Machine Learning · head to head
KNIME vs RapidMiner

KNIME
Machine Learning
Open source data analytics and integration platform
- From
- Free
- Rated
- -

RapidMiner
Machine Learning
Visual workflow data science platform, now sold by Altair as AI Studio
- 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; RapidMiner processes are stored as the product's own XML, so they cannot be meaningfully diffed, reviewed in a pull request or executed anywhere else, and a team's accumulated work is not portable in any practical sense.
- They diverge on capability: KNIME covers Visual workflows, RapidMiner covers Visual process canvas.
- Prices and features above were last checked on 30 August 2026.
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 (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
- Python
- R
- Spark
Only in RapidMiner
- Visual process canvas
- Operator library
- Automatic modelling
- Python and R operators
- Validation operators
- Text and time series extensions
- AI Hub server
- Altair portfolio integration
What people use each for
The jobs each tool is most often brought in to do.
KNIME
- Data science and machine learning workflowsnot RapidMiner
- ETL and data pipeline automationnot RapidMiner
- Predictive analytics and modelingnot RapidMiner
RapidMiner
- Modelling work in an engineering organisation where the analysis must be reviewable by people who do not codenot KNIME
- Teaching data science concepts, where seeing the validation split as a visible connection is more instructive than reading a function callnot KNIME
- Companies already holding Altair licences, where adding this draws on units already purchased rather than a new procurementnot KNIME
- Business analysts building predictive workflows without a data science team to hand the problem tonot 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
- Processes are stored as the product's own XML, so they cannot be meaningfully diffed, reviewed in a pull request or executed anywhere else, and a team's accumulated work is not portable in any practical sense.
- The operator library is the ceiling, and anything beyond it means dropping into an embedded Python or R operator, at which point the code sits inside a visual container that provides none of the version control, testing or debugging a normal repository would.
- Two changes of ownership in three years, Altair in 2022 and Siemens thereafter, have already moved the product's name, packaging and licensing, so a buyer is committing to a roadmap decided inside a much larger engineering software business.
- Licensing draws on Altair's shared units pool, so running heavy modelling work consumes capacity that other teams in the organisation were relying on for different products, which makes cost attribution and capacity planning awkward.
- Scheduling and deployment require AI Hub as a separate server product to install, license and operate, so a model built on the desktop is not in production until another purchase and another installation have been completed.
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
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 visual workflows.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want data preprocessing.
Choose RapidMiner if
- You need visual process canvas.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want operator library.
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 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 RapidMiner is typically brought in for.
- What can KNIME do that RapidMiner cannot?
- KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization. RapidMiner covers Visual process canvas, Operator library, Automatic modelling, Python and R operators.
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.
SourceRapidMiner: Is it still called RapidMiner?
The desktop product is now Altair AI Studio and the server is Altair AI Hub. The RapidMiner name persists in documentation, community material and most search results, which makes finding current information harder than it should be.
KNIME: 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.
SourceRapidMiner: Is there a free version?
Altair has offered free and academic editions with usage limits, but the terms have moved with each ownership change, so check what is currently on offer rather than relying on what the free tier allowed a few years ago.
KNIME: 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.
SourceRapidMiner: Do I need to write code?
No, which is the point of it. You will write some once you hit the edge of the operator library, and at that stage the tool works against you rather than for you.
KNIME: 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.
SourceRapidMiner: Can I put a model into production?
Through AI Hub, which is a separate licensed server. The desktop tool builds and validates; it does not schedule or serve.
RapidMiner: How does licensing work?
Through Altair's units model, where a pool of purchased units is drawn on by whichever Altair products your organisation runs, rather than a per-seat licence specific to this product.
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