TrustRadius: an HG Insights company

Microsoft Azure

Score8.4 out of 10

1,086 Reviews and Ratings

Get a Demo

What is Microsoft Azure?

Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.

Categories & Use Cases

Key Features

Learn about the best (and worst!) features Microsoft Azure has to offer, as determined by TrustRadius' reviewers.
Based on 1,086 ratings of Microsoft Azure's features
View all features

Top Performing Features

  • Operating system support

    Range of operating systems available as pre-configured images

    Category average: 8.2

  • Dynamic scaling

    Ease of scaling up or down in response to customer needs

    Category average: 8.7

  • Elastic load balancing

    Automatic balancing and distribution of resources across multiple virtual computers

    Category average: 8.9

Areas for Improvement

  • Pre-configured templates

    Pre-defined templates for virtual machines

    Category average: 7.7

  • Automation

    Automation of administrative tasks

    Category average: 7.5

  • Service-level Agreement (SLA) uptime

    The service uptime as a percentage defined in the SLA

    Category average: 8.4

Reviews

What users are saying about Microsoft Azure.
View all reviews

A powerful platform to integrate Microsoft services

Incentivized
Xiang Li
Director in Information Technology at nyit (1001-5000 employees employees)

Use Cases and Deployment Scope

Our organization uses Microsoft Azure cloud platform for the enterprise-level workflows. For example, we integrate it with Microsoft infrastructure, like Office365, Active Directory, API management and Teams.

Pros

  • API Management
  • Connect the existing on-premises systems to cloud solutions
  • Its cloud computing, analytics, and storage services.

Cons

  • The support is weak
  • Crossing platform issues
  • Deployment issues

Return on Investment

  • Reliable cloud services
  • The use of AI technology
  • Easy to manage

Usability

Alternatives Considered

AWS Auto Scaling and Google Cloud Platform

Other Software Used

Google Cloud Platform, AWS Backup, ChatGPT, DeepSeek, Microsoft Copilot

Microsoft Azure - Enterprise Power and Complexity Controlled.

Verified User
Director in Product Management (10,001+ employees employees)

Use Cases and Deployment Scope

As an AI product management technical architect, I leverage Microsoft Azure as our primary cloud platform to deploy and manage our machine learning models at scale, utilizing Azure Machine Learning for model training and Azure Kubernetes Service for robust deployment. Our solution addresses critical business challenges, including real-time data processing, inconsistent model performance, and the high operational costs associated with maintaining on-premises infrastructure. The scope of our Azure implementation spans our entire model lifecycle - from development and testing to production deployment and monitoring.

Pros

  • Enterprise-grade security and compliance.
  • Seamless integration with existing Microsoft products and services.
  • Hybrid cloud capabilities allowing workloads to run both on-premises and in the cloud.

Cons

  • User experience across Azure Portal interfaces lacks consistency and can be unintuitive.
  • Pricing structure remains unnecessarily complex and difficult to predict.
  • Documentation quality varies dramatically between services, with some newer offerings having significant gaps.

Return on Investment

  • Accelerated time-to-market for new AI solutions, reducing deployment cycles drastically.
  • Security features have strengthened our compliance posture.
  • Positive ROI with a 30% overall infrastructure management overhead reduction and improved system reliability.

Usability

Alternatives Considered

Google Cloud AI

Other Software Used

Google Cloud Platform, Amazon Web Services

Microsoft Azure has all you need for cloud services

Incentivized
Verified User
C-Level Executive in Information Technology (201-500 employees employees)

Use Cases and Deployment Scope

We use Microsoft Azure in multiple ways. We run all our own application/software development and application related services in Microsoft Azure. This includes app services, function apps, databases, blob storages etc. We also use Microsoft Azure for reporting, analytics and data warehousing. OpenAI services are utilized as well for our AI needs.

Pros

  • Comprehensive set of services
  • Integrated to other Microsoft ecosystem like M365 and Power apps
  • Constantly evolving

Cons

  • Pricing and billing is not easy to understand
  • Used services may become obsolete/legacy all the sudden and this creates maintenance work for us to keep up
  • There can be redundant looking services and it is not always easy to see which service to use for example for storing data.

Return on Investment

  • It is quick to enable new services and go to market with those. For example we were able to integrate our applications to OpenAI services in weeks.
  • Using micro services we do not need to use time on maintaining the infrastructure and operating systems by ourselves and we save time.
  • Negative impact happens when already used services come obsolete and we need to spend work time to figure out how to migrate/upgrade to the new supported services.

Usability

Alternatives Considered

Amazon Web Services

Microsoft Azure has a good position in the market

Incentivized
Verified User
Engineer in Information Technology (201-500 employees employees)

Use Cases and Deployment Scope

We use Microsoft Azure in lots of different ways, its a versatile product with a lot of different uses. We use it to host VM's, use Entra ID, host storage and as a back-up solution. It offers availability and redundancy without the need of investing in hardware ourselves. You pay for what you use and it's very flexible.

Pros

  • Removes the need to invest in hardware
  • Offers availability and redundancy
  • Constant development

Cons

  • Requires a lot of knowledge to administer
  • Even after obtaining the knowledge, some things are still hard to find

Return on Investment

  • No direct costs for new hardware
  • Great availability
  • Great Scalability

Usability

Alternatives Considered

Hyper-V and VMware vSphere

Microsoft Azure cloud services easily integrated into a hybrid infrastructure model

Incentivized
Verified User
Manager in Information Technology (51-200 employees employees)

Use Cases and Deployment Scope

We have been using Microsoft Azure in my organisation for about 10 yrs, initially just for a few virtual machines and some blob storage, now we have various web services, storage, kubernetes, postgress databases, vpn and dns services.

Pros

  • user management
  • virtual machines
  • blob storage

Cons

  • aspects of front door are confusing
  • cdn is expensive

Return on Investment

  • we can get products to market quicker than trying to build something like Kubernetes in-house
  • for some services it is cheaper to run on-prem, but you need to understand the cba.

Usability

Alternatives Considered

Amazon Web Services

Other Software Used

VMware vSphere, Microsoft 365, Miro

Related Products

Products similar to Microsoft Azure that may also meet your needs.
All comparisons
Amazon Web Services
CompareLearn more
SAP HANA Cloud
CompareLearn more