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Compare BigML and IBM Watson Studio

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At a Glance
BigML
BigML
Star Rating
(24)4.7 out of 5
Market Segments
Small-Business (87.5% of reviews)
Information
Pros & Cons
Not enough data
Entry-Level Pricing
$30 per month
Browse all 3 pricing plans
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
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that BigML excels in ease of use with a score of 9.0, making it particularly favorable for small businesses. In contrast, IBM Watson Studio has a lower ease of use score of 8.0, which some reviewers mention can lead to a steeper learning curve for new users.
  • Reviewers mention that BigML's quality of support is outstanding, scoring 9.5, which users appreciate for timely assistance. Conversely, IBM Watson Studio's support quality, rated at 8.2, has received feedback indicating that response times can be slower.
  • G2 users highlight BigML's deployment flexibility, scoring 9.8 for ease of deployment, which reviewers say allows for quick integration into existing workflows. IBM Watson Studio, while still strong, scores 9.5, with some users noting that its deployment can be more complex due to its enterprise focus.
  • Users on G2 report that BigML's data governance features are robust, with a score of 9.5, which reviewers say helps maintain data integrity and compliance. In contrast, IBM Watson Studio, while also strong in this area, scores slightly lower at 9.2, with some users mentioning that it could benefit from more intuitive governance tools.
  • Reviewers mention that BigML shines in its no-code capabilities, scoring 9.7, which users find particularly beneficial for non-technical teams. IBM Watson Studio, while offering no-code options, scores lower at 8.3, leading some users to express a desire for more user-friendly features.
  • Users say that BigML's breadth of data sources is impressive, scoring 8.9, which allows for diverse data integration. IBM Watson Studio, however, has a broader range of integrations with a score of 9.4, which users appreciate for its versatility in connecting with various data platforms.
Pricing
Entry-Level Pricing
BigML
STANDARD
$30
per month
Browse all 3 pricing plans
IBM Watson Studio
No pricing available
Free Trial
BigML
No trial information available
IBM Watson Studio
No trial information available
Ratings
Meets Requirements
9.2
24
8.3
121
Ease of Use
9.0
24
8.0
122
Ease of Setup
9.2
22
7.6
100
Ease of Admin
9.3
22
7.8
95
Quality of Support
9.5
22
8.2
113
Has the product been a good partner in doing business?
9.1
22
8.0
94
Product Direction (% positive)
9.5
24
8.5
115
Features by Category
Not enough data
9.2
14
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
Not enough data
9.1
10
Deployment
Not enough data
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
Deployment
Not enough data
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
Management
Not enough data
9.3
7
Not enough data
9.6
8
Not enough data
9.0
7
Not enough data
9.0
8
Operations
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
9.3
7
Management
Not enough data
9.5
7
Not enough data
9.4
8
Not enough data
8.8
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
8.7
41
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
Not enough data
8.6
7
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
Low-Code Machine Learning PlatformsHide 6 FeaturesShow 6 Features
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.5
18
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
BigML
BigML
IBM Watson Studio
IBM Watson Studio
BigML and IBM Watson Studio are categorized as Data Science and Machine Learning Platforms and Predictive Analytics
Unique Categories
BigML
BigML is categorized as Low-Code Machine Learning Platforms
IBM Watson Studio
IBM Watson Studio is categorized as Text Analysis, MLOps Platforms, and Data Preparation
Reviews
Reviewers' Company Size
BigML
BigML
Small-Business(50 or fewer emp.)
87.5%
Mid-Market(51-1000 emp.)
8.3%
Enterprise(> 1000 emp.)
4.2%
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%
Reviewers' Industry
BigML
BigML
Computer Software
83.3%
Management Consulting
4.2%
International Trade and Development
4.2%
Electrical/Electronic Manufacturing
4.2%
Alternative Dispute Resolution
4.2%
Other
0.0%
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%
Alternatives
BigML
BigML Alternatives
Altair AI Studio
Altair AI Studio
Add Altair AI Studio
Alteryx
Alteryx
Add Alteryx
Dataiku
Dataiku
Add Dataiku
Tableau
Tableau
Add Tableau
IBM Watson Studio
IBM Watson Studio Alternatives
Altair AI Studio
Altair AI Studio
Add Altair AI Studio
Alteryx
Alteryx
Add Alteryx
Vertex AI
Vertex AI
Add Vertex AI
Azure Machine Learning
Azure Machine Learning Studio
Add Azure Machine Learning
Discussions
BigML
BigML Discussions
Monty the Mongoose crying
BigML has no discussions with answers
IBM Watson Studio
IBM Watson Studio Discussions
Monty the Mongoose crying
IBM Watson Studio has no discussions with answers