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Weka Reviews

Vendor: Weka
3.9 out of 5
Badge Ranked 1

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Helped 886,976 peers since 2012

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Weka mindshare

Product category:
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 20, 2026Download
ProductReviews, tips, and advice from real usersApr 20, 2026Download
ComparisonWeka vs KNIME Business HubApr 20, 2026Download
ComparisonWeka vs IBM SPSS StatisticsApr 20, 2026Download
ComparisonWeka vs IBM SPSS ModelerApr 20, 2026Download
Suggested products
TitleRatingMindshareRecommending
KNIME Business Hub4.111.7%94%62 interviewsAdd to research
IBM SPSS Statistics4.117.2%89%40 interviewsAdd to research
 
 
Key learnings from peers
Last updated Apr 19, 2026

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise3
By reviewers
By visitors reading reviews
Company SizeCount
Small Business79
Midsize Enterprise35
Large Enterprise83
By visitors reading reviews

Top industries

By visitors reading reviews
Educational Organization
17%
University
15%
Comms Service Provider
8%
Computer Software Company
7%
Financial Services Firm
6%
Construction Company
6%
Government
5%
Non Tech Company
4%
Recreational Facilities/Services Company
4%
Manufacturing Company
4%
Healthcare Company
4%
Performing Arts
4%
Real Estate/Law Firm
3%
Non Profit
3%
Retailer
3%
Transportation Company
2%
Energy/Utilities Company
2%
Media Company
2%
Hospitality Company
1%
Marketing Services Firm
1%
Insurance Company
1%
Logistics Company
1%
Wholesaler/Distributor
1%
Consumer Goods Company
1%
Aerospace/Defense Firm
1%
Mining And Metals Company
1%
Outsourcing Company
1%
Pharma/Biotech Company
1%
Agriculture
1%
 
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.