed to improving it. Therefore, from the early days that we started using it, we can actually see that continuously there are changes and improvements. They do listen to their customers. They really try to make sure that they have a best-in-class product.

Microsoft would be very good for very big organizations. In terms of KNIME, the good thing is you can actually scale it down with a small organization that doesn't want to really go really big. They both work and they're complementary. 

I would rate it eight out of ten.