MLlib
14
Reviews
4.1
Star rating
#49
Rank in Machine Learning
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Losing to
Key stats
—
36
Mid-Market
1
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 21.4% |
| Mid-Market | 50.0% |
| Enterprise | 28.6% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|
Satisfaction ratings
Ease of Use9.0
Ease of Setup8.9
Quality of Support7.7
Meets Requirements8.7
What reviewers say
MLlib review
4.0
“implementation of ML algorithms like regression, classification and modelling techniques can be done using the tool”
Apache Spark - MLib review
4.0
“It is useful in implementing machine learning algorithms like classification, regression and clustering. It works well while using statistical modelling techniques”
Great Software!
5.0
“The interface and the workstation is to top notch. Easy to navigate and experiment with.”