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MLlib in Apache Spark vs Weka
A side-by-side comparison of pricing, ratings, features, pros and cons.
| Overview | |||
| Description | Distributed machine learning library in Spark. | Weka is a collection of machine learning algorithms for data mining tasks. | |
| Category | |||
| Developer | Apache Software Foundation | University of Waikato | |
| Verified Status | No | No | |
| Last Updated | Aug 2026 | Aug 2026 | |
| Pricing | |||
| Pricing Model | Open Source | Open Source | |
| Free Plan | Yes | Yes | |
| Free Trial | No | No | |
| Open Source | Yes | Yes | |
| Capabilities | |||
| API Access | No | No | |
| Features | • Distributed machine learning at Spark scale • Classification, regression, clustering algorithms • Java, Scala, Python, and R support • ML Pipeline construction and hyperparameter tuning • Distributed linear algebra: SVD, PCA • Free and open source (Apache License 2.0) | • Graphical workbench for ML and data mining • Classification, regression, and clustering algorithms • Built-in data preprocessing and visualization • Cross-platform, Java-based • Educational courses and documentation • Free (GPL); commercial licenses available | |
| Tags | sparkmllibapachedistributedmachinelearning | wekacollectionmachinelearningalgorithmsdata | |
| Trust and Engagement | |||
| Review Count | 0 | 0 | |
| Saves | 0 | 0 | |
| Views | 10 | 11 | |
| Quality Score | 49/100 | 49/100 | |
| Website Status | Online | Online | |
| Availability | |||
| Website | spark.apache.org | www.cs.waikato.ac.nz | |
| Screenshots | No | No | |
| Reviews | |||
| Pros | • Free to use | • Free to use | |
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