Compare IBM Watson Studio and SAS Visual Text Analytics 
At a Glance
Market Segments
Enterprise (50.9% of reviews)
Enterprise (70.2% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
IBM Watson Studio
Star Rating
(166)4.2 out of 5
Market Segments
Enterprise (50.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Watson StudioSAS Visual Text Analytics
Star Rating
(64)4.6 out of 5
Market Segments
Enterprise (70.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAS Visual Text AnalyticsIBM Watson Studio vs SAS Visual Text Analytics
When assessing the two solutions, reviewers found SAS Visual Text Analytics easier to use, set up, and administer. Reviewers also preferred doing business with SAS Visual Text Analytics overall.
- Reviewers felt that SAS Visual Text Analytics meets the needs of their business better than IBM Watson Studio.
- When comparing quality of ongoing product support, reviewers felt that SAS Visual Text Analytics is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of IBM Watson Studio over SAS Visual Text Analytics.
Pricing
Entry-Level Pricing
IBM Watson Studio
No pricing availableSAS Visual Text Analytics
No pricing availableFree Trial
IBM Watson Studio
No trial information availableSAS Visual Text Analytics
No trial information availableRatings
Meets Requirements
8.3
122
9.2
17
Ease of Use
8.0
123
9.1
19
Ease of Setup
7.6
101
7.8
12
Ease of Admin
7.8
95
8.0
9
Quality of Support
8.2
114
8.3
16
Has the product been a good partner in doing business?
8.0
94
8.1
9
Product Direction (% positive)
8.5
116
7.9
11
Features by Category
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
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
9.1
13
Not enough data
Model Development
8.6
34
Not enough data
8.9
35
Not enough data
8.5
36
Not enough data
8.4
37
Not enough data
Model Development
9.4
13
Not enough data
Machine/Deep Learning Services
8.6
28
Not enough data
8.5
35
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
8.7
31
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
7.9
8
8.3
7
8.0
9
9.7
6
8.5
9
Data
8.6
7
8.7
9
8.6
7
9.3
9
Analysis
9.7
6
8.3
9
8.1
7
8.5
9
8.1
7
8.3
9
8.3
7
8.5
8
8.8
7
8.3
9
8.1
7
8.0
9
7.9
7
8.1
9
Customization
9.0
7
8.1
9
8.1
7
8.0
9
9.2
6
8.3
8
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
Categories
Categories
Shared Categories
IBM Watson Studio and SAS Visual Text Analytics are categorized as Text Analysis
Unique Categories
IBM Watson Studio is categorized as Data Science and Machine Learning Platforms, Predictive Analytics, MLOps Platforms, and Data Preparation
SAS Visual Text Analytics has no unique categories
Reviews
Reviewers' Company Size
IBM Watson Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAS Visual Text Analytics
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
15.7%
Computer Software
13.2%
Telecommunications
8.2%
Banking
7.5%
Education Management
5.7%
Other
49.7%
Computer Software
64.9%
Hospital & Health Care
5.3%
Banking
3.5%
Marketing and Advertising
3.5%
Automotive
1.8%
Other
21.1%
Alternatives
Discussions
IBM Watson Studio has no discussions with answers
SAS Visual Text Analytics has no discussions with answers
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