Users report that Mahout excels in scalability, particularly for large datasets, making it a preferred choice for organizations dealing with big data. In contrast, reviewers mention that Weka is more suited for smaller datasets and educational purposes, which may limit its application in enterprise environments.
Reviewers say that Mahout's integration with Apache Hadoop allows for seamless processing of large-scale data, while users on G2 highlight Weka's user-friendly interface and ease of setup, making it more accessible for beginners and those looking for quick implementations.
G2 users mention that Mahout offers a wider variety of algorithms, particularly for clustering and recommendation systems, which is a significant advantage for advanced users. Conversely, users report that Weka provides a robust set of visualization tools that help in understanding data patterns, which is beneficial for data analysis.
Users say that Mahout's support for distributed computing is a standout feature, allowing for efficient processing across multiple nodes. However, reviewers mention that Weka's quality of support is slightly lower, with some users expressing concerns about response times for technical queries.
Reviewers mention that Mahout's product direction is viewed positively, with an 8.9 rating, indicating a strong commitment to evolving the software. In contrast, users report that Weka's product direction received a lower score of 7.1, suggesting potential stagnation in feature development.
Users on G2 highlight that Mahout's actionable insights are particularly strong when leveraging its advanced algorithms, while reviewers mention that Weka's insights are more straightforward, making it easier for users to derive conclusions without extensive technical knowledge.
Pricing
Entry-Level Pricing
Mahout
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Weka
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Free Trial
Mahout
No trial information available
Weka
No trial information available
Ratings
Meets Requirements
8.3
11
8.9
12
Ease of Use
7.1
11
8.2
12
Ease of Setup
7.6
9
8.8
11
Ease of Admin
7.6
9
9.0
10
Quality of Support
8.8
8
7.9
8
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