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Compare IBM Watson Studio and JMP 
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At a Glance
Market Segments
Enterprise (51.3% of reviews)
Enterprise (42.2% of reviews)
Entry-Level Pricing
No pricing available
$1,320.00 1 Users Per Year
IBM 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 StudioJMP
Star Rating
(214)4.5 out of 5
Market Segments
Enterprise (42.2% of reviews)
Pros & Cons
Entry-Level Pricing
$1,320.00 1 Users Per Year
Free Trial is available
Browse all 2 pricing plansIBM Watson Studio vs JMP
When assessing the two solutions, reviewers found JMP easier to use, set up, and administer. Reviewers also preferred doing business with JMP overall.
- Reviewers felt that JMP meets the needs of their business better than IBM Watson Studio.
- When comparing quality of ongoing product support, reviewers felt that JMP is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of IBM Watson Studio over JMP.
Pricing
Entry-Level Pricing
IBM Watson Studio
No pricing availableJMP
JMP
$1,320.00
1 Users Per Year
JMP for Windows or Mac.
Corporate licenses available at bulk discounts.
Key features include:
- Data Acquisition and Cleanup
- Design of Experiments
- Reliability Analysis
Free Trial
IBM Watson Studio
No trial information availableJMP
Free Trial is available
Ratings
Meets Requirements
8.3
121
8.8
176
Ease of Use
8.0
122
8.3
177
Ease of Setup
7.6
100
8.6
53
Ease of Admin
7.8
95
8.6
28
Quality of Support
8.2
113
8.7
152
Has the product been a good partner in doing business?
8.0
94
8.9
29
Product Direction (% positive)
8.5
115
8.3
171
Features by Category
Reports
Not enough data
8.2
81
Not enough data
7.9
78
Not enough data
8.6
103
Not enough data
8.0
58
Not enough data
8.1
80
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
Advanced Analytics
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
Platform
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
Reports
Not enough data
8.2
81
Not enough data
7.9
78
Not enough data
8.6
103
Not enough data
8.0
58
Not enough data
8.1
80
Reports
Not enough data
8.2
54
Not enough data
8.0
48
Not enough data
8.5
52
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Visualization
Not enough data
8.9
63
Not enough data
Feature Not Available
Not enough data
8.4
56
Not enough data
8.2
53
Data Updates
Not enough data
8.1
45
Not enough data
7.9
49
Collaboration
Not enough data
7.9
49
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Data Updates
Not enough data
7.9
45
Not enough data
Feature Not Available
Not enough data
8.1
42
Data Source Access
9.0
13
Not enough data
9.3
12
Not enough data
9.2
14
Not enough data
Data Interaction
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
Not enough data
Data Exporting
9.4
12
Not enough data
9.2
12
Not enough data
9.2
12
Not enough data
Generative AI
Not enough data
Not enough data
Administration
Not enough data
8.7
92
Not enough data
8.8
95
Not enough data
8.1
77
Capabilities
Not enough data
9.0
107
Not enough data
8.7
73
Not enough data
8.2
74
Not enough data
8.0
65
Methodology
Not enough data
9.0
95
Not enough data
9.2
101
Not enough data
8.6
90
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Deployment
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
Not enough data
Deployment
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
Not enough data
Management
9.3
7
Not enough data
9.6
8
Not enough data
9.0
7
Not enough data
9.0
8
Not enough data
Operations
9.0
8
Not enough data
9.0
8
Not enough data
9.3
7
Not enough data
Management
9.5
7
Not enough data
9.4
8
Not enough data
8.8
7
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
9.0
12
Not enough data
Model Development
8.5
33
Not enough data
8.8
34
Not enough data
8.5
35
Not enough data
8.3
36
Not enough data
Model Development
9.4
13
Not enough data
Machine/Deep Learning Services
8.5
27
Not enough data
8.5
34
Not enough data
Feature Not Available
Not enough data
8.6
28
Not enough data
Machine/Deep Learning Services
8.9
12
Not enough data
9.0
12
Not enough data
Deployment
8.5
32
Not enough data
8.6
33
Not enough data
8.6
30
Not enough data
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
Setup
8.6
7
Not enough data
8.3
7
Not enough data
9.7
6
Not enough data
Data
8.6
7
Not enough data
8.6
7
Not enough data
Analysis
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
Not enough data
Customization
9.0
7
Not enough data
8.1
7
Not enough data
9.2
6
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
8.0
14
8.7
23
8.4
15
9.0
27
8.1
15
8.7
25
Data Analysis
8.7
15
9.3
28
9.0
14
9.1
29
Decision Making
8.6
14
8.8
26
8.6
15
9.4
29
8.3
13
8.5
28
8.7
14
9.1
23
Generative AI
9.3
5
Feature Not Available
8.3
5
Feature Not Available
Categories
Categories
Shared Categories
IBM Watson Studio and JMP are categorized as Predictive Analytics
Unique Categories
IBM Watson Studio is categorized as Text Analysis, Data Science and Machine Learning Platforms, MLOps Platforms, and Data Preparation
JMP is categorized as Statistical Analysis and Data Visualization
Reviews
Reviewers' Company Size
IBM Watson Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
JMP
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
Information Technology and Services
15.8%
Computer Software
13.3%
Telecommunications
8.2%
Banking
7.6%
Education Management
5.7%
Other
49.4%
Higher Education
12.6%
Information Technology and Services
9.7%
Research
9.2%
Pharmaceuticals
6.8%
Semiconductors
5.8%
Other
55.8%
Alternatives
Discussions
IBM Watson Studio has no discussions with answers
Who uses JMP?
3 Comments
FF
Statisticians, Data Scientists, Engineers, Statistics Teachers.Read more
Is there a free/trial version of JMP that i can utilize during my facilitation in a training?
1 Comment
WL
JMP has a trial version - go to JMP.com and you'll see something about a trial in the upper-right.
They also have a free course called Statistical...Read more
How can PhD Student learn uses of JMP pro for research purpose?
1 Comment
WL
They have a free course called Statistical Thinking for Industrial Problem Solving - that provides JMP - but only works with the data in the course. I'm not...Read more
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