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Weka Reviews

Vendor: Weka
3.8 out of 5

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Helped 879,422 peers since 2012

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Weka mindshare

Product category:
As of January 2026, the mindshare of Weka in the Data Mining category stands at 9.7%, down from 21.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Mining Market Share Distribution
ProductMarket Share (%)
Weka9.7%
IBM SPSS Modeler20.2%
IBM SPSS Statistics19.4%
Other50.7%
Data Mining

PeerResearch reports based on Weka reviews

TypeTitleDate
CategoryData MiningJan 1, 2026Download
ProductReviews, tips, and advice from real usersJan 1, 2026Download
ComparisonWeka vs KNIME Business HubJan 1, 2026Download
ComparisonWeka vs IBM SPSS StatisticsJan 1, 2026Download
ComparisonWeka vs IBM SPSS ModelerJan 1, 2026Download
Suggested products
TitleRatingMindshareRecommending
KNIME Business Hub4.114.6%94%60 interviewsAdd to research
IBM SPSS Statistics4.019.4%88%39 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business5
Midsize Enterprise1
Large Enterprise2
By reviewers
By visitors reading reviews
Company SizeCount
Small Business71
Midsize Enterprise41
Large Enterprise93
By visitors reading reviews

Top industries

By visitors reading reviews
Educational Organization
17%
University
15%
Computer Software Company
9%
Comms Service Provider
7%
Government
5%
Financial Services Firm
5%
Non Tech Company
4%
Construction Company
3%
Healthcare Company
3%
Recreational Facilities/Services Company
3%
Performing Arts
3%
Non Profit
2%
Real Estate/Law Firm
2%
Transportation Company
2%
Hospitality Company
2%
Retailer
2%
Energy/Utilities Company
2%
Manufacturing Company
2%
Media Company
1%
Wholesaler/Distributor
1%
Insurance Company
1%
Logistics Company
1%
 
Weka Reviews Summary
Author infoRatingReview Summary
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.
Treasury Management in Finance Department at National University of Pakistan3.5In my university experience, Weka was adequate for basic data analysis but lacked visualizations and advanced features. I preferred Python libraries due to their flexibility and free access, while KNIME would have been better for energy analytics.
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 employees3.5No summary available
Freelance Engineer at Autónomo3.5No summary available
Weka Specialist at freelancer4.5No summary available
PHD at FTN KM4.5I find Weka's interface excellent, offering top-tier algorithms and comprehensive documentation, which greatly benefits my students learning data mining. However, it could improve stability. Despite this, we haven't considered other solutions or providers.
Consultant for the implementation of maintenance management and repair of equipment at IT-Enterprise4.0No summary available