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Compare IBM Watson Studio and Lumoa 
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At a Glance
Market Segments
Enterprise (51.3% of reviews)
Enterprise (62.2% of reviews)
Entry-Level Pricing
No pricing available
Free Trial Per Month
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 StudioLumoa
Star Rating
(37)4.4 out of 5
Market Segments
Enterprise (62.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Free Trial Per Month
Browse all 4 pricing plansSummary
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, Lumoa, while strong in other areas, only scores 8.6 in this aspect, indicating a potential gap in comprehensive data governance features.
- Reviewers mention that IBM Watson Studio's Ease of Deployment is particularly impressive, with a score of 9.8, making it user-friendly for organizations looking to implement machine learning solutions quickly. Lumoa, however, has a slightly lower score of 9.5, suggesting that while it is still effective, it may not be as seamless as Watson Studio.
- G2 users highlight the superior Model Training capabilities of Lumoa, which scored 9.0 compared to IBM Watson Studio's 8.3. Users appreciate Lumoa's intuitive interface and efficient training processes, making it a preferred choice for those focused on model development.
- Reviewers say that IBM Watson Studio shines in Data Visualization, with a score of 8.6, providing users with powerful tools to create insightful visual representations of their data. Lumoa, on the other hand, received a lower score of 7.8, indicating that its visualization features may not be as robust or user-friendly.
- Users on G2 report that Lumoa's Feedback Management features are particularly strong, with a score of 8.0, allowing for effective collection and analysis of customer feedback. In comparison, IBM Watson Studio does not have a dedicated score for this feature, suggesting it may not prioritize feedback management as much as Lumoa does.
- Reviewers mention that IBM Watson Studio's API Connectivity is highly rated at 9.1, making it easier for users to integrate with other systems and tools. Lumoa, while effective, does not have a specific score for this feature, which may indicate a less flexible integration capability.
Pricing
Entry-Level Pricing
IBM Watson Studio
No pricing availableLumoa
Lumoa Plans
Free Trial
Per Month
Unlimited users
- 1,000 Feedback responses/lifetime
- Unlimited Users
- 1 feedback source
Free Trial
IBM Watson Studio
No trial information availableLumoa
Free Trial is available
Ratings
Meets Requirements
8.3
121
8.6
23
Ease of Use
8.0
122
8.3
24
Ease of Setup
7.6
100
8.0
9
Ease of Admin
7.8
95
8.3
9
Quality of Support
8.2
113
8.8
21
Has the product been a good partner in doing business?
8.0
94
8.7
10
Product Direction (% positive)
8.5
115
10.0
25
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
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
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Customization
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
Agentic AI - Experience 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
Feedback Management
Not enough data
8.0
17
Not enough data
7.5
18
Not enough data
8.1
21
Feedback Analysis
Not enough data
8.0
18
Not enough data
8.8
20
Not enough data
8.9
19
Feedback Sources
Not enough data
7.4
16
Not enough data
7.8
19
Not enough data
6.9
17
Not enough data
7.5
17
Generative AI
Not enough data
Feature Not Available
Not enough data
8.4
18
Setup
8.6
7
7.8
12
8.3
7
7.7
11
9.7
6
8.0
11
Data
8.6
7
8.6
11
8.6
7
7.8
13
Analysis
9.7
6
7.8
13
8.1
7
7.2
10
8.1
7
7.9
11
8.3
7
8.8
11
8.8
7
8.6
12
8.1
7
8.2
13
7.9
7
7.6
11
Customization
9.0
7
7.3
11
8.1
7
7.0
11
9.2
6
6.8
11
Generative AI
Not enough data
7.7
11
Not enough data
8.6
12
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 Lumoa 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
Lumoa is categorized as Experience Management and Feedback Analytics
Reviews
Reviewers' Company Size
IBM Watson Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Lumoa
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%
Financial Services
16.2%
Telecommunications
13.5%
Transportation/Trucking/Railroad
8.1%
Consumer Goods
8.1%
Retail
5.4%
Other
48.6%
Alternatives
Discussions
IBM Watson Studio has no discussions with answers
Lumoa has no discussions with answers
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