Software · head to head
RapidMiner vs BentoML
The short version
- Each has a real cost: RapidMiner rapidMiner is now a Siemens product: rapidminer.com redirects to a Siemens product page and the former Altair page redirects there too; BentoML core BentoML framework is Apache 2.0 and free, but the managed BentoCloud enterprise tier has no published pricing: the README instructs buyers to sign up for personal access or contact sales for enterprise use, with no rate card shown.
- They diverge on capability: RapidMiner covers Visual workflows, BentoML covers Model packaging.
Where they differ
Only the attributes on which RapidMiner and BentoML actually diverge.
| Attribute | RapidMiner | BentoML |
|---|---|---|
| Platforms | Linux, Mac, Windows, Web | Linux, Mac, Windows |
| Founded | 2007 | 2019 |
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 RapidMiner
- Visual workflows
- AutoML
- Data preparation
- Model deployment
- Text mining
- Python
- R
- Spark
Only in BentoML
- Model packaging
- REST API generation
- Adaptive batching
- Multi-framework support
- Container deployment
- PyTorch
- TensorFlow
- scikit-learn
Both cover
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
RapidMiner
- Visual drag and drop machine learning model buildingnot BentoML
- Data preparation and cleansing before modellingnot BentoML
- Deploying and scoring predictive models in an enterprise settingnot BentoML
BentoML
- Machine learningnot RapidMiner
- Data analysisnot RapidMiner
- Model trainingnot RapidMiner
- Predictive analyticsnot RapidMiner
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
BentoML
- Core BentoML framework is Apache 2.0 and free, but the managed BentoCloud enterprise tier has no published pricing: the README instructs buyers to sign up for personal access or contact sales for enterprise use, with no rate card shown.
Pricing, plan by plan
RapidMiner
Free- FreeFree
- 10,000 data rows
- 1 logical