Users report that Mahout's integration capabilities are robust, particularly with Hadoop, making it a strong choice for organizations already invested in the Hadoop ecosystem. In contrast, reviewers mention that scikit-learn excels in its ease of integration with Python-based applications, which is a significant advantage for teams using Python for data science.
Reviewers say that Mahout's algorithm selection is diverse, particularly for large-scale data processing, but some users feel that the learning curve can be steep. On the other hand, users on G2 highlight scikit-learn's user-friendly interface and extensive documentation, making it easier for beginners to implement machine learning algorithms.
G2 users mention that Mahout provides solid support for distributed computing, which is essential for handling big data. However, users report that scikit-learn's support is more accessible and responsive, with many users appreciating the active community and resources available for troubleshooting.
Reviewers mention that Mahout's performance shines in scenarios requiring high scalability, but some users express concerns about its complexity in setup and administration. In contrast, users say that scikit-learn is praised for its straightforward setup process, allowing teams to get started quickly without extensive configuration.
Users report that Mahout's actionable insights can be powerful for advanced users who are comfortable with its framework, but some find it less intuitive. Conversely, reviewers mention that scikit-learn provides clear and actionable insights that are easy to interpret, making it a favorite among data analysts.
Reviewers say that Mahout's product direction is promising, especially with its focus on big data applications, but some users feel that it lacks the frequent updates seen in scikit-learn. Users on G2 highlight scikit-learn's consistent updates and improvements, which keep it aligned with the latest trends in machine learning.
Pricing
Entry-Level Pricing
Mahout
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scikit-learn
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Mahout
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scikit-learn
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Ratings
Meets Requirements
8.3
11
9.6
52
Ease of Use
7.1
11
9.6
52
Ease of Setup
7.6
9
9.6
40
Ease of Admin
7.6
9
9.4
39
Quality of Support
8.8
8
9.4
48
Has the product been a good partner in doing business?
Scikit-learn is a powerful library, well-integrated with other Python libraries such as pandas, NumPy, Matplotlib, and Seaborn. It supports creating machine...Read more
What is Python Scikit learn?
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It is a library used to implement machine-learning models. Provides vast range of methods to perform data preprocessing, feature selection, and popularly...Read more
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