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Darwin vs Microsoft Azure Machine Learning Studio comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.2
Companies find Darwin efficient, preventing revenue loss and enhancing machine learning, with returns two to three times higher.
Sentiment score
6.6
Microsoft Azure Machine Learning Studio offers a 36% ROI by simplifying processes, reducing errors, and providing estimation tools.
 

Customer Service

Sentiment score
8.4
Darwin's support is highly responsive and efficient, quickly resolving issues and providing valuable guidance, ensuring customer satisfaction.
Sentiment score
7.1
Users generally rate Microsoft Azure Machine Learning Studio's technical support from moderate to high, appreciating its responsiveness and comprehensive assistance.
Microsoft technical support is rated a seven out of ten.
 

Scalability Issues

Sentiment score
6.7
Darwin scales well with challenges on large datasets; plans for expansion need internal changes for wider departmental adoption.
Sentiment score
7.3
Microsoft Azure Machine Learning Studio is highly rated for scalability, suitable for medium and large organizations, despite some complexity.
Microsoft Azure Machine Learning Studio is scalable as I can choose the compute, making it flexible for various scales.
We are building Azure Machine Learning Studio as a scalable solution.
 

Stability Issues

Sentiment score
7.0
Darwin's stability has improved, boasting 99% availability, though some issues persist; support is responsive, yet enhancements continue.
Sentiment score
7.8
Microsoft Azure Machine Learning Studio is reliable but faces stability issues with JavaScript and concerns about its future.
 

Room For Improvement

Darwin users seek API integration, improved functionality, educational resources, and better automation for precision and transparency in AI processes.
Improving Azure Machine Learning Studio involves enhancing integration, usability, documentation, security, performance, and expanding features and tutorials.
It would be beneficial for them to incorporate more services required for LLMs or LLM evaluation.
In future updates, I would appreciate improvements in integration and more AI features.
I find the pricing to be not a good story in this case, as it is not affordable for everyone.
 

Setup Cost

Darwin's licensing costs are significant yet often seen as valuable, with predictable setup fees and optional costs for integrations.
Azure Machine Learning Studio is secure and efficient, but users find pricing complex and potentially expensive with usage-based costs.
I rate the pricing as three or four on a scale of one to ten in terms of affordability.
 

Valuable Features

Darwin excels in data cleaning, model-building, and integration, enhancing productivity and accessibility for non-experts in machine learning.
Microsoft Azure Machine Learning Studio offers a user-friendly interface, seamless deployment, and strong integration for efficient model development and scalability.
The platform provides managed services and compute, and I have more control in Azure, even in terms of monitoring services.
Machine Learning Studio is easy to use, with a significant feature being the drag and drop interface that enhances workflow without any complaints.
Azure Machine Learning Studio provides a platform to integrate with large language models.
 

Categories and Ranking

Darwin
Ranking in Data Science Platforms
27th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Microsoft Azure Machine Lea...
Ranking in Data Science Platforms
4th
Average Rating
7.6
Reviews Sentiment
7.0
Number of Reviews
61
Ranking in other categories
AI Development Platforms (3rd)
 

Mindshare comparison

As of April 2025, in the Data Science Platforms category, the mindshare of Darwin is 0.3%, up from 0.3% compared to the previous year. The mindshare of Microsoft Azure Machine Learning Studio is 5.3%, down from 9.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

AC
Empowers SMEs to build solutions and interface them with the existing business systems, products and workflows.
There's always room for improvement in the UI and continuing to evolve it to do everything that the rest of AI can do. Because it's so much better than traditional methods, we don't get a ton of complaints of, "Oh, we wish we could do that." Most people are happy to see that they can build models that quickly, and that it can be done by the people who actually understand the problem, i.e. SMEs, rather than having to rely on data scientists. There's a small learning curve, but it's shorter for an SME in a given industry to learn Darwin than it takes for data scientists to learn industry-specific problems. The industry I work in deals with tons and tons of data and a lot of it lends itself to Darwin-created solutions. Initially, there were some limitations around the size of the datasets, the number of rows and number of columns. That was probably the biggest challenge. But we've seen the Darwin product, over time, slowly remove those limitations. We're happy with the progress they've made.
Takayuki Umehara - PeerSpot reviewer
Streamlined workflows with drag and drop convenience but needs enhancements in AI
I use Machine Learning Studio for system reselling and integration Machine Learning Studio is easy to use, with a significant feature being the drag and drop interface that enhances workflow without any complaints. It provides a return on investment and cost savings, proving beneficial for…
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Computer Software Company
10%
Manufacturing Company
10%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Ask a question
Earn 20 points
Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
What do you like most about Microsoft Azure Machine Learning Studio?
The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem.
What is your experience regarding pricing and costs for Microsoft Azure Machine Learning Studio?
Pricing is considered to be top-segment and should be improved. I rate the pricing as three or four on a scale of one to ten in terms of affordability.
 

Also Known As

No data available
Azure Machine Learning, MS Azure Machine Learning Studio
 

Overview

 

Sample Customers

Hunt Oil, Hitachi High-Tech Solutions
Walgreens Boots Alliance, Schneider Electric, BP
Find out what your peers are saying about Darwin vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: April 2025.
849,190 professionals have used our research since 2012.