Software · head to head
KNIME vs RapidMiner
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; RapidMiner rapidMiner is now a Siemens product: rapidminer.com redirects to a Siemens product page and the former Altair page redirects there too
- They diverge on capability: KNIME covers Data preprocessing, RapidMiner covers AutoML.
Where they differ
Only the attributes on which KNIME and RapidMiner actually diverge.
| Attribute | KNIME | RapidMiner |
|---|---|---|
| Platforms | Linux, Mac, Windows | Linux, Mac, Windows, Web |
| Founded | 2004 | 2007 |
Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated), category (Unknown).
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
- Data preprocessing
- Machine learning
- Visualization
- Reporting
- H2O
- TensorFlow
Only in RapidMiner
- AutoML
- Data preparation
- Model deployment
- Text mining
- Hadoop
- Cloud platforms
- Web support
Both cover
- Visual workflows
- Python
- R
- Spark
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
KNIME
- Building data pipelines and analytics workflows visually rather than in codenot RapidMiner
- Connecting and blending data across many sources for analysisnot RapidMiner
RapidMiner
- Visual drag and drop machine learning model buildingnot KNIME
- Data preparation and cleansing before modellingnot KNIME
- Deploying and scoring predictive models in an enterprise settingnot 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
RapidMiner
- RapidMiner is now a Siemens product: rapidminer.com redirects to a Siemens product page and the former Altair page redirects there too
- Pricing is by quote only: the product page publishes no rate, no licensing unit and no minimum, offering only a Contact us button
- The product is now one component of a six product portfolio alongside Graph Studio, SLC, Monarch, Panopticon and Knowledge Studio
Pricing, plan by plan
KNIME
Free- Analytics PlatformFree
- Visual workflows
- All nodes
- Community extensions
- ServerFree
- Team collaboration
- Workflow automation
- REST API
RapidMiner
Free- FreeFree
- 10,000 data rows
- 1 logical processor
- ProfessionalFree
- Unlimited data
- Full features
- Support
Which should you pick?
Choose KNIME if
- You need data preprocessing.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want machine learning.
Choose RapidMiner if
- You need automl.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want data preparation.
Questions people ask
- Is KNIME or RapidMiner better?
- Neither clearly leads. KNIME starts at Free and RapidMiner at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, KNIME or RapidMiner?
- KNIME starts at Free and RapidMiner at Free.
- Does KNIME or RapidMiner run on more platforms?
- KNIME runs on Linux, Mac, Windows. RapidMiner runs on Linux, Mac, Windows, Web.
- 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 building data pipelines and analytics workflows visually rather than in code, connecting and blending data across many sources for analysis. Of those, building data pipelines and analytics workflows visually rather than in code and connecting and blending data across many sources for analysis are not what RapidMiner is typically brought in for.
- What can KNIME do that RapidMiner cannot?
- KNIME covers Data preprocessing, Machine learning, Visualization, Reporting. RapidMiner covers AutoML, Data preparation, Model deployment, Text mining. Both handle Visual workflows, Python, R, Spark.
Related pages
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