Azure Machine Learning
Reviews
Star rating
Rank in MLOps Platforms
Pros and cons
Pros
- Features
- Ease of Use
- Customer Support
- Data Management
- Implementation Ease
- Efficiency
Cons
- Learning Curve
- Difficult Navigation
- UX Improvement
- Poor UI
- Insufficient Learning Resources
- Lack of Guidance
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 33.3% |
| Mid-Market | 26.7% |
| Enterprise | 40.0% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2025 Q1 | 1 | 4.0 |
| 2026 Q2 | 2 | 4.5 |
Satisfaction ratings
What reviewers say
An Enterprise-Grade Way to Operationalize ML
“It’s best for giving us an enterprise way to operationalize ML, without having to stitch everything together ourselves.”
Cost-Efficient Medical Data Integration Backed by Great Support
“I used it to integrate our medical data for user data processing. The solution was cost-efficient, and we also received good support from the customer support team.”
Powerful and easy to use machine learning platform
“The service is easy to use and have many interesting features to upload data and catch patterns along them, the interface can be better but compliments my needs. If you have doubts about the implementation are many information in the web or you can request help from the microsoft”