Introducing G2.ai, the future of software buying.Try now
Compare Azure Machine Learning and Comet.ml 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Alteryx
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
ILUM
Visit Website
At a Glance
Market Segments
Enterprise (38.8% of reviews)
Mid-Market (50.0% of reviews)
Entry-Level Pricing
No pricing available
Free
Azure Machine Learning
Star Rating
(88)4.3 out of 5
Market Segments
Enterprise (38.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Machine LearningComet.ml
Star Rating
(12)4.3 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Free
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Azure Machine Learning excels in scalability, with a score of 8.9, making it a preferred choice for enterprises needing to handle large datasets and complex models. In contrast, Comet.ml's scalability is rated at 7.7, which may limit its effectiveness for larger projects.
- Reviewers mention that Azure Machine Learning offers superior model training capabilities, scoring 8.7, which is enhanced by its robust pre-built algorithms. Comet.ml, while scoring 8.8 in model training, lacks the same depth in pre-built options, which can affect user experience.
- G2 users highlight Azure Machine Learning's ease of deployment with a score of 8.7, allowing for a smoother transition from development to production. Comet.ml, with a score of 7.7, may present more challenges in this area, particularly for users unfamiliar with its interface.
- Reviewers say that Azure Machine Learning's quality of support is rated at 8.6, indicating a strong commitment to customer service. In comparison, Comet.ml's support is rated at 8.3, which, while still good, may not meet the expectations of users requiring extensive assistance.
- Users on G2 report that Azure Machine Learning provides better language support with a score of 8.9, accommodating a wider range of programming languages. Comet.ml, with a score of 8.6, may not offer the same level of flexibility, which could be a deciding factor for developers.
- Reviewers mention that Azure Machine Learning's product direction is rated at 9.1, reflecting a strong positive outlook for future updates and features. In contrast, Comet.ml's score of 8.1 suggests that users may have concerns about its long-term viability and feature enhancements.
Pricing
Entry-Level Pricing
Azure Machine Learning
No pricing availableFree Trial
Azure Machine Learning
No trial information availableComet.ml
No trial information availableRatings
Meets Requirements
8.5
81
7.9
7
Ease of Use
8.5
80
8.3
7
Ease of Setup
8.3
57
Not enough data
Ease of Admin
8.3
49
Not enough data
Quality of Support
8.6
74
8.3
6
Has the product been a good partner in doing business?
8.6
47
Not enough data
Product Direction (% positive)
9.0
80
8.1
6
Features by Category
Deployment
Not enough data
8.3
5
Not enough data
7.7
5
Not enough data
8.0
5
Not enough data
8.7
5
Not enough data
7.3
5
Deployment
Not enough data
7.3
5
Not enough data
7.7
5
Not enough data
8.3
5
Not enough data
7.7
5
Not enough data
7.7
5
Management
Not enough data
8.0
5
Not enough data
8.7
5
Not enough data
7.3
5
Not enough data
8.0
5
Operations
Not enough data
8.0
5
Not enough data
7.0
5
Not enough data
7.7
5
Management
Not enough data
7.7
5
Not enough data
8.0
5
Not enough data
6.7
5
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
8.6
22
Not enough data
Model Development
8.6
51
Not enough data
8.9
54
Not enough data
8.3
53
Not enough data
8.7
52
Not enough data
Model Development
8.4
21
Not enough data
Machine/Deep Learning Services
8.1
45
Not enough data
7.9
45
Not enough data
7.8
38
Not enough data
8.2
42
Not enough data
Machine/Deep Learning Services
8.7
21
Not enough data
8.5
21
Not enough data
Deployment
8.8
50
Not enough data
8.7
51
Not enough data
8.9
51
Not enough data
Generative AI
8.5
10
Not enough data
8.2
10
Not enough data
7.5
10
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Azure Machine Learning and Comet.ml are categorized as MLOps Platforms
Unique Categories
Azure Machine Learning is categorized as Large Language Model Operationalization (LLMOps), Data Science and Machine Learning Platforms, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
Comet.ml has no unique categories
Reviews
Reviewers' Company Size
Azure Machine Learning
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Comet.ml
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
28.2%
Computer Software
14.1%
Management Consulting
8.2%
Education Management
5.9%
Higher Education
4.7%
Other
38.8%
Computer Software
33.3%
Telecommunications
8.3%
Research
8.3%
Information Technology and Services
8.3%
Hospital & Health Care
8.3%
Other
33.3%
Alternatives
Discussions
What is Azure Machine Learning Studio used for?
1 Comment
AR
In short, to build, deploy, and manage high-quality models faster and with confidence.Read more
Azure Machine Learning has no more discussions with answers
Comet.ml has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
