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- IBM Decision Optimization
- IBM Watson Studio
- IBM Decision Optimization-vs-IBM Watson Studio
Compare IBM Decision Optimization and IBM Watson Studio 
At a Glance
Market Segments
Enterprise (60.0% of reviews)
Enterprise (50.9% of reviews)
Entry-Level Pricing
Free
No pricing available
IBM Decision Optimization
Star Rating
(41)4.5 out of 5
Market Segments
Enterprise (60.0% of reviews)
Entry-Level Pricing
Free
Browse all 2 pricing plansIBM Watson Studio
Star Rating
(165)4.2 out of 5
Market Segments
Enterprise (50.9% of reviews)
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 IBM Decision Optimization excels in "Ease of Deployment" with a score of 9.8, making it particularly user-friendly for organizations looking to implement optimization solutions quickly. In contrast, IBM Watson Studio, while still strong, has a slightly lower score of 9.5 in this area, indicating a bit more complexity in setup.
- Reviewers mention that IBM Watson Studio shines in "Data Ingestion & Wrangling" with a score of 8.9, which is significantly higher than IBM Decision Optimization's score of 7.2. This suggests that Watson Studio offers more robust tools for preparing and managing data, a critical feature for data-driven projects.
- G2 users highlight the superior "Model Training" capabilities of IBM Watson Studio, scoring 9.0 compared to IBM Decision Optimization's 7.8. This indicates that Watson Studio provides a more comprehensive environment for developing and refining machine learning models, which is essential for data scientists.
- Users on G2 report that IBM Decision Optimization has a higher "Quality of Support" rating at 8.6, compared to Watson Studio's 8.2. This suggests that users may find more responsive and effective support when using Decision Optimization, which can be crucial for enterprise-level implementations.
- Reviewers mention that IBM Watson Studio offers better "Collaboration" features, scoring 9.4, which facilitates teamwork among data scientists and analysts. In contrast, IBM Decision Optimization's collaboration features are less emphasized, indicating a potential gap for teams that prioritize collaborative workflows.
- Users say that IBM Watson Studio's "Pre-Built Algorithms" score of 9.2 is a significant advantage, providing users with ready-to-use solutions that can accelerate project timelines. IBM Decision Optimization, with a score of 8.0 in this area, may require more custom development, which could slow down deployment for some users.
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Pricing
Entry-Level Pricing
IBM 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
IBM Watson Studio
No pricing availableFree Trial
IBM Decision Optimization
Free Trial is available
IBM Watson Studio
No trial information availableRatings
Meets Requirements
8.4
30
8.3
122
Ease of Use
8.7
30
8.0
123
Ease of Setup
8.3
14
7.6
101
Ease of Admin
8.7
14
7.8
95
Quality of Support
8.6
30
8.2
114
Has the product been a good partner in doing business?
9.2
14
8.0
94
Product Direction (% positive)
8.0
29
8.5
116
Features by Category
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
7.2
9
9.0
12
8.0
9
8.5
13
7.8
9
9.1
13
Model Development
7.9
7
8.5
33
8.3
7
8.8
34
8.3
7
8.5
35
7.4
7
8.3
36
Model Development
8.0
9
9.1
13
7.8
9
9.0
13
7.4
9
9.4
13
Machine/Deep Learning Services
7.9
7
8.5
27
7.4
7
8.5
34
6.9
7
Feature Not Available
6.9
7
8.6
28
Machine/Deep Learning Services
7.7
8
9.7
10
7.3
8
8.9
12
8.1
8
Feature Not Available
7.5
8
9.0
12
Deployment
8.3
7
8.5
32
8.1
7
8.6
33
7.6
7
8.6
30
Deployment
8.3
7
9.3
12
8.3
7
9.2
12
8.8
7
9.3
12
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
9.7
6
Data
Not enough data
8.6
7
Not enough data
8.6
7
Analysis
Not enough data
9.7
6
Not enough data
8.1
7
Not enough data
8.1
7
Not enough data
8.3
7
Not enough data
8.8
7
Not enough data
8.1
7
Not enough data
7.9
7
Customization
Not enough data
9.0
7
Not enough data
8.1
7
Not enough data
9.2
6
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
8.0
14
Not enough data
8.4
15
Not enough data
8.1
15
Data Analysis
Not enough data
8.7
15
Not enough data
9.0
14
Decision Making
Not enough data
8.6
14
Not enough data
8.6
15
Not enough data
8.3
13
Not enough data
8.7
14
Generative AI
Not enough data
9.3
5
Not enough data
8.3
5
Categories
Categories
Shared Categories
IBM Decision Optimization and IBM Watson Studio are categorized as Data Science and Machine Learning Platforms
Unique Categories
IBM Decision Optimization is categorized as Decision Management Platforms
IBM Watson Studio is categorized as Text Analysis, Predictive Analytics, MLOps Platforms, and Data Preparation
Reviews
Reviewers' Company Size
IBM Decision Optimization
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
Financial Services
14.3%
Education Management
11.4%
Computer Software
11.4%
Transportation/Trucking/Railroad
5.7%
Research
5.7%
Other
51.4%
Information Technology and Services
16.4%
Computer Software
13.2%
Telecommunications
8.2%
Banking
7.5%
Education Management
5.7%
Other
49.1%
Most Helpful Reviews
IBM Decision Optimization
Most Helpful Favorable Review
Deepak R.
Verified User in Financial Services
The best thing I like about IBM Decision Optimization is its capability to provide prescriptive analytics.
Most Helpful Critical Review
Verified User in Banking
Is hard to follow the results of the Decisions, as well, there is no control of them and if in some point a decision is allowing to pass to many results there is no an alarm or control.
IBM Watson Studio
Most Helpful Favorable Review
Sairam R.
Verified User in E-Learning
I am a fan of the extensive APIs that Watson STT provides for transcription. We have also used them heavily for training the language models. The APIs allow us to connect Watson to our Video cloud services - and make the process seamless. We have...
Most Helpful Critical Review
Verified User in Biotechnology
Automated interpretation is vastly inferior to analysis done by humans
Deepak R.
Verified User in Financial Services
The best thing I like about IBM Decision Optimization is its capability to provide prescriptive analytics.
Sairam R.
Verified User in E-Learning
I am a fan of the extensive APIs that Watson STT provides for transcription. We have also used them heavily for training the language models. The APIs allow us to connect Watson to our Video cloud services - and make the process seamless. We have...
Verified User in Banking
Is hard to follow the results of the Decisions, as well, there is no control of them and if in some point a decision is allowing to pass to many results there is no an alarm or control.
Verified User in Biotechnology
Automated interpretation is vastly inferior to analysis done by humans
Alternatives
Discussions
IBM Decision Optimization has no discussions with answers
IBM Watson Studio has no discussions with answers
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