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Compare IBM Watson Studio and TensorFlow 
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At a Glance
Market Segments
Enterprise (51.3% of reviews)
Small-Business (50.4% 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)
Entry-Level Pricing
No pricing available
Learn more about IBM Watson StudioTensorFlow
Star Rating
(134)4.5 out of 5
Market Segments
Small-Business (50.4% of reviews)
Entry-Level Pricing
No pricing available
Learn more about TensorFlowSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that TensorFlow excels in "Model Training" with a score of 9.3, indicating a robust framework for developing and training machine learning models. In contrast, IBM Watson Studio has a lower score of 8.3 in this area, suggesting that while it is capable, it may not be as efficient or user-friendly for model training.
- Reviewers mention that TensorFlow offers superior "Framework Flexibility" with a score of 9.5, allowing users to work with various frameworks seamlessly. IBM Watson Studio, while still flexible, scores 8.8, which may limit users who require extensive framework options.
- G2 users highlight TensorFlow's "Data Source Access" with a high score of 9.3 for "Ease of Data Connectivity," making it easier to connect to various data sources. In comparison, IBM Watson Studio, while competent, does not match this level of connectivity, which could hinder users needing diverse data integration.
- Users on G2 report that IBM Watson Studio shines in "Drag and Drop" functionality, scoring 9.2, which enhances user experience for those who prefer a visual interface. TensorFlow, however, scores lower at 7.8, indicating that its interface may not be as intuitive for users who favor drag-and-drop features.
- Reviewers mention that TensorFlow's "Scalability" is rated at 9.0, making it a strong choice for users looking to scale their applications effectively. IBM Watson Studio, with a score of 8.6, may not provide the same level of scalability, which could be a concern for businesses anticipating growth.
- Users say that IBM Watson Studio's "Pre-Built Algorithms" score equally at 9.2, making it a solid option for users who want ready-to-use solutions. TensorFlow also performs well in this area with a score of 8.6, but it may require more customization, which could be a drawback for those seeking quick implementations.
Pricing
Entry-Level Pricing
IBM Watson Studio
No pricing availableTensorFlow
No pricing availableFree Trial
IBM Watson Studio
No trial information availableTensorFlow
No trial information availableRatings
Meets Requirements
8.3
121
9.2
117
Ease of Use
8.0
122
8.0
120
Ease of Setup
7.6
100
8.3
98
Ease of Admin
7.8
95
7.9
39
Quality of Support
8.2
113
8.7
104
Has the product been a good partner in doing business?
8.0
94
8.3
36
Product Direction (% positive)
8.5
115
9.3
115
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
9.0
12
8.6
70
Model Development
8.5
33
8.9
96
8.8
34
7.2
82
8.5
35
8.8
96
8.3
36
9.2
95
Model Development
9.4
13
9.0
69
Machine/Deep Learning Services
8.5
27
9.1
93
8.5
34
9.0
88
Feature Not Available
8.8
86
8.6
28
9.4
95
Machine/Deep Learning Services
8.9
12
8.7
64
9.0
12
9.2
67
Deployment
8.5
32
8.5
80
8.6
33
8.7
89
8.6
30
9.0
89
Generative AI
Not enough data
8.0
11
Not enough data
7.7
11
Not enough data
8.0
11
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
7.3
5
Not enough data
7.3
5
Not enough data
8.0
5
Not enough data
8.7
5
Not enough data
8.3
5
Not enough data
7.0
5
Not enough data
7.7
5
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
Categories
Categories
Shared Categories
IBM Watson Studio and TensorFlow are categorized as Data Science and Machine Learning Platforms
Unique Categories
IBM Watson Studio is categorized as Text Analysis, Predictive Analytics, MLOps Platforms, and Data Preparation
TensorFlow 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.)
TensorFlow
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%
Computer Software
27.9%
Information Technology and Services
20.2%
Research
7.8%
Computer & Network Security
4.7%
Education Management
3.1%
Other
36.4%
Alternatives
Discussions
IBM Watson Studio has no discussions with answers
What is TensorFlow and why it is used?
2 Comments
PS
TensorFlow is an open-source library that lets you generate various models AI/ML/DL models.Read more
TensorFlow has no more discussions with answers
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