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Microsoft Azure Machine Learning Studio Reviews

Vendor: Microsoft
3.9 out of 5
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What is Microsoft Azure Machine Learning Studio?

Featured Microsoft Azure Machine Learning Studio reviews

Microsoft Azure Machine Learning Studio mindshare

Product category:
As of May 2026, the mindshare of Microsoft Azure Machine Learning Studio in the AI Development Platforms category stands at 3.5%, down from 7.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
Microsoft Azure Machine Learning Studio3.5%
Gemini Enterprise Agent Platform8.4%
Azure OpenAI6.6%
Other81.5%
AI Development Platforms

PeerResearch reports based on Microsoft Azure Machine Learning Studio reviews

TypeTitleDate
CategoryAI Development PlatformsMay 9, 2026Download
ProductReviews, tips, and advice from real usersMay 9, 2026Download
ComparisonMicrosoft Azure Machine Learning Studio vs Gemini Enterprise Agent PlatformMay 9, 2026Download
ComparisonMicrosoft Azure Machine Learning Studio vs Azure OpenAIMay 9, 2026Download
ComparisonMicrosoft Azure Machine Learning Studio vs Hugging FaceMay 9, 2026Download
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Databricks4.1N/A96%93 interviewsAdd to research
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Review data by company size

By reviewers
Company SizeCount
Small Business22
Midsize Enterprise6
Large Enterprise26
By reviewers
By visitors reading reviews
Company SizeCount
Small Business311
Midsize Enterprise112
Large Enterprise416
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
8%
Performing Arts
7%
Computer Software Company
6%
Construction Company
5%
Educational Organization
5%
Comms Service Provider
5%
University
5%
Outsourcing Company
5%
Healthcare Company
5%
Insurance Company
4%
Retailer
4%
Energy/Utilities Company
4%
Government
3%
Real Estate/Law Firm
2%
Media Company
2%
Wholesaler/Distributor
2%
Marketing Services Firm
2%
Legal Firm
2%
Non Profit
2%
Consumer Goods Company
1%
Hospitality Company
1%
Pharma/Biotech Company
1%
Transportation Company
1%
Recreational Facilities/Services Company
1%
Logistics Company
1%

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Microsoft Azure Machine Learning Studio Reviews Summary
Author infoRatingReview Summary
Data Scientist4.5I use Microsoft Azure Machine Learning Studio for quick AI deployments, benefiting from its low-code interface, deep Python integration, and scalability. It significantly reduces development time, though initial setup can be challenging. My organization sees improved efficiency and ROI.
Senior Developer at a financial services firm with 10,001+ employees3.5We recently began using Microsoft Azure Machine Learning Studio for report generation and integrating it with applications and OpenAI. Its platform supports large language model integration, but we need more time to identify improvement areas as we explore further.
Public Cloud at KDDI Corporation3.5I use Microsoft Azure Machine Learning Studio for system reselling and integration. Its drag-and-drop interface enhances workflow, offering cost savings and ROI. I would, however, appreciate improved integration, more AI features, and easier customization in future updates.
Data Engineer at a educational organization with 201-500 employees4.0I use Microsoft Azure Machine Learning Studio primarily for model versioning and monitoring. Its flexibility and managed services are valuable, though it could improve by incorporating more LLM-specific services. I also evaluated Google Vertex AI for its beginner-friendly LLM features.
Solution Sales Specialist at Intent Solutions Group4.0I use Microsoft Azure Machine Learning Studio primarily for integration with Azure AI and business needs due to its smooth service integration and user-friendly tools. However, the pricing is not affordable for everyone, and measuring ROI is difficult.
Senior Expert Data Science Product Owner at Boyner Buyuk Magazacilik A.S.4.0I use Microsoft Azure Machine Learning Studio for product prediction and retail processes, developing ML algorithms with data from Azure and Cynet. Although expensive, it's more expansive than small tools like DataIQ, but pricing improvements are needed.
Lead Technical Instructor at Code.Hub5.0We aim to integrate AI models into our business using Microsoft Azure Machine Learning Studio, which is well-organized and allows quick pipeline creation. Although switching accounts can be challenging, the tool simplifies deployment and enhances customer solutions efficiently.
Digital Operations Manager at UNILIN4.0We use Microsoft Azure Machine Learning Studio primarily for model training and data labeling. Its seamless integration with Azure benefits us, though improvements are needed in labeling jobs since we juggle between REST APIs and various tools.