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Compare IBM Watson Studio and Minitab Connect 
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At a Glance
Market Segments
Enterprise (51.3% of reviews)
Enterprise (53.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
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 StudioMinitab Connect
Star Rating
(28)4.5 out of 5
Market Segments
Enterprise (53.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Minitab ConnectIBM Watson Studio vs Minitab Connect
When assessing the two solutions, reviewers found Minitab Connect easier to use, set up, and administer. Reviewers also preferred doing business with Minitab Connect overall.
- Reviewers felt that Minitab Connect meets the needs of their business better than IBM Watson Studio.
- When comparing quality of ongoing product support, reviewers felt that Minitab Connect is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Minitab Connect over IBM Watson Studio.
Pricing
Entry-Level Pricing
IBM Watson Studio
No pricing availableMinitab Connect
No pricing availableFree Trial
IBM Watson Studio
No trial information availableMinitab Connect
Free Trial is available
Ratings
Meets Requirements
8.3
121
8.9
25
Ease of Use
8.0
122
8.9
25
Ease of Setup
7.6
100
9.0
12
Ease of Admin
7.8
95
9.2
8
Quality of Support
8.2
113
8.8
24
Has the product been a good partner in doing business?
8.0
94
9.2
8
Product Direction (% positive)
8.5
115
9.5
25
Features by Category
Reports
Not enough data
8.4
15
Not enough data
8.6
15
Not enough data
8.7
15
Not enough data
8.3
15
Not enough data
8.8
15
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
8.4
15
Not enough data
8.6
15
Not enough data
8.7
15
Not enough data
8.3
15
Not enough data
8.8
15
Reports
Not enough data
9.0
16
Not enough data
8.8
15
Not enough data
9.0
16
Generative AI
Not enough data
9.0
5
Not enough data
8.7
5
Visualization
Not enough data
9.1
16
Not enough data
9.1
16
Not enough data
9.0
16
Not enough data
9.1
16
Data Updates
Not enough data
8.4
15
Not enough data
8.9
16
Collaboration
Not enough data
8.9
16
Not enough data
8.8
16
Not enough data
8.6
16
Data Updates
Not enough data
8.7
14
Not enough data
8.3
14
Not enough data
8.3
15
Data Source Access
9.0
13
8.2
10
9.3
12
8.0
10
9.2
14
8.3
10
Data Interaction
9.0
14
8.0
10
9.2
12
8.0
10
9.4
12
Feature Not Available
9.1
13
8.3
10
9.2
12
8.0
10
9.2
13
8.5
10
9.1
13
8.5
10
9.6
12
8.2
10
Data Exporting
9.4
12
7.7
10
9.2
12
7.7
10
9.2
12
8.7
10
Generative AI
Not enough data
Not enough data
Functionality
Not enough data
8.8
8
Not enough data
7.9
8
Not enough data
8.3
8
Not enough data
8.5
8
Not enough data
8.1
8
Not enough data
7.9
8
Diverse Extraction Points
Not enough data
8.8
8
Administration
Not enough data
8.3
13
Not enough data
7.8
13
Not enough data
8.7
13
Not enough data
8.8
13
Management
Not enough data
8.1
13
Not enough data
8.5
13
Not enough data
8.8
13
Not enough data
8.6
13
Not enough data
8.8
13
Compliance
Not enough data
8.6
13
Not enough data
Feature Not Available
Not enough data
8.2
13
Not enough data
8.5
13
Security
Not enough data
8.6
13
Not enough data
8.8
12
Not enough data
8.5
12
Data Quality
Not enough data
9.2
13
Not enough data
8.7
13
Not enough data
9.0
13
Maintainence
Not enough data
8.3
13
Not enough data
8.8
13
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Governance
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
Data Management
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
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Manufacturing Intelligence
Not enough data
Not enough data
Management
Not enough data
8.5
11
Not enough data
8.0
11
Functionality
Not enough data
8.3
11
Not enough data
9.1
11
Not enough data
8.5
10
Not enough data
8.8
11
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
Data Sources
Not enough data
8.1
7
Not enough data
7.4
7
Not enough data
8.1
7
Analytics
Not enough data
8.3
7
Not enough data
7.6
7
Not enough data
8.1
7
Not enough data
8.8
7
Metrics
Not enough data
7.9
7
Not enough data
8.8
7
Not enough data
8.6
7
Not enough data
8.1
6
Data Management
Not enough data
8.5
8
Not enough data
8.3
8
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
8.8
8
Not enough data
8.3
8
Integration
Not enough data
8.8
8
Not enough data
8.1
8
Not enough data
7.7
8
Deployment
Not enough data
9.0
8
Not enough data
8.1
8
Performance
Not enough data
7.1
8
Security
Not enough data
9.2
8
Not enough data
9.4
8
Generative AI
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
Not enough data
8.4
15
Not enough data
8.1
15
Not enough data
Data Analysis
8.7
15
Not enough data
9.0
14
Not enough data
Decision Making
8.6
14
Not enough data
8.6
15
Not enough data
8.3
13
Not enough data
8.7
14
Not enough data
Generative AI
9.3
5
Not enough data
8.3
5
Not enough data
Marketing Operations
Not enough data
8.6
6
Not enough data
8.6
7
Not enough data
9.8
7
Not enough data
7.5
6
Not enough data
8.3
6
Not enough data
7.8
6
Campaign Activity
Not enough data
7.9
7
Not enough data
8.8
7
Not enough data
7.9
7
Not enough data
8.3
6
Not enough data
8.1
7
Not enough data
9.0
7
Agentic AI - Marketing Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
IBM Watson Studio and Minitab Connect are categorized as Data Preparation
Unique Categories
IBM Watson Studio is categorized as Text Analysis, Data Science and Machine Learning Platforms, Predictive Analytics, and MLOps Platforms
Minitab Connect is categorized as IoT Analytics Platforms, Data Governance, Data Extraction, Big Data Integration Platforms, ETL Tools, Marketing Analytics, Data Visualization, Data Warehouse, and Manufacturing Intelligence
Reviews
Reviewers' Company Size
IBM Watson Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Minitab Connect
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%
Information Technology and Services
21.4%
Market Research
14.3%
Manufacturing
7.1%
Mechanical or Industrial Engineering
7.1%
Telecommunications
3.6%
Other
46.4%
Alternatives
Discussions
IBM Watson Studio has no discussions with answers
Minitab Connect has no discussions with answers
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