Name: Microsoft Azure
Rating: 4.5 (2363 reviews)

Overview

Product Information on Microsoft Azure

Updated 13th October 2025

What is Microsoft Azure?

Microsoft Azure is a cloud computing software that offers a range of services including virtual machines, databases, networking, storage, artificial intelligence, and analytics. The software enables organizations to build, deploy, and manage applications across a global network of data centers. It allows users to scale resources as required and supports multiple operating systems and development frameworks. Azure provides tools for security, compliance, and disaster recovery to help address business continuity challenges. It is designed to support workloads from simple web hosting to complex data analysis, allowing businesses to optimize infrastructure management and operational efficiency.

Overall experience with Microsoft Azure

DEVELOPER FOR WEBMETHODS, MS POWERPLATFO

50M - 250M USD, IT Services

FAVORABLE

“A strong enterprise-ready platform for generative AI adoption, especially for existing Azure customers”

5.0

Mar 2, 2026

We started using Microsoft Azure several years ago for general cloud workloads and more recently began using it to support generative AI use cases. Our main focus has been experimenting with Azure OpenAI services and running AI-related workloads alongside existing applications. One advantage for us was that we didn't need to introduce a completely new platform; we could build on infrastructure and identity management we already had in Azure.

Forensic Analyst

<50M USD, IT Services

CRITICAL

“Granular User Controls Stand Out While Azure Pricing Remains a Concern”

3.0

Dec 24, 2025

My experience with Azure has been OK. It's simple to use at a basic level and allows a great deal of customization of roles for users and computers on the admin side. On the user sude, Azure servers and connected computers are very easy to remote into and use off-premises. Azure is expensive, though. I'd not recommend it for people with smaller wallets.

About Company

Company Description

Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement. Microsoft Security helps protect people and data against cyberthreats to give peace of mind.

Company Details

Company type

Public

Year Founded

1975

Head office location

Redmond, Washington, United States

Number of employees

10000+

Annual Revenue

30B+ USD

Website

https://microsoft.com

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Microsoft Azure Likes & Dislikes

What I like most is how well generative AI services integrate with existing Azure components such as storage, networking, and security controls. We were able to connect AI services to existing applications without redesigning our architecture completely. Azure also provides enterprise-level controls around access management and compliance, which is important when working with AI models and sensitive data. The availability of managed services reduces the operational overhead compared to running AI infrastructure completely on your own.

When it comes to Microsoft Axure, I absolutely love the granular control that it has over virtually anything. MS Azure allows me to give many permissions to network users on a per0user or per-group basis. The control panel also allows me to provide specific controls for things like password policy and 2FA requirements. That's the most awesome thing I can think of.

Tight integration with MS 365, Intune and Entra ID for Identity and device management. Robust VM, networking and security capabilities that simplify hybrid-cloud ops. Comprehensive monitoring and management tools (azure monitor, log analytics, defender for cloud). Large ecosystem of templates, automaton options and 3rd party integrations.

One challenge we experienced is cost transparency. AI workloads can scale quickly, and it's sometimes difficult to predict expenses during experimentation phases. Monitoring and optimization require active attention. Documentation and service options can also feel overwhelming, especially since Azure's AI offerings are evolving rapidly. It's not always obvious which service or architecture pattern is the right choice. In addition, regional availability and quota limitations occasionally slowed down our testing efforts.

I dislike the prices and the admin panel design. When I was using it a while back, I noticed that MS Azure had higher prices in a lot of areas than did the competition. I think they would take money from the competition if they just lowered prices a little bit.

Pricing structure is very complex. Unexpected costs can appear when workloads scale or when monitoring and backup services aren't properly scoped. The portal UI can feel inconsistent across different Azure services. Some settings are buried several layers deep. Documentation occasionally lags behind new feature releases, making deployment of new services more trial and error than it should be.

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Peer Discussions

What Your Peers Are Saying About Microsoft Azure

VP Hosting and Infrastructure Services

Anyone used Virtual Desktops in cloud? AWS or Azure? Whats your experience?

Head of Product & Software Development

Azure. It’s a bit slow sometimes but it’s the future. We’re thinking about shifting every machine to the cloud in the next 1-2 years

See Full Discussion

22 Apr 20234k Views6 Comments

Microsoft Azure Reviews and Ratings

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DEVELOPER FOR WEBMETHODS, MS POWERPLATFO
50M-1B USD
IT Services
Review Source
A strong enterprise-ready platform for generative AI adoption, especially for existing Azure customers
5.0
Mar 2, 2026
We started using Microsoft Azure several years ago for general cloud workloads and more recently began using it to support generative AI use cases. Our main focus has been experimenting with Azure OpenAI services and running AI-related workloads alongside existing applications. One advantage for us was that we didn't need to introduce a completely new platform; we could build on infrastructure and identity management we already had in Azure.
SYSTEMS ENGINEER
<50M USD
Miscellaneous
Review Source
Scalability and Security Valued in Azure Despite Portal Inconsistencies and Costs
4.0
Nov 5, 2025
Azure has been a reliable platform for enterprise workloads, especially as we've migrated on-prem infrastructure and file shares into the Microsoft 365 ecosystem. Integration with other MS services like Entra ID, Intune, and SharePoint Online has been smooth and well-supported. Pricing transparency and documenting could improve, but overall, Azure provides the scalability, flexibility, and security we need to manage both production and development environments efficiently.
Sr. Systems Administrator
50M-1B USD
Media
Review Source
Microsoft Azure Offers Broad Services But Portal Stability Remains a Challenge
5.0
Mar 4, 2026
One of the great things we like about Microsoft Azure is that it has a consistent identity and access infrastructure whether it be Entra ID, RBAC, Conditional Access, everything works in sync. Another thing is simplified lifecycle operations, like for VM's it has native support for managed disks, backups, monitoring etc. Security is also great, you can have rule based NSGs at the subnet and NIC level. App services are good and offer multiple deployment slots, environment separations and rollbacks.
SOFTWARE DEVELOPER
<50M USD
Media
Review Source
Comprehensive Cloud Services Offer Scalability But Pose Steep Learning Curve Challenges
5.0
Nov 26, 2025
Largely positive experience. Offers an extensive range of services for computing, storage, networking and AI making it suitable for both small and large scale deployments. I appreciate the strong integration with other Microsoft products, the robust security features and extensive documentation. Pricing can be complex and their is a steep learning curve for beginners but ultimately, it is a reliable and scalable solution.
Senior It Manager
<50M USD
Services (non-Government)
Review Source
Scalable and Powerful AI-ready cloud platform with strong performance but requires careful cost management
5.0
Mar 20, 2026
I was directly involved in the full lifecycle of adopting Microsoft Azure, from evaluation to implementation as part of transitioning to cloud based AI infrastructure. The platform enables rapid deployment and strong performance across Azure Gen AI services - like Azure OpenAI service, GPU-based VMs, AKS, and Azure AI Search service. This helps us to achieve a lot of automation within the organization to eliminate manual efforts put for analysis and business process mapping.

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