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Weka Reviews

Vendor: Weka
3.9 out of 5
Badge Ranked 1
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What is Weka?

Weka provides a user-friendly platform for data processing and classification with a no-code interface, visual tools, and diverse algorithms. Its robust GUI supports seamless enterprise data integration and efficient performance on large datasets.

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Weka is the #1 ranked solution in top Anomaly Detection Tools and #4 ranked solution in top Data Mining solutions. PeerSpot users give Weka an average rating of 7.8 out of 10. Weka is most commonly compared to KNIME Business Hub: Weka vs KNIME Business Hub. Weka is popular among the large enterprise segment, accounting for 42% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 18% of all views.
Buyer's Guide
Weka
April 2026
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Weka mindshare

Product category:
Data Mining
As of April 2026, the mindshare of Weka in the Data Mining category stands at 8.0%, down from 20.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Mining Mindshare Distribution
ProductMindshare (%)
Weka8.0%
IBM SPSS Modeler17.4%
IBM SPSS Statistics17.2%
Other57.400000000000006%
Data Mining

PeerResearch reports based on Weka reviews

TypeTitleDate
CategoryData MiningApr 28, 2026Download
ProductReviews, tips, and advice from real usersApr 28, 2026Download
ComparisonWeka vs KNIME Business HubApr 28, 2026Download
ComparisonWeka vs IBM SPSS StatisticsApr 28, 2026Download
ComparisonWeka vs IBM SPSS ModelerApr 28, 2026Download
Suggested products
TitleRatingMindshareRecommending
KNIME Business Hub4.111.7%94%63 interviewsAdd to research
IBM SPSS Statistics4.117.2%89%40 interviewsAdd to research
 
 
Key learnings from peers
Last updated Apr 19, 2026

Valuable Features

Weka's standout features include its simplicity, user-friendly interface, and ease of data processing without coding. It excels in visualization, data classification, and handling large datasets. Weka offers numerous algorithms for data mining, enabling users to perform tasks quickly and efficiently. Its interface supports learning and experimentation, making it ideal for educational purposes. Additionally, its ability to integrate new algorithms and work with Java enhances its adaptability and performance.
  • "Using Weka has positively impacted my studies and projects because it has saved my time firstly."
  • "Weka's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing data."
  • "It’s pretty straightforward, it's user-friendly, it’s free, and with YouTube videos, online guides, and e-books on machine learning using Weka, you can quickly learn to use its good interface for data visualization, filtering, and creating different scenarios and instances."

Room for Improvement

Users suggest improving Weka's package installation and algorithm integration. Python compatibility and updated machine learning technologies are requested. They note inefficiencies in support and server deployment. Users desire enhanced data visualization, documentation, and stability. Import and conversion of numeric data and efficient classification are areas for enhancement. Improvement in handling large data and Spark integration is needed. Overall accessibility for less experienced users and pre-processing difficulties are concerns among users.
  • "As students, if we use the largest data sets, I think Weka struggles with large data sets imported into it."
  • "Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science."
  • "The solution doesn’t really have very good technical support."

ROI

Users of Weka report experiencing a substantial return on investment. They value Weka for its time-saving capabilities, improved productivity, and enhanced scalability, which stand out as chief benefits. They appreciate its performance analytics and ease of use, highlighting it as a cost-effective choice. Despite using the free version, users note significant advantages, affirming it as a better investment compared to other options available to them.

Pricing

Enterprise users report mixed experiences with Weka's pricing and licensing. Many highlight its open-source nature, praised for being free to download, with no setup costs, suitable for academia and small faculties. Some compare its basic free version with a feature-rich paid version for client-specific solutions, appreciating flexibility and scale for larger datasets. Users who require advanced solution alignments might opt for paid options, drawing value from available integrations while benefiting from free core functionalities.
  • "We use the free version now. My faculty is very small."
  • "As far as I know, Weka is a freeware tool, and I am not aware if they have an online solution or if it is a commercial product."
  • "The solution is free and open-source."

Popular Use Cases

Weka is primarily used for data exploration, processing, and mining. Users employ it for clustering, classification, and anomaly detection using various algorithms like J48, decision trees, and regression trees. It supports supervised and unsupervised learning, handling missing values, and visualizing data. Many rely on Weka for quick analysis and research projects, particularly when working with students or for visual representation in academia, often choosing Weka when not prioritizing programming with R or Python.

Service and Support

Weka's customer service is available 24/7. Some find technical support lacking, with delays noted. Forums and groups provide community-driven help, rated highly by many. There are mixed opinions, with some praising responsiveness and interaction, others find support insufficient, rating it five to six. Weka's users benefit from communal resources and documentation rather than direct support channels. Some rely on platforms like Stack Overflow for additional help beyond official support.

Deployment

Many find Weka's initial setup easy and intuitive, requiring little time, often under 15 minutes. The installation process is straightforward, especially for non-programmers, with effective documentation and tutorials. Data size impacts implementation time, and Weka handles small to medium datasets efficiently. Some note challenges with large datasets and initial data loading, but these become manageable with familiarity. Users praise the cloud deployment and value Weka's simplicity over alternatives like R.

