Microsoft Azure Reviews & Product Details

Azure FXT allows for fast file access. Furthermore incredibly user-friendly is its UI. Because of its great performance and ease of use, the task becomes more easier and saves a lot of time.

I haven't seen anything that I don't like yet, but even though there are security risks associated with all cloud storage, I have some reservations.

The benefits of using Azure FXT Edge Filer to me include improved data access performance, cost savings, enhanced collaboration, and the ability to seamlessly integrate on-premises and cloud environments.

SQL has Robust Performance a Comprehensive Toolset with Strong Security Features.

SQL can have a costly licece, ties you into the microsoft eco system and can be resource intensive.

Azure SQL DB makes scaling easier as we grow - it allows us to make use of elastic pools andauto scaling. It also has built in high availability with geo replication to minimize downtime.

DBaaS being a cloud database is an efficient and effective solution to all the problems of managing the organization data in way such that it delivers best performance. Highly Scable for small and medium type organizations.

Although DBaaS is exceptional service but it also has some downfalls which are sometimes there are security concerns regarding the data, performance issues in rare cases. Apart from that, for very small scale purposes, costing is little bit on higher side.

Organizing data effectively and efficiently, Fast, User Friendly, Reliability of the service, Backup of data

Easy to use and managed platform by azure

Less extension support for postgresql database

We do not have to manage platform like doing installation and updating the server

Azure Databases supports various types of databases, including relational databases, NoSQL databases, and in-memory databases. It also provides features for managing data at scale, including automatic scaling, high availability, and disaster recovery. Based on business requirements, we can choose the plans.

I don't have any dislikes higher than the purchase cost.

As mentioned earlier, scalability is the Azure database's primary benefit and increases the security of our data.

There are a ton of features and services offered on Azure. You can set up just about any application or workflow you need, tie things together with their security groups. AD, etc. to create a secure environment.

Things change often so you need to invest time regularly to understand the changes to the platform and what impact they have to your implementations. The documentation can sometimes lag these changes.

We have been able to create multiple SaaS applications running on Azure to move our entire application footprint to the cloud. We have seen a decrease in cost and increase in uptime.

It is a good public cloud platform which we have used it in our organization for years now. The best best that it has is TCO which helps you to calculate the cost the cost before the migration and before of this you can choose the best alternatives for you

The feature that i dislike most is the pay as you go feature. This is very expensive option.

It is a cloud based platform which allows to carry out a wide and diverse range of operations from anywhere and on device using internet. You can use it individually or in combination with other cloud based application as well. It is user friendly and easy to deploy.

Speed of service, flexibility and disaster recovery.

Poor management GUI tool and lack of integrated backup.

Cloud enginnering.

Data point, Graphical presentation, Ease of Use

Reports extraction, issue solution not readily available

Services,

Integrations with M365 suite. Company can now have completed Cloud Hybrid modell.

Lack of hand of experience on the tools.

NA

That everything is in one place. Clean UI

CI CD is a little bit complex to understand at first nad it's not intuitive

Help me organize all the repos and groups. I don't know about any financial thing

Azure CDN ,Azure SQL ,Azure virtual desktop these all service is best in Azure.

In my knowledge all are good. Because till now I am not using all Azure service's.

Hole Azure cloud is beneficial for me ,because I am using inhouse server before Azure use.

cost effective, secure and good for enterprises.

Not good support for infrastructure as a code and kubernets.

Majorly on security aspect like connecting cloud with on Prem. Securely processing the data in cloud.

I like the way services are placed , VMS' ,Security

Understadning of some servcies, you need to be very clear what your requirement

I am still learning it

Azure offer good range of enterprise app

Cost is little higher compared to others

They can be used for application deployment as well as for any database needs in the business requirement

It provides a host of AI/ML services that can be leveraged to build innovative solutions.

The learning curve might be a bit steep for users new to the cloud. Documentation can be improved.

Have used AI services in real-world use cases.

Being one of the largest cloud service provider, maintaining high SLAs and providing smooth services and experience.

Till now I haven't seen any downside of using Microsoft Azure products.

Providing pay as you go model is beneficial for small and large enterprises. That is reducing cost as well as time.

Global and Local instances for certain reasons. Easier hierarchal & Global Policy enforcement options.

GUI interface of Azure is not appealing like GCP or AWS

The primary cloud offering we have is Azure.

I think the Hybrid approach works best in today's connected world and this is a good move from MS Azure. Gives the flexibility to use on-premise as well as in the cloud.

Still need to get more understanding on the price and how it competes with other storage vendors in the market with similar capabilities in Azure marketplace.

Nothing to report as of now.

There are many things like 1.scalabilty 2.load balancing 3.Cost ratios 4.Backup and restoration

There are couple of areas where they do need improvement like 1.Not that evolved for automation 2. Unavailablity of small size VM 3.lack of clear grouping of resourc VM

We were creating a data pipeline infused with bpm and customised CRM to create system to handle data operations of large scale