Machine Learning · head to head
KNIME vs Weka

KNIME
Machine Learning
Open source data analytics and integration platform
- From
- Free
- Rated
- -
The short version
- Each has a real cost: KNIME the free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub; Weka the package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
- They diverge on capability: KNIME covers Visual workflows, Weka covers Classification.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which KNIME and Weka actually diverge.
Identical on both: starting price (Free), free tier (Yes), platforms (Linux, Mac, Windows), user rating (Not yet rated), category (Machine Learning).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in KNIME
- Visual workflows
- Data preprocessing
- Machine learning
- Visualization
- Reporting
- Spark
- H2O
- TensorFlow
Only in Weka
- Classification
- Regression
- Clustering
- Association rules
- Feature selection
- Java
Both cover
- Python
- R
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
KNIME
- Data science and machine learning workflowsnot Weka
- ETL and data pipeline automationnot Weka
- Predictive analytics and modelingnot Weka
Weka
- Teaching and exploring classic machine learning algorithms through a GUInot KNIME
- Running data mining experiments and preprocessing without writing codenot KNIME
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
KNIME
- The free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub
- The free AI assistant is limited to 20 interactions a month
- Paid workflow runtime is metered in credits, with 120 included on Pro and overage at $0.025 per vCore minute
- The Team plan at $99 a month includes 3 members, with additional seats at $49 a month each
- Business Hub pricing is on request, and its tiers are capped at 4, 8 and 16 vCores with 5, 5 and 20 users
Weka
- The package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
- Weka is split into a stable 3.8 branch that receives only bug fixes and compatibility-safe upgrades and a 3.9 development branch that may receive features that break compatibility
- Weka requires a 64-bit Java VM; the bundled installers ship Bellsoft OpenJDK 25 per platform and architecture
Pricing, plan by plan
KNIME
Free- Analytics PlatformFree
- 300+ data sources
- Unlimited local processing
- K-AI assistant (20 interactions/month)
- Pro$19/month
- 120 workflow runtime credits
- Data app deployment
- K-AI (500 interactions/month)
- Team$99/month
- All Pro features
- Collaboration spaces for up to 3 team members
- Additional members: $49/month each
- Business Hub$null/month
- Enterprise automation and governance
- LDAP/OAuth authentication
- Staged deployment
Weka
Free- Open SourceFree
- All ML algorithms
- GUI and CLI
- Java API
Which should you pick?
Choose KNIME if
- You need visual workflows.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want data preprocessing.
Choose Weka if
- You need classification.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want regression.
Questions people ask
- Is KNIME or Weka better?
- Neither clearly leads. KNIME starts at Free and Weka at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, KNIME or Weka?
- KNIME starts at Free and Weka at Free.
- Does KNIME or Weka run on more platforms?
- Both run on Linux, Mac, Windows, so platform support will not decide this one for you.
- Can I use KNIME for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is KNIME best used for?
- KNIME is most often used for data science and machine learning workflows, etl and data pipeline automation, predictive analytics and modeling. Of those, data science and machine learning workflows and etl and data pipeline automation are not what Weka is typically brought in for.
- What can KNIME do that Weka cannot?
- KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization. Weka covers Classification, Regression, Clustering, Association rules. Both handle Python, R, Linux support, Mac support.
Answered from the vendors’ own pages
KNIME: Is KNIME free?
Yes, KNIME Analytics Platform is free with 300+ data sources, unlimited local processing, and 20 K-AI assistant interactions per month.
SourceWeka: What is the cost of Weka software?
Weka is provided at no cost as open-source software released under the GNU General Public License, making it freely available for download and use.
SourceKNIME: What do KNIME paid plans cost?
Pro plan starts at $19/month with 120 runtime credits. Team plan starts at $99/month for up to 3 members, with additional members at $49/month each.
SourceWeka: Are there commercial licensing options available?
Yes, the project offers information about commercial licenses for organizations requiring non-GPL terms, which can be found in their commercial applications documentation.
SourceKNIME: What is KNIME's runtime credit system?
Pro and Team plans include runtime credits for workflow execution. Additional runtime beyond included credits costs $0.025 per vCore minute.
SourceWeka: What support resources are available to users?
Multiple support avenues exist including comprehensive documentation, frequently asked questions, dedicated help resources, and access to courses for learning the platform.
SourceKNIME: Does KNIME offer enterprise pricing?
Yes, Business Hub is available for enterprises needing automation, governance, LDAP/OAuth auth, and dedicated resources. Pricing available on request.
SourceWeka: Is source code access provided?
Yes, developers have full access to source code through the Git repository, along with development documentation and code credits for contributors.
SourceRelated pages
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- Weka vs Anaconda
- Weka vs AWS SageMaker
- Weka vs Google Vertex AI
- Weka vs Azure Machine Learning
- Weka vs DataRobot
- Weka vs RapidMiner
- Weka vs Dataiku
- Weka vs Alteryx
- Weka vs Orange
- Weka vs Jupyter
- Weka vs Python
- Weka vs ClearML
- Weka vs Ollama
- Weka vs OpenRouter
- Weka vs Pachyderm
- Weka vs Ray
- Weka vs scikit-learn
- Weka vs Databricks
- Weka vs MATLAB
- Weka vs SAS
- Weka vs Apache Spark MLlib
- Weka vs Minitab
- Weka vs Mistral AI
- Weka vs BigQuery ML
- Weka vs JMP

