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Compare Azure Machine Learning and Qlik Predict 
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At a Glance
Market Segments
Enterprise (38.8% of reviews)
Enterprise (40.3% 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 LearningQlik Predict
Star Rating
(81)4.4 out of 5
Market Segments
Enterprise (40.3% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Qlik AutoML excels in its Data Ingestion & Wrangling capabilities, scoring 7.9, while Azure Machine Learning shines with a higher score of 8.7, indicating a more robust feature set for handling data preparation tasks.
- Reviewers mention that Qlik AutoML's Drag and Drop interface is user-friendly, scoring 8.3, but Azure Machine Learning offers an even better experience with a score of 8.7, making it easier for users to build models without extensive coding knowledge.
- G2 users highlight that Azure Machine Learning provides superior Model Training capabilities, scoring 8.8 compared to Qlik AutoML's 8.5, suggesting that Azure's platform may be more efficient for training complex models.
- Users on G2 report that Qlik AutoML has a strong focus on Pre-Built Algorithms, scoring 8.8, which is beneficial for users looking for quick solutions, while Azure Machine Learning's score of 8.2 indicates fewer pre-built options.
- Reviewers say that Azure Machine Learning's Scalability is a standout feature, with a score of 9.2, compared to Qlik AutoML's 8.5, making it a better choice for enterprises expecting to scale their machine learning operations.
- Users report that Qlik AutoML's Quality of Support is commendable with a score of 8.7, while Azure Machine Learning closely follows with 8.6, indicating both platforms provide solid customer support, but Qlik may have a slight edge in user satisfaction.
Pricing
Entry-Level Pricing
Azure Machine Learning
No pricing availableFree Trial
Azure Machine Learning
No trial information availableQlik Predict
No trial information availableRatings
Meets Requirements
8.5
81
8.5
65
Ease of Use
8.5
80
8.9
65
Ease of Setup
8.3
57
9.0
31
Ease of Admin
8.3
49
8.7
29
Quality of Support
8.6
74
8.7
59
Has the product been a good partner in doing business?
8.6
47
8.9
30
Product Direction (% positive)
9.0
80
8.7
61
Features by Category
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
7.9
26
Model Development
8.6
51
Feature Not Available
8.9
54
8.6
28
8.3
53
8.7
29
8.7
52
8.5
28
Model Development
8.4
21
8.3
27
Machine/Deep Learning Services
8.1
45
Feature Not Available
7.9
45
8.0
21
7.8
38
7.4
11
8.2
42
Feature Not Available
Machine/Deep Learning Services
8.7
21
7.8
18
8.5
21
Feature Not Available
Deployment
8.8
50
8.2
27
8.7
51
8.1
27
8.9
51
8.5
28
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
Statistical Tool
Not enough data
7.7
20
Not enough data
7.5
25
Not enough data
8.2
26
Data Analysis
Not enough data
8.0
31
Not enough data
8.4
31
Decision Making
Not enough data
8.7
29
Not enough data
8.4
30
Not enough data
8.0
29
Not enough data
7.6
26
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Azure Machine Learning and Qlik Predict are categorized as Data Science and Machine Learning Platforms and Low-Code Machine Learning Platforms
Unique Categories
Azure Machine Learning is categorized as MLOps Platforms, Large Language Model Operationalization (LLMOps), and Generative AI Infrastructure
Qlik Predict is categorized as Predictive Analytics
Reviews
Reviewers' Company Size
Azure Machine Learning
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Qlik Predict
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
9.1%
Staffing and Recruiting
5.2%
Retail
5.2%
Hospital & Health Care
5.2%
Financial Services
5.2%
Other
70.1%
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
How do I get access to Kraken?
1 Comment
Official Response from Qlik Predict
Signing Up:
To sign up a new user for Kraken, go to https://kraken.bigsquid.com and click the Sign Up tab.
- Enter an email address
- Setup a new...Read more
How do I create an S3 connection?
1 Comment
Official Response from Qlik Predict
S3 Requirements:
Setting up Kraken to connect to your S3 environment requires the generation of an Access Key and Secret Access Key prior to creating a Data...Read more
How do I create a Snowflake connection?
1 Comment
Official Response from Qlik Predict
Snowflake Requirements:
Setting up Kraken to connect to your Snowflake environment requires a user that has read and write access to the database you would...Read more
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