kitio.aiApache Spark MLlib vs KNIME
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Apache Spark MLlib is completely free, while KNIME is freemium.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Distributed model training
- ML pipelines
- Classification and clustering
- Hadoop data sources
- Java, Scala, Python and R APIs
- Visual node-based workflows
- ETL and data blending
- Predictive machine learning
- Generative AI and agent building
- Hundreds of data connectors
- Enterprise deployment and governance
| Feature | Apache Spark MLlib | KNIME |
|---|---|---|
| Best for | Distributed machine learning library built into Apache Spark | Open-source visual workflows for analytics, ML and AI agents |
| Category | Data & analytics | Data & analytics |
| Pricing model | Free | Freemium |
| Starting price | Free | See pricing page |
| Free plan | Yes, fully free | Yes |
| Made by | Apache Software Foundation | KNIME |
| Based in | – | Switzerland |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Apache Spark MLlib is completely free, while KNIME is freemium.
Free plan
Cheapest paid plan
Top plan
Free trial
Prices in USD, checked Oct 29, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Apache Spark MLlib
- Scales across large clusters
- Fits into existing Spark jobs
- Free and open source
- Needs a Spark cluster to be useful
- Few deep learning features
- Heavier setup than single-machine libraries
KNIME
- Desktop platform is free and open source
- Visual workflows without heavy coding
- Large set of data connectors
- Scales from beginners to experts
- Interface feels dense at first
- Enterprise pricing needs sales
- Large workflows can get slow on a laptop
Which one should you choose?
Choose Apache Spark MLlib if you want:
- Scales across large clusters
- Fits into existing Spark jobs
- Free and open source
Watch out: needs a spark cluster to be useful.
Choose KNIME if you want:
- Desktop platform is free and open source
- Visual workflows without heavy coding
- Large set of data connectors
Watch out: interface feels dense at first.
Apache Spark MLlib vs KNIME FAQ
What is the difference between Apache Spark MLlib and KNIME?
Apache Spark MLlib: Distributed machine learning library built into Apache Spark. KNIME: Open-source visual workflows for analytics, ML and AI agents. Both are data & analytics tools.
Is Apache Spark MLlib or KNIME cheaper?
Apache Spark MLlib is completely free, while KNIME is freemium.
Do Apache Spark MLlib and KNIME have free plans?
Apache Spark MLlib: Yes, fully free. KNIME: Yes.
Who makes Apache Spark MLlib?
Apache Spark MLlib is made by Apache Software Foundation.
Who makes KNIME?
KNIME is made by KNIME, based in Switzerland.
Which should I choose, Apache Spark MLlib or KNIME?
Choose Apache Spark MLlib if you value scales across large clusters and fits into existing spark jobs. Choose KNIME if you value desktop platform is free and open source and visual workflows without heavy coding.