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Compare Altair AI Studio and IBM Watson Studio 
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At a Glance
Market Segments
Small-Business (42.3% of reviews)
Enterprise (51.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Altair AI Studio
Star Rating
(509)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 StudioIBM Watson Studio
Star Rating
(164)4.2 out of 5
Market Segments
Enterprise (51.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Watson StudioSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Altair AI Studio excels in ease of deployment with a score of 9.8, making it particularly user-friendly for small businesses. In contrast, IBM Watson Studio, while still strong, has a slightly lower score of 9.5, which some users feel may require more technical expertise to set up effectively.
- Reviewers mention that Altair AI Studio offers superior data connectivity with a score of 9.3, allowing seamless integration with various data sources. Users on G2 highlight this feature as a significant advantage over IBM Watson Studio, which has a score of 8.8 in this area, indicating some limitations in data source access.
- G2 users note that Altair AI Studio's drag-and-drop functionality is highly intuitive, scoring 9.2, which enhances the user experience for data preparation. Conversely, IBM Watson Studio's drag-and-drop feature, while functional, received a lower score of 8.8, leading some users to express a desire for a more streamlined interface.
- Reviewers mention that IBM Watson Studio shines in its machine learning services, particularly in Natural Language Processing, where it scored 8.5 compared to Altair AI Studio's 7.7. Users appreciate the advanced capabilities in this area, making it a preferred choice for projects focused on language-based AI.
- Users say that Altair AI Studio's model training capabilities are robust, with a score of 8.4, but IBM Watson Studio edges ahead with a score of 9.0, indicating a more comprehensive suite of tools for model development. Reviewers highlight the pre-built algorithms in Watson Studio as a key feature that enhances productivity.
- Reviewers mention that Altair AI Studio has a strong focus on small business needs, reflected in its largest market segment, while IBM Watson Studio is more tailored for enterprise solutions, which some users feel may not cater as effectively to smaller organizations' requirements.
Pricing
Entry-Level Pricing
Altair AI Studio
No pricing availableIBM Watson Studio
No pricing availableFree Trial
Altair AI Studio
Free Trial is available
IBM Watson Studio
No trial information availableRatings
Meets Requirements
8.6
422
8.3
121
Ease of Use
8.8
421
8.0
122
Ease of Setup
9.0
124
7.6
100
Ease of Admin
8.4
104
7.8
95
Quality of Support
8.5
351
8.2
113
Has the product been a good partner in doing business?
8.9
93
8.0
94
Product Direction (% positive)
8.8
408
8.5
115
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
Data Source Access
Not enough data
9.0
13
Not enough data
9.3
12
Not enough data
9.2
14
Data Interaction
Not enough data
9.0
14
Not enough data
9.2
12
Not enough data
9.4
12
Not enough data
9.1
13
Not enough data
9.2
12
Not enough data
9.2
13
Not enough data
9.1
13
Not enough data
9.6
12
Data Exporting
Not enough data
9.4
12
Not enough data
9.2
12
Not enough data
9.2
12
Generative AI
Not enough data
Not enough data
Deployment
Not enough data
8.8
8
Not enough data
9.2
8
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
8.8
8
Deployment
Not enough data
9.0
8
Not enough data
8.8
8
Not enough data
8.8
8
Not enough data
9.4
8
Not enough data
9.2
8
Management
Not enough data
9.3
7
Not enough data
9.6
8
Not enough data
9.0
7
Not enough data
9.0
8
Operations
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
9.3
7
Management
Not enough data
9.5
7
Not enough data
9.4
8
Not enough data
8.8
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
8.5
52
9.0
12
Model Development
7.7
33
8.5
33
9.1
57
8.8
34
8.5
54
8.5
35
8.4
52
8.3
36
Model Development
8.4
47
9.4
13
Machine/Deep Learning Services
7.7
30
8.5
27
7.9
35
8.5
34
7.5
23
Feature Not Available
8.4
39
8.6
28
Machine/Deep Learning Services
7.6
32
8.9
12
8.3
35
9.0
12
Deployment
8.0
38
8.5
32
8.3
37
8.6
33
8.5
34
8.6
30
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
8.6
7
7.7
5
8.3
7
8.3
5
9.7
6
Data
8.0
5
8.6
7
8.3
5
8.6
7
Analysis
8.3
5
9.7
6
7.3
5
8.1
7
7.3
5
8.1
7
7.0
5
8.3
7
7.0
5
8.8
7
7.0
5
8.1
7
6.0
5
7.9
7
Customization
8.3
5
9.0
7
8.7
5
8.1
7
8.0
5
9.2
6
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
8.0
14
8.9
249
8.4
15
8.6
266
8.1
15
Data Analysis
8.8
283
8.7
15
8.6
269
9.0
14
Decision Making
8.9
275
8.6
14
8.0
251
8.6
15
7.9
254
8.3
13
8.2
226
8.7
14
Generative AI
7.2
6
9.3
5
6.9
6
8.3
5
Categories
Categories
Shared Categories
Altair AI Studio and IBM Watson Studio are categorized as Text Analysis, Data Science and Machine Learning Platforms, and Predictive Analytics
Unique Categories
Altair AI Studio is categorized as Analytics Platforms, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
IBM Watson Studio is categorized as MLOps Platforms and Data Preparation
Reviews
Reviewers' Company Size
Altair AI Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Watson Studio
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%
Information Technology and Services
15.8%
Computer Software
13.3%
Telecommunications
8.2%
Banking
7.6%
Education Management
5.7%
Other
49.4%
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
IBM Watson Studio has no discussions with answers
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