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Compare BigML and MLlib 
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At a Glance
Market Segments
Small-Business (87.5% of reviews)
Mid-Market (50.0% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
$30 per month
No pricing available
BigML
Star Rating
(24)4.7 out of 5
Market Segments
Small-Business (87.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
$30 per month
Browse all 3 pricing plansMLlib
Star Rating
(14)4.1 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about MLlibBigML vs MLlib
When assessing the two solutions, reviewers found BigML easier to use, set up, and administer. Reviewers also preferred doing business with BigML overall.
- Reviewers felt that BigML meets the needs of their business better than MLlib.
- When comparing quality of ongoing product support, reviewers felt that BigML is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of BigML over MLlib.
Pricing
Entry-Level Pricing
BigML
STANDARD
$30
per month
- UNLIMITED TASKS
- MAX. TASK SIZE: 64 MB
- MAX. PARALLEL TASKS: 2
MLlib
No pricing availableFree Trial
BigML
No trial information availableMLlib
No trial information availableRatings
Meets Requirements
9.2
24
8.5
14
Ease of Use
9.0
24
8.8
14
Ease of Setup
9.2
22
8.7
9
Ease of Admin
9.3
22
7.9
7
Quality of Support
9.5
22
7.3
10
Has the product been a good partner in doing business?
9.1
22
7.6
7
Product Direction (% positive)
9.5
24
7.5
14
Features by Category
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
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
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
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
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
Statistical Tool
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Decision Making
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
Categories
Categories
Shared Categories
BigML and MLlib share no categories
Unique Categories
BigML is categorized as Data Science and Machine Learning Platforms, Predictive Analytics, and Low-Code Machine Learning Platforms
MLlib is categorized as Machine Learning
Reviews
Reviewers' Company Size
BigML
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
MLlib
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
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%
Financial Services
21.4%
Computer Software
21.4%
Telecommunications
14.3%
Information Technology and Services
14.3%
Wireless
7.1%
Other
21.4%
Alternatives
Discussions
BigML has no discussions with answers
MLlib has no discussions with answers
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