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Compare Altair AI Studio and IBM Decision Optimization 
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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
Free
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 StudioIBM Decision Optimization
Star Rating
(41)4.5 out of 5
Market Segments
Enterprise (60.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Free
Browse all 2 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Altair AI Studio excels in its drag and drop interface, scoring 9.2, which makes it highly user-friendly for those who may not have extensive coding experience. In contrast, IBM Decision Optimization's drag and drop feature scored lower at 7.8, indicating a less intuitive experience.
- Reviewers mention that Altair AI Studio's data ingestion and wrangling capabilities are rated at 8.6, allowing for efficient data preparation. On the other hand, IBM Decision Optimization received a lower score of 7.2, suggesting that users may face challenges in handling data effectively.
- G2 users highlight that Altair AI Studio offers superior model training features with a score of 8.4, which is beneficial for users looking to develop robust AI models. Conversely, IBM Decision Optimization's model training scored only 7.4, indicating potential limitations in this area.
- Users on G2 appreciate Altair AI Studio's pre-built algorithms, which scored 8.5, making it easier for users to implement solutions quickly. In comparison, IBM Decision Optimization's pre-built algorithms scored 8.3, showing that while it is competitive, it may not provide the same level of convenience.
- Reviewers say that Altair AI Studio's quality of support is rated at 8.5, which is slightly lower than IBM Decision Optimization's score of 8.6. This suggests that users may find IBM's support to be marginally more responsive or helpful.
- Users report that Altair AI Studio has a strong focus on data visualization, scoring 8.0, which enhances the user experience in interpreting data insights. In contrast, IBM Decision Optimization's data visualization capabilities are rated lower, indicating that users may find it less effective for visual data analysis.
Pricing
Entry-Level Pricing
Altair AI Studio
No pricing availableIBM Decision Optimization
IBM ILOG CPLEX Optimization Studio Free edition
Free
Explore and learn optimization and constraint programming modeling with our free edition. Try free edition:
https://www.ibm.com/account/reg/signup?formid=urx-20028
- Limited to 1000 variables and 1000 constraints, but models can be edited
- Use both the OPL/IDE and API modeling/solving
Free Trial
Altair AI Studio
Free Trial is available
IBM Decision Optimization
Free Trial is available
Ratings
Meets Requirements
8.6
422
8.4
30
Ease of Use
8.8
421
8.7
30
Ease of Setup
9.0
124
8.3
14
Ease of Admin
8.4
104
8.7
14
Quality of Support
8.5
351
8.6
30
Has the product been a good partner in doing business?
8.9
93
9.2
14
Product Direction (% positive)
8.8
408
8.0
29
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
7.2
9
Model Development
7.7
33
7.9
7
9.1
57
8.3
7
8.5
54
8.3
7
8.4
52
7.4
7
Model Development
8.4
47
7.4
9
Machine/Deep Learning Services
7.7
30
7.9
7
7.9
35
7.4
7
7.5
23
6.9
7
8.4
39
6.9
7
Machine/Deep Learning Services
7.6
32
7.3
8
8.3
35
7.5
8
Deployment
8.0
38
8.3
7
8.3
37
8.1
7
8.5
34
7.6
7
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
Integration
Not enough data
Not enough data
Not enough data
Not enough data
Business Logic
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
Analytics
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
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Decision Management 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 Decision Optimization are categorized as Data Science and Machine Learning Platforms
Unique Categories
Altair AI Studio is categorized as Text Analysis, Analytics Platforms, Predictive Analytics, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
IBM Decision Optimization is categorized as Decision Management Platforms
Reviews
Reviewers' Company Size
Altair AI Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Decision Optimization
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%
Financial Services
14.3%
Education Management
11.4%
Computer Software
11.4%
Transportation/Trucking/Railroad
5.7%
Research
5.7%
Other
51.4%
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 Decision Optimization has no discussions with answers
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