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Compare Altair AI Studio and IBM Watson Explorer 
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At a Glance
Market Segments
Small-Business (42.3% of reviews)
Enterprise (60.0% 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 Explorer
Star Rating
(32)3.9 out of 5
Market Segments
Enterprise (60.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Browse all 2 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM Watson Explorer excels in data ingestion and wrangling with a score of 8.6, making it a strong choice for enterprises needing robust data preparation capabilities. In contrast, Altair AI Studio, while scoring well in ease of use, does not emphasize data ingestion as strongly, which may be a drawback for users focused on large-scale data operations.
- Reviewers mention that Altair AI Studio shines in its user-friendly interface, achieving an ease of use score of 8.8 compared to IBM Watson Explorer's 7.3. This makes Altair a preferred option for small businesses or users who prioritize a straightforward setup and navigation experience.
- G2 users highlight that IBM Watson Explorer has a solid quality of support with a score of 8.4, which is crucial for enterprises that may require extensive assistance. However, Altair AI Studio slightly edges out with a score of 8.5, indicating a marginally better support experience for users needing help.
- Users on G2 report that IBM Watson Explorer's model training capabilities are robust, scoring 8.4, which is beneficial for organizations focused on developing complex AI models. In contrast, Altair AI Studio's model training score of 8.6 suggests it offers slightly better performance in this area, appealing to users who prioritize model development efficiency.
- Reviewers mention that Altair AI Studio's generative AI features, particularly in AI text generation and summarization, are rated lower (7.3 and 7.0 respectively) compared to IBM Watson Explorer's capabilities, which may disappoint users looking for advanced generative AI functionalities.
- Users say that IBM Watson Explorer's deployment options, particularly its managed service score of 8.0, provide flexibility for enterprises needing scalable solutions. Altair AI Studio, with a managed service score of 8.3, offers slightly better deployment options, which could be a deciding factor for users looking for ease in scaling their applications.
Pricing
Entry-Level Pricing
Altair AI Studio
No pricing availableIBM Watson Explorer
No pricing availableFree Trial
Altair AI Studio
Free Trial is available
IBM Watson Explorer
No trial information availableRatings
Meets Requirements
8.6
422
8.5
17
Ease of Use
8.8
421
7.3
17
Ease of Setup
9.0
124
8.7
9
Ease of Admin
8.4
104
8.1
9
Quality of Support
8.5
351
8.4
17
Has the product been a good partner in doing business?
8.9
93
8.1
9
Product Direction (% positive)
8.8
408
7.9
17
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 IBM Watson Explorer are categorized as Text Analysis
Unique Categories
Altair AI Studio is categorized as Data Science and Machine Learning Platforms, Analytics Platforms, Predictive Analytics, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
IBM Watson Explorer 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.)
IBM Watson Explorer
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
28.0%
Pharmaceuticals
8.0%
Machinery
8.0%
Hospital & Health Care
8.0%
Computer Software
8.0%
Other
40.0%
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 Explorer has no discussions with answers
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