Microsoft Corporation

Microsoft Azure Machine Learning

8.7 /10

40 Reviews Write a Review

Claim Software

What is Microsoft Azure Machine Learning?

Machine Learning Studio is a powerfully simple browser-based, visual drag-and-drop authoring environment where no coding is necessary. Go from idea to deployment in a matter of clicks. Microsoft Azure Machine Learning Studio is a collaborative, drag-and-drop tool you can use to build, test, and deploy predictive analytics solutions on your data. Machine Learning Studio publishes models as web services that can easily be consumed by custom apps or BI tools such as Excel.

Company Details

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

Microsoft Azure Machine Learning won the following awards in the Machine Learning Platforms category

Filter By

2024 Data Quadrant Gold Medalist

Latest Award, 2024

5 Top Rated Capabilities

9 Top Rated Features

Latest Award, 2024

2023 Emotional Footprint Champion

2023

Strategy and Innovation
Service Experience
Product Impact

2023

2023 Data Quadrant Gold Medalist

2023

6 Top Rated Capabilities

13 Top Rated Features

2023

Microsoft Azure Machine Learning Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Microsoft Azure Machine Learning.

89 Likeliness to Recommend

100 Plan to Renew

86 Satisfaction of Cost Relative to Value

{y}

{name}

Emotional Footprint Overview

+92 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Microsoft Azure Machine Learning?

0% Negative

3% Neutral

97% Positive

Pros

Performance Enhancing
Respectful
Includes Product Enhancements
Reliable

Feature Ratings

Average 83

Model Training

Data Exploration and Visualization

Pre-Packaged AI/ML Services

Feature Engineering

Data Pre-Processing

Model Tuning

Data Labeling

Performance and Scalability

Model Monitoring and Management

Explainability

Data Ingestion

Vendor Capability Ratings

Average 82

Breadth of Features

Quality of Features

Ease of Customization

Availability and Quality of Training

Ease of Data Integration

Ease of IT Administration

Ease of Implementation

Business Value Created

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Vendor Support

Microsoft Azure Machine Learning Reviews

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Anonymous Reviewer

Submitted Aug 2024

Fantastic features. Helps in growth.

Likeliness to Recommend

9 /10

Pros

Continually Improving Product
Reliable
Performance Enhancing
Trustworthy

Ritika B.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jul 2024

Best tool from Microsoft

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Machine Learning from other similar products?

It Reproduce end-to-end pipelines and automate workflows . Reproduce end-to-end pipelines and automate workflows. Also it Streamlines prompt engineering and ML model workflows.

What is your favorite aspect of this product?

My personal favorite is that it design responsibly.. I also like that it provides various MLOps tools that help you monitor, retrain, and redeploy machine learning models in production

What do you dislike most about this product?

High pricing, It would be better if that could be made a bit reasonable.

What recommendations would you give to someone considering this product?

I would recommend new users to go through the initial trainings for a better understanding of it's features. It allows a smooth experience later on

Pros

Enables Productivity
Unique Features
Efficient Service
Client Friendly Policies

K. BHAVYA S.

Role: Information Technology
Industry: Technology
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jun 2024

Running ML applications Virtually with low cost.

Likeliness to Recommend

10 /10

What differentiates Microsoft Azure Machine Learning from other similar products?

More services and easy of use and integration with projects and the products.

What is your favorite aspect of this product?

servers usage is far better than others.

What do you dislike most about this product?

Nothing like that i like the product more.

What recommendations would you give to someone considering this product?

Must use this applications for developing ml applications easily.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Microsoft Azure Machine Learning

What is Microsoft Azure Machine Learning?

Company Details

Need Assistance?

Awards & Recognition

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

Microsoft Azure Machine Learning Ratings

89 Likeliness to Recommend

100 Plan to Renew

86 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+92 Net Emotional Footprint

How much do users love Microsoft Azure Machine Learning?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Model Training Ability to train a model with a range of data sets that you provide.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

Feature Engineering Ability to extract and build features from raw data.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Model Tuning 'Ability to fine-tune models based on monitoring feedback within the platform.

Data Labeling Ability to annotate/ label data to create a training data set.

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Explainability Ability to explain/ visualize the model.

Data Ingestion Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Microsoft Azure Machine Learning Reviews

Fantastic features. Helps in growth.

Likeliness to Recommend

Pros

Ritika B.

Best tool from Microsoft

Likeliness to Recommend

Pros

K. BHAVYA S.

Running ML applications Virtually with low cost.

Likeliness to Recommend

Pros

Most Popular Microsoft Azure Machine Learning Comparisons

Google Cloud Vertex AI

MathWorks Matlab

AWS Machine Learning

Alteryx

Databricks Data Intelligence Platform

DataRobot AI Platform

Feature Ratings

Model Training

Data Exploration and Visualization

Pre-Packaged AI/ML Services

Feature Engineering

Data Pre-Processing

Model Tuning

Data Labeling

Performance and Scalability

Model Monitoring and Management

Explainability

Data Ingestion

Vendor Capability Ratings

Breadth of Features

Quality of Features

Ease of Customization

Availability and Quality of Training

Ease of Data Integration

Ease of IT Administration

Ease of Implementation

Business Value Created

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Vendor Support