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Compare IBM Watson Studio and Thematic

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At a Glance
IBM Watson Studio
IBM Watson Studio
Star Rating
(164)4.2 out of 5
Market Segments
Enterprise (51.3% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Watson Studio
Thematic
Thematic
Star Rating
(41)4.8 out of 5
Market Segments
Enterprise (50.0% of reviews)
Information
Pros & Cons
Entry-Level Pricing
$25,000.00 Per Year
Browse all 2 pricing plans
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that IBM Watson Studio excels in its Data Governance capabilities, scoring 9.5, which allows for robust management of data policies and compliance. In contrast, Thematic, while strong in Feedback Analysis with a score of 9.3, does not offer the same level of governance features, which may be crucial for enterprises handling sensitive data.
  • Reviewers mention that IBM Watson Studio's Model Development features, particularly its Pre-Built Algorithms scoring 9.2, provide a significant advantage for users looking to quickly implement machine learning models. Thematic, however, focuses more on Feedback Collection and Survey Management, which may not meet the needs of users seeking advanced model training capabilities.
  • G2 users highlight the ease of deployment in IBM Watson Studio, with a score of 9.8 for Ease of Deployment, making it a preferred choice for teams looking to integrate machine learning solutions swiftly. In comparison, Thematic's deployment features, while solid, do not match this level of user satisfaction, scoring lower in Ease of Deployment at 9.5.
  • Users on G2 report that Thematic shines in Generative AI capabilities, particularly in AI Text Generation with a score of 9.3, making it a strong contender for businesses focused on content creation and customer feedback analysis. IBM Watson Studio, while competent, does not emphasize generative AI to the same extent, which may limit its appeal for users in that niche.
  • Reviewers mention that IBM Watson Studio's Data Quality and Cleansing features, scoring 9.2, are essential for ensuring accurate data analysis, which is a critical aspect for data-driven decision-making. Thematic, while offering good Data Visualization tools, scores lower in this area, which could impact users who prioritize data integrity.
  • Users say that Thematic's Sentiment Analysis capabilities, scoring 9.0, provide valuable insights into customer feedback, making it a preferred choice for businesses focused on customer experience. Conversely, IBM Watson Studio, while offering comprehensive analytics, does not specialize in sentiment analysis to the same degree, which may be a deciding factor for users in customer-centric industries.
Pricing
Entry-Level Pricing
IBM Watson Studio
No pricing available
Thematic
Foundation
$25,000.00
Per Year
Browse all 2 pricing plans
Free Trial
IBM Watson Studio
No trial information available
Thematic
Free Trial is available
Ratings
Meets Requirements
8.3
121
9.3
26
Ease of Use
8.0
122
9.4
28
Ease of Setup
7.6
100
8.9
21
Ease of Admin
7.8
95
8.9
17
Quality of Support
8.2
113
9.8
27
Has the product been a good partner in doing business?
8.0
94
9.9
17
Product Direction (% positive)
8.5
115
8.9
22
Features by Category
9.2
14
Not enough data
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
9.1
10
Not enough data
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
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
8.7
41
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
Not enough data
9.1
6
Feedback Management
Not enough data
Not enough data
Not enough data
9.0
5
Not enough data
9.7
5
Feedback Analysis
Not enough data
9.4
6
Not enough data
8.6
6
Not enough data
8.7
5
Feedback Sources
Not enough data
Not enough data
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
8.6
7
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
Feature Not Available
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Enterprise Feedback ManagementHide 12 FeaturesShow 12 Features
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Survey 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
Process 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
System Management
Not enough data
Not enough data
Not enough data
Not enough data
8.5
18
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
Categories
Categories
Shared Categories
IBM Watson Studio
IBM Watson Studio
Thematic
Thematic
IBM Watson Studio and Thematic are categorized as Text Analysis
Unique Categories
Thematic
Thematic is categorized as Enterprise Feedback Management and Feedback Analytics
Reviews
Reviewers' Company Size
IBM Watson Studio
IBM Watson Studio
Small-Business(50 or fewer emp.)
29.1%
Mid-Market(51-1000 emp.)
19.6%
Enterprise(> 1000 emp.)
51.3%
Thematic
Thematic
Small-Business(50 or fewer emp.)
17.5%
Mid-Market(51-1000 emp.)
32.5%
Enterprise(> 1000 emp.)
50.0%
Reviewers' Industry
IBM Watson Studio
IBM Watson Studio
Information Technology and Services
15.8%
Computer Software
13.3%
Telecommunications
8.2%
Banking
7.6%
Education Management
5.7%
Other
49.4%
Thematic
Thematic
Retail
10.0%
Telecommunications
7.5%
Financial Services
7.5%
Computer Software
7.5%
Real Estate
5.0%
Other
62.5%
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Thematic
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Discussions
IBM Watson Studio
IBM Watson Studio Discussions
Monty the Mongoose crying
IBM Watson Studio has no discussions with answers
Thematic
Thematic Discussions
What is the programming language used to create this, purely out of interest. It’s very clever !
1 Comment
Alyona M.
AM
Thanks Tim! We use a combination of Python and Rust for speed! Many of the algorithms we use have been written in-house based on many years of research....Read more
Monty the Mongoose crying
Thematic has no more discussions with answers