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Compare MLlib and Mahout 
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At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Mid-Market (38.5% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
MLlib
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 MLlibMahout
Star Rating
(13)4.2 out of 5
Market Segments
Mid-Market (38.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about MahoutSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Mahout excels in its quality of support, with a score of 8.8, which reviewers mention as a significant advantage when troubleshooting and seeking assistance. In contrast, MLlib's support quality is rated lower at 7.3, leading some users to feel less supported during their implementation.
- Reviewers mention that MLlib offers a more user-friendly experience, reflected in its ease of use score of 8.8, compared to Mahout's score of 7.1. Users on G2 appreciate MLlib's intuitive interface, which they find simplifies the machine learning process.
- G2 users highlight Mahout's strong performance in product direction, scoring 8.9, indicating that users feel confident in the product's future development. Conversely, MLlib's score of 7.5 suggests that some users are less optimistic about its ongoing enhancements.
- Users say that Mahout's ease of setup, rated at 7.6, is slightly behind MLlib's 8.7, which reviewers mention as a key factor for teams looking to quickly implement machine learning solutions without extensive configuration.
- Reviewers mention that both products cater well to mid-market segments, but MLlib has a higher percentage of reviews from this demographic at 50.0%, suggesting it may be more tailored to the needs of mid-sized businesses compared to Mahout's 38.5%.
- Users report that Mahout's training data capabilities are robust, but MLlib shines with its advanced algorithms, which reviewers say provide more actionable insights and better performance in complex machine learning tasks.
Pricing
Entry-Level Pricing
MLlib
No pricing availableMahout
No pricing availableFree Trial
MLlib
No trial information availableMahout
No trial information availableRatings
Meets Requirements
8.5
14
8.3
11
Ease of Use
8.8
14
7.1
11
Ease of Setup
8.7
9
7.6
9
Ease of Admin
7.9
7
7.6
9
Quality of Support
7.3
10
8.8
8
Has the product been a good partner in doing business?
7.6
7
8.6
6
Product Direction (% positive)
7.5
14
8.9
11
Features by Category
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
Categories
Categories
Shared Categories
MLlib and Mahout are categorized as Machine Learning
Unique Categories
MLlib has no unique categories
Mahout has no unique categories
Reviews
Reviewers' Company Size
MLlib
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Mahout
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
Financial Services
21.4%
Computer Software
21.4%
Telecommunications
14.3%
Information Technology and Services
14.3%
Wireless
7.1%
Other
21.4%
Computer Software
23.1%
Transportation/Trucking/Railroad
7.7%
Telecommunications
7.7%
Semiconductors
7.7%
Real Estate
7.7%
Other
46.2%
Alternatives
Discussions
MLlib has no discussions with answers
Mahout has no discussions with answers
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