Scalability

Weka's scalability is mixed. Some users report challenges with large datasets and note limitations in handling multiple users without horizontal scaling. In contrast, others praise its vertical scalability and stable performance once deployed. Users who work alone or with smaller data find it sufficient, while those requiring integration express concerns about scalability. It is effective for single machine learning tasks and praised for ease of use, but concerns remain regarding handling large datasets efficiently.

Stability

Weka is largely considered stable with high ratings, often described as reliable without significant issues or crashes. Stability is sometimes influenced by the selection of predictor variables, impacting classification accuracy. Users mention the need for better system resources for optimal performance. Occasionally, crashes are noted, but many find Weka satisfactory for their needs. Improvements in dynamic output and documentation are suggested to enhance functionality further.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Weka Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise3
By reviewers
By visitors reading reviews
Company SizeCount
Small Business81
Midsize Enterprise35
Large Enterprise83
By visitors reading reviews

Top industries

By visitors reading reviews
Educational Organization
18%
University
14%
Comms Service Provider
8%
Financial Services Firm
6%
Computer Software Company
6%
Construction Company
5%
Government
4%
Recreational Facilities/Services Company
4%
Non Tech Company
4%
Healthcare Company
4%
Performing Arts
3%
Manufacturing Company
3%
Non Profit
2%
Real Estate/Law Firm
2%
Retailer
2%
Energy/Utilities Company
1%
Media Company
1%
Transportation Company
1%
Hospitality Company
1%
Marketing Services Firm
1%
Logistics Company
1%

Compare Weka with alternative products

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Learn more about Weka

Weka is known for its simplicity and comprehensive algorithm selection, making it a popular choice for data exploration, processing, clustering, and mining. The platform is user-friendly and caters to both beginners and advanced users, supporting machine learning algorithms like classification, J48, KNN, regression, and clustering. Users leverage Weka for anomaly detection, data cleansing, and visualization, often in research and educational settings. Despite its strengths, users seek better Python integration and enhanced deep learning support, as well as improvements in data visualization, installation, and scalable solutions for big data scenarios.

What key features does Weka offer?
  • Simplicity: Intuitive design with a no-code interface for rapid project execution
  • Visualization: Comprehensive tools to assist in data interpretation and decision-making
  • Algorithm Variety: Wide range of options for data processing and classification
  • Performance: Efficient handling of large datasets with seamless enterprise integration
  • User-Friendliness: Robust GUI that assists both beginners and experienced users
What benefits and ROI do users see?
  • Time-Saving: Quick deployment with intuitive interfaces reduces project timelines
  • Flexibility: Adaptable to both on-premise and cloud-based deployment environments
  • Comprehensive Mining: Extensive capabilities allow for exhaustive data exploration
  • Ease of Use: Design caters to a range of users, enhancing accessibility and productivity

Weka is used across industries for projects involving data exploration and machine learning, enhancing research and educational initiatives. It transforms decision trees and neural networks, catering to diverse deployment requirements.

Related questions

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When evaluating Data Mining, what aspect do you think is the most important to look for?
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Product Categories

Product Categories
Data Mining
Anomaly Detection Tools

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Weka Reviews Summary
Author infoRatingReview Summary
Student at Rit4.0I use Weka for data exploration, processing, and mining, valuing its simplicity, visualization, and no-code efficiency for large datasets. While it saves time and boosts productivity, improvements are needed in its package manager for Python integration and adding modern algorithms.
Phd at a educational organization with 51-200 employees5.0I find Weka extremely useful for research, easy to use, and very complete with excellent stability, scalability, and support. I highly recommend it, though more analysis options would be beneficial. I consider it first place.
Treasury Management in Finance Department at National University of Pakistan3.5I used Weka for basic data mining; it's stable, free, and easy to use, yet lacks state-of-the-art algorithms and good visualizations. I rated it 7/10, recommending it despite these limitations for deeper analysis and presentations.
Manager at XS AMSAFIS DATASETS, S.L.3.5I run methods like Association rules and RandomForest in Weka, mainly using menu options as I don't know Java. While Weka is accessible for non-programmers, I prefer R and Python for most tasks. However, Weka's simplicity is useful for unfamiliar methods.
Weka Specialist at freelancer4.5I use Weka for machine learning tasks because it requires no coding and simplifies setting parameters. While it offers ROI, its visualization needs improvement, particularly regarding data cleaning. Previously, I used Python and R for similar tasks.
Student at a university with 1,001-5,000 employees3.5I find Weka a free, user-friendly tool with good data visualization and easy setup, suitable for labs. My main concerns are the lack of strong technical support and reports of slowness. I'd rate it 7/10.
Weka Specialist at freelancer4.5Having used Weka for seven years, I appreciate its classification capabilities and the confidence it builds. While its data transformation tools and visualization could improve, its ease of use for non-coders and responsive support are strong positives.
Consultant for the implementation of maintenance management and repair of equipment at IT-Enterprise4.0I use Weka for anomaly detection. It offers a user-friendly GUI and easy data analysis, but it's complicated for less experienced users and lacks scalability. Setup was easy, and it is stable. I rate it 8/10.