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Compare Altair AI Studio and Google Cloud AutoML 
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At a Glance
Market Segments
Small-Business (42.3% of reviews)
Small-Business (45.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Altair AI Studio
Star Rating
(508)4.6 out of 5
Market Segments
Small-Business (42.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Altair AI StudioGoogle Cloud AutoML
Star Rating
(22)4.1 out of 5
Market Segments
Small-Business (45.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Google Cloud AutoMLSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Altair AI Studio excels in ease of setup with a score of 9.1, making it a preferred choice for those who prioritize a quick onboarding process. In contrast, Google Cloud AutoML has a lower score of 7.3, indicating a more complex setup experience.
- Reviewers mention that Altair AI Studio offers superior drag-and-drop functionality with a score of 9.2, which enhances user experience for non-technical users. Google Cloud AutoML, while functional, scores slightly lower at 9.1, suggesting it may not be as intuitive for beginners.
- G2 users highlight that Altair AI Studio's data mining capabilities are rated at 9.0, showcasing its strength in extracting valuable insights from data. Google Cloud AutoML, on the other hand, has a lower rating of 7.8 for its data mining features, indicating it may not be as robust in this area.
- Users on G2 report that Altair AI Studio's model training capabilities are rated at 8.4, which is competitive, but Google Cloud AutoML shines with a higher score of 8.6, suggesting it may offer more advanced options for model training.
- Reviewers mention that Altair AI Studio provides a better overall quality of support with a score of 8.5, which is crucial for users who may need assistance. Google Cloud AutoML's support quality is rated at 7.6, indicating potential challenges in getting timely help.
- Users say that Altair AI Studio's data visualization tools are highly rated, contributing to a better understanding of data insights, while Google Cloud AutoML's visualization features, although functional, do not receive the same level of praise, suggesting a gap in user satisfaction in this area.
Pricing
Entry-Level Pricing
Altair AI Studio
No pricing availableGoogle Cloud AutoML
No pricing availableFree Trial
Altair AI Studio
Free Trial is available
Google Cloud AutoML
No trial information availableRatings
Meets Requirements
8.6
422
8.6
14
Ease of Use
8.8
421
8.6
14
Ease of Setup
9.0
124
7.4
11
Ease of Admin
8.4
104
7.9
12
Quality of Support
8.5
351
7.5
14
Has the product been a good partner in doing business?
8.9
93
8.3
11
Product Direction (% positive)
8.8
408
8.9
11
Features by Category
Reports
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 Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
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
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
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
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
System
8.5
52
Not enough data
Model Development
7.7
33
Not enough data
9.1
57
Not enough data
8.5
54
Not enough data
8.4
52
Not enough data
Model Development
8.4
47
Not enough data
Machine/Deep Learning Services
7.7
30
Not enough data
7.9
35
Not enough data
7.5
23
Not enough data
8.4
39
Not enough data
Machine/Deep Learning Services
7.6
32
Not enough data
8.3
35
Not enough data
Deployment
8.0
38
Not enough data
8.3
37
Not enough data
8.5
34
Not enough data
Generative AI
6.7
6
Not enough data
6.7
6
Not enough data
6.4
6
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
Setup
8.0
5
Not enough data
7.7
5
Not enough data
8.3
5
Not enough data
Data
8.0
5
Not enough data
8.3
5
Not enough data
Analysis
8.3
5
Not enough data
7.3
5
Not enough data
7.3
5
Not enough data
7.0
5
Not enough data
7.0
5
Not enough data
7.0
5
Not enough data
6.0
5
Not enough data
Customization
8.3
5
Not enough data
8.7
5
Not enough data
8.0
5
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
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
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
7.9
176
Not enough data
8.9
249
Not enough data
8.6
266
Not enough data
Data Analysis
8.8
283
Not enough data
8.6
269
Not enough data
Decision Making
8.9
275
Not enough data
8.0
251
Not enough data
7.9
254
Not enough data
8.2
226
Not enough data
Generative AI
7.2
6
Not enough data
6.9
6
Not enough data
Categories
Categories
Shared Categories
Altair AI Studio and Google Cloud AutoML are categorized as Data Science and Machine Learning Platforms and Low-Code Machine Learning Platforms
Unique Categories
Altair AI Studio is categorized as Text Analysis, Analytics Platforms, Predictive Analytics, and Generative AI Infrastructure
Google Cloud AutoML has no unique categories
Reviews
Reviewers' Company Size
Altair AI Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud AutoML
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
Higher Education
18.3%
Education Management
15.4%
Information Technology and Services
9.1%
Research
6.8%
Computer Software
6.8%
Other
43.6%
Research
13.6%
Information Technology and Services
13.6%
Computer Software
9.1%
Program Development
4.5%
Pharmaceuticals
4.5%
Other
54.5%
Alternatives
Discussions
How to predict 8 test values using 12 other test values. 500 data points available for each tests. Also what should I do to find a relation between parameters.
3 Comments
NJ
Hello Daniel,
Yes, you are right setting each one of 8 as a function of those 12 and using simple regression does solve it. I tried previously in the same...Read more
How do I deploy a process successfully designed in Rapidminer in the field?
1 Comment
II
first determine the data object that will be processed in rapidminer, the data used is not structured, and not derived from the questionnaire...Read more
What is the best tool for predictive analytics for Manufacturing Industries?
1 Comment
FZ
RapidMiner has an initial workflow for predictive maintenance.
You could start experimenting fast and then fine-tune the model.Read more
Google Cloud AutoML has no discussions with answers
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