Introducing G2.ai, the future of software buying.Try now
Compare Datature and IBM Watson Studio 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Enterpret
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Alteryx
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
ILUM
Visit Website
At a Glance
Market Segments
Small-Business (63.2% of reviews)
Enterprise (51.3% of reviews)
Entry-Level Pricing
Free Trial Per Year
No pricing available
Datature
Star Rating
(38)4.9 out of 5
Market Segments
Small-Business (63.2% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial Per Year
Learn more about DatatureIBM 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 StudioSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM Watson Studio excels in its breadth of data sources, scoring 8.9, which allows for extensive data integration, while Datature, although strong, has a slightly lower score in this area, indicating that Watson Studio may offer more versatility in data handling.
- Reviewers mention that Datature shines in ease of use with a score of 9.6, making it particularly appealing for small businesses looking for a user-friendly interface, whereas IBM Watson Studio, with a score of 8.0, may require a steeper learning curve for new users.
- G2 users highlight the superior quality of support provided by Datature, scoring 9.9, which suggests that users may find more responsive and helpful customer service compared to IBM Watson Studio's score of 8.2.
- Users on G2 report that Datature's model training capabilities are impressive, with a score of 9.0, particularly in feature engineering, while IBM Watson Studio, with a score of 8.3 in model training, may not offer the same level of depth in this critical area.
- Reviewers mention that IBM Watson Studio's deployment flexibility is noteworthy, scoring 9.8 for ease of deployment, which may appeal to enterprises needing robust deployment options, while Datature, although competitive, scores slightly lower in this aspect.
- Users say that Datature's automation features, particularly in machine learning pre-labeling, score a remarkable 9.7, indicating a strong capability in streamlining workflows, whereas IBM Watson Studio's automation features may not be as advanced, reflecting a potential gap in efficiency for users focused on automation.
Pricing
Entry-Level Pricing
Datature
Team / Professional Plan
Free Trial
Per Year
- Team Collaboration Features
- Unlimited Management API
- Unlimited Inference API
IBM Watson Studio
No pricing availableFree Trial
Datature
Free Trial is available
IBM Watson Studio
No trial information availableRatings
Meets Requirements
9.4
34
8.3
121
Ease of Use
9.5
34
8.0
122
Ease of Setup
9.3
12
7.6
100
Ease of Admin
Not enough data
7.8
95
Quality of Support
9.7
34
8.2
113
Has the product been a good partner in doing business?
Not enough data
8.0
94
Product Direction (% positive)
10.0
34
8.5
115
Features by Category
Data Source Access
Not enough data
9.0
13
Not enough data
9.3
12
Not enough data
9.2
14
Data Interaction
Not enough data
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
Data Exporting
Not enough data
9.4
12
Not enough data
9.2
12
Not enough data
9.2
12
Generative AI
Not enough data
Not enough data
Deployment
8.2
19
8.8
8
8.8
21
9.2
8
9.3
20
9.0
8
9.6
22
9.4
8
9.5
22
8.8
8
Deployment
Feature Not Available
9.0
8
8.9
22
8.8
8
9.5
21
8.8
8
9.5
21
9.4
8
9.3
23
9.2
8
Management
8.8
19
9.3
7
9.2
20
9.6
8
8.9
18
9.0
7
9.2
21
9.0
8
Operations
9.3
23
9.0
8
8.8
20
9.0
8
9.2
21
9.3
7
Management
8.9
18
9.5
7
9.3
19
9.4
8
8.6
17
8.8
7
Generative AI
4.0
13
Not enough data
4.0
13
Not enough data
System
Not enough data
9.0
12
Model Development
Not enough data
8.5
33
Not enough data
8.8
34
Not enough data
8.5
35
Not enough data
8.3
36
Model Development
Not enough data
9.4
13
Machine/Deep Learning Services
Not enough data
8.5
27
Not enough data
8.5
34
Not enough data
Feature Not Available
Not enough data
8.6
28
Machine/Deep Learning Services
Not enough data
8.9
12
Not enough data
9.0
12
Deployment
Not enough data
8.5
32
Not enough data
8.6
33
Not enough data
8.6
30
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
Quality
9.5
21
Not enough data
9.2
23
Not enough data
9.0
22
Not enough data
9.5
22
Not enough data
Automation
9.1
22
Not enough data
9.2
19
Not enough data
Image Annotation
9.3
23
Not enough data
9.9
23
Not enough data
8.3
20
Not enough data
8.9
23
Not enough data
Natural Language Annotation
5.8
21
Not enough data
4.5
17
Not enough data
5.8
19
Not enough data
Speech Annotation
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Setup
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
9.7
6
Data
Not enough data
8.6
7
Not enough data
8.6
7
Analysis
Not enough data
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
Customization
Not enough data
9.0
7
Not enough data
8.1
7
Not enough data
9.2
6
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
8.0
14
Not enough data
8.4
15
Not enough data
8.1
15
Data Analysis
Not enough data
8.7
15
Not enough data
9.0
14
Decision Making
Not enough data
8.6
14
Not enough data
8.6
15
Not enough data
8.3
13
Not enough data
8.7
14
Generative AI
Not enough data
9.3
5
Not enough data
8.3
5
Categories
Categories
Shared Categories
Datature and IBM Watson Studio are categorized as MLOps Platforms
Unique Categories
Datature is categorized as Data Labeling
IBM Watson Studio is categorized as Text Analysis, Data Science and Machine Learning Platforms, Predictive Analytics, and Data Preparation
Reviews
Reviewers' Company Size
Datature
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Watson Studio
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
Computer Software
21.1%
Research
15.8%
Higher Education
10.5%
Electrical/Electronic Manufacturing
7.9%
Industrial Automation
5.3%
Other
39.5%
Information Technology and Services
15.8%
Computer Software
13.3%
Telecommunications
8.2%
Banking
7.6%
Education Management
5.7%
Other
49.4%
Alternatives
Discussions
Datature has no discussions with answers
IBM Watson Studio has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
