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Compare Azure Machine Learning and Incorta 
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At a Glance
Market Segments
Enterprise (38.8% of reviews)
Enterprise (56.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
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 LearningIncorta
Star Rating
(59)4.4 out of 5
Market Segments
Enterprise (56.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about IncortaAzure Machine Learning vs Incorta
When assessing the two solutions, reviewers found Incorta easier to use, set up, and administer. Reviewers also preferred doing business with Incorta overall.
- Reviewers felt that Incorta meets the needs of their business better than Azure Machine Learning.
- When comparing quality of ongoing product support, reviewers felt that Incorta is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Azure Machine Learning over Incorta.
Pricing
Entry-Level Pricing
Azure Machine Learning
No pricing availableIncorta
No pricing availableFree Trial
Azure Machine Learning
No trial information availableIncorta
Free Trial is available
Ratings
Meets Requirements
8.5
81
8.9
34
Ease of Use
8.5
80
9.2
34
Ease of Setup
8.3
57
9.3
17
Ease of Admin
8.3
49
9.4
16
Quality of Support
8.6
74
9.0
33
Has the product been a good partner in doing business?
8.6
47
9.4
18
Product Direction (% positive)
9.0
80
8.9
31
Features by Category
Reports
Not enough data
9.3
25
Not enough data
9.2
24
Not enough data
8.9
26
Not enough data
8.8
24
Not enough data
9.2
26
Data Preparation
Not enough data
9.1
23
Not enough data
9.0
19
Data Modeling and Blending
Not enough data
9.5
23
Not enough data
9.2
24
Not enough data
9.2
21
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Analytics 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
Self Service
Not enough data
9.0
26
Not enough data
8.7
25
Not enough data
9.1
24
Not enough data
8.9
24
Not enough data
Feature Not Available
Not enough data
9.0
18
Deployment & Integration - Analytics 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
Advanced Analytics
Not enough data
8.8
23
Not enough data
9.2
26
Not enough data
9.0
25
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics 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
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
8.9
22
Not enough data
8.9
21
Not enough data
8.6
20
Not enough data
8.9
19
Data Source Access
Not enough data
8.9
21
Not enough data
8.9
22
Not enough data
8.7
18
Data Interaction
Not enough data
8.6
17
Not enough data
8.9
17
Not enough data
8.9
21
Not enough data
8.6
22
Not enough data
9.4
19
Not enough data
9.2
18
Not enough data
9.2
20
Not enough data
8.7
19
Data Exporting
Not enough data
9.0
19
Not enough data
9.1
19
Not enough data
8.7
18
Generative AI
Not enough data
Not enough data
Deployment
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
Deployment
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
8.6
22
9.6
9
Model Development
8.6
51
10.0
9
8.9
54
Feature Not Available
8.3
53
9.6
9
8.7
52
9.6
9
Model Development
8.4
21
9.8
9
Machine/Deep Learning Services
8.1
45
Feature Not Available
7.9
45
Feature Not Available
7.8
38
Feature Not Available
8.2
42
Feature Not Available
Machine/Deep Learning Services
8.7
21
Feature Not Available
8.5
21
Feature Not Available
Deployment
8.8
50
9.6
9
8.7
51
10.0
9
8.9
51
9.6
9
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
Data Management
Not enough data
9.8
10
Not enough data
9.5
10
Not enough data
9.7
10
Not enough data
9.3
10
Analytics
Not enough data
9.8
10
Security
Not enough data
9.7
10
Not enough data
9.7
10
Not enough data
8.8
10
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
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 Incorta are categorized as Data Science and Machine Learning Platforms
Unique Categories
Azure Machine Learning is categorized as MLOps Platforms, Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Azure Machine Learning
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Incorta
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%
Information Technology and Services
12.7%
Computer Software
9.1%
Retail
7.3%
Electrical/Electronic Manufacturing
5.5%
Accounting
5.5%
Other
60.0%
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
Would it possible to get a count of how many other reviewers ranked Incorta and the current ranking?
1 Comment
LC
I could answer this for you. Please contact me through LinkedIn.Read more
Does anyone find it difficult finding resources to help with the implementation of the Incorta data analytic tool.
1 Comment
LC
There isn't a huge community, but you can ping me on LinkedIn for assistance. I've implemented it and know the community.Read more
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