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Compare MLlib and Weka 
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At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Enterprise (76.9% 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 MLlibWeka
Star Rating
(13)4.3 out of 5
Market Segments
Enterprise (76.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about WekaSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that MLlib excels in scalability, particularly when handling large datasets, making it a preferred choice for mid-market companies looking to leverage big data. In contrast, reviewers mention that Weka is more suited for smaller datasets and educational purposes, which may limit its appeal for larger enterprises.
- Reviewers mention that MLlib's integration with Apache Spark allows for seamless data processing and real-time analytics, which is a significant advantage for users needing high-performance machine learning capabilities. On the other hand, users on G2 highlight Weka's user-friendly interface and extensive collection of algorithms, making it easier for beginners to get started with machine learning.
- G2 users report that MLlib's support for distributed computing is a standout feature, enabling efficient training of machine learning models across multiple nodes. Conversely, users say that Weka's single-node architecture can be a limitation for those looking to scale their machine learning operations.
- Reviewers mention that MLlib provides robust support for various machine learning algorithms, including decision trees and clustering, which are essential for complex data analysis. In contrast, users report that Weka offers a more comprehensive suite of visualization tools, which can be beneficial for users needing to interpret their data more effectively.
- Users on G2 highlight that MLlib's performance in terms of speed and efficiency is superior, especially when processing large volumes of data. However, reviewers mention that Weka's ease of use and setup is a significant advantage for users who prioritize a quick learning curve over performance.
- Reviewers mention that while MLlib has a slightly lower quality of support, it is compensated by its strong community and extensive documentation. In contrast, users report that Weka's support is more responsive, which can be crucial for users needing immediate assistance during their machine learning projects.
Pricing
Entry-Level Pricing
MLlib
No pricing availableWeka
No pricing availableFree Trial
MLlib
No trial information availableWeka
No trial information availableRatings
Meets Requirements
8.5
14
8.9
12
Ease of Use
8.8
14
8.2
12
Ease of Setup
8.7
9
8.8
11
Ease of Admin
7.9
7
9.0
10
Quality of Support
7.3
10
7.9
8
Has the product been a good partner in doing business?
7.6
7
8.1
9
Product Direction (% positive)
7.5
14
7.1
12
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 Weka are categorized as Machine Learning
Unique Categories
MLlib has no unique categories
Weka has no unique categories
Reviews
Reviewers' Company Size
MLlib
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Weka
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%
Higher Education
30.8%
Information Technology and Services
15.4%
Research
7.7%
Real Estate
7.7%
Management Consulting
7.7%
Other
30.8%
Alternatives
Discussions
MLlib has no discussions with answers
Weka has no discussions with answers
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