--- title: Azure Machine Learning Reviews meta\_title: 'Azure Machine Learning Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 90 reviews by the users' company size, role or industry to find out how Azure Machine Learning works for a business like yours. aggregate\_rating: rating\_value: 4.3 review\_count: 90 scale: '5' date\_modified: '2026-08-09' parent\_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence ---

# Azure Machine Learning Reviews & Product Details

Claimed

###### Profile Status

This profile is currently managed by Azure Machine Learning but has limited features.  
  
Are you part of the Azure Machine Learning team? [Upgrade your plan](https://sell.g2.com) to enhance your branding and engage with visitors to your profile!

Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces. - AI Infrastructure: Take advantage of purpose-built AI infrastructure uniquely designed to combine the latest GPUs and InfiniBand networking. - Automated Machine Learning: Rapidly create accurate machine learning models for tasks including classification, regression, vision, and natural language processing. - Responsible AI: Build responsible AI solutions with interpretability capabilities. Assess model fairness through disparity metrics and mitigate unfairness. - Model Catalog: Discover, fine-tune, and deploy foundation models from Microsoft, OpenAI, Hugging Face, Meta, Cohere, and more using the model catalog. - Prompt Flow: Design, construct, evaluate, and deploy language model workflows with prompt flow. - Managed Endpoints: Operationalize model deployment and scoring, log metrics, and perform safe model rollouts. Primary Value and Solutions Provided: Azure Machine Learning accelerates time to value by streamlining prompt engineering and machine learning model workflows, facilitating faster model development with powerful AI infrastructure. It streamlines operations by enabling reproducible end-to-end pipelines and automating workflows with continuous integration and continuous delivery (CI/CD). The platform ensures confidence in development through unified data and AI governance with built-in security and compliance, allowing compute to run anywhere for hybrid machine learning. Additionally, it promotes responsible AI by providing visibility into models, evaluating language model workflows, and mitigating fairness, biases, and harm with built-in safety systems.

* * *

Seller
[Microsoft](https://www.g2.com/sellers/microsoft)
Discussions
[Azure Machine Learning Community](https://www.g2.com/products/microsoft-azure-machine-learning/discuss)
Solution Type

All-in-One

Overview by
Don Scott (GM, AI Product @ Microsoft)

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## Value at a Glance

Averages based on real user reviews.

### Time to Implement

3 months

### Return on Investment

11 months

[
View More Pricing Information
](https://www.g2.com/products/microsoft-azure-machine-learning/pricing)

## Top-Rated Alternatives

[

 ![Gemini Enterprise Agent Platform](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Gemini Enterprise Agent Platform")

Gemini Enterprise Agent Platform

4.3/5(745)

](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)

[

 ![Dataiku](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Dataiku")

Dataiku

4.4/5(224)

](https://www.g2.com/products/dataiku/reviews)

[

 ![Amazon SageMaker](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Amazon SageMaker")

Amazon SageMaker

4.3/5(57)

](https://www.g2.com/products/amazon-sagemaker/reviews)

[
View All Alternatives
](https://www.g2.com/products/microsoft-azure-machine-learning/competitors/alternatives)

## User Insights

Average based on 90 real user reviews.

Implementation Time

3 months

Perceived Cost

$$$$$

[Log in to unlock pricing and user insights](/login)

 ![Verified User in Management Consulting](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Management Consulting")
GM

Verified User in Management Consulting

Small-Business (50 or fewer emp.)

6/28/2018

"Azure is a high quality engine"

2/5

What do you like best about Azure Machine Learning?

I appreciate the ability for azure to add in dimensionality to processing power. It is extremely power as a PAAS SAAS IAAS platform and allows users to determine on their own the best approach to the solution of their specific individual needs. I also like the quality with which Azure provides customer support and help assistance to clients. It is a robust platform with a robust user base. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

I dislike the price point at which Azure markets itself. It does not make sense to charge that much given their lower costs compared to competitors. Review collected by and hosted on G2.com.

What problems is Azure Machine Learning solving and how is that benefiting you?

Business problems such as ML can easily be solved using Azure. Azure provides a way to learn and segment data cleanly. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

## Questions about Azure Machine Learning? Ask real users or explore answers from the community

Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights.

[
Ask about Azure Machine Learning
](https://www.g2.com/products/microsoft-azure-machine-learning/discussions/new)

GU

Guest User
•
Last activity 3 months ago

What is Azure Machine Learning Studio used for?

0 Upvotes

1

[
Join the conversation
](https://www.g2.com/discussions/what-is-azure-machine-learning-studio-used-for)

[
View all Discussions
](https://www.g2.com/products/microsoft-azure-machine-learning/discuss)

## Pricing Insights

Averages based on real user reviews.

### Time to Implement

3 months

### Return on Investment

11 months

### Average Discount

9%

[
View More Pricing Information
](https://www.g2.com/products/microsoft-azure-machine-learning/pricing)

Azure Machine Learning Comparisons

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_b3390b4cc3d92e87d570895f7358c003/amazon-sagemaker.jpg "Product Avatar Image")

Amazon SageMaker

4.3/5(57)

[
Compare Now
](https://www.g2.com/compare/amazon-sagemaker-vs-microsoft-azure-machine-learning)

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_5015a6ccbbe12278ba4392c1c0d806be/ibm-watson-studio.png "Product Avatar Image")

IBM Watson Studio

4.2/5(170)

[
Compare Now
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 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_aeae116c52945fdecd7ed16d621cb315/gemini-enterprise-agent-platform.png "Product Avatar Image")

Gemini Enterprise Agent Platform

4.3/5(745)

[
Compare Now
](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-gemini-enterprise-agent-platform)

##### 
##### Azure Machine Learning Features

Model Development

Language Support

Drag and Drop

Pre-Built Algorithms

Machine/Deep Learning Services

Computer Vision

Natural Language Processing

Natural Language Generation

Deployment

Managed Service

Application

Scalability

System

Data Ingestion & Wrangling

[
View More Features
](https://www.g2.com/products/microsoft-azure-machine-learning/features)

##### Categories on G2

[Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)[Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure)[MLOps Platforms](https://www.g2.com/categories/mlops-platforms)

[Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)[Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure)[MLOps Platforms](https://www.g2.com/categories/mlops-platforms)[Large Language Model Operationalization (LLMOps)](https://www.g2.com/categories/large-language-model-operationalization-llmops)[Low-Code Machine Learning Platforms](https://www.g2.com/categories/low-code-machine-learning-platforms)

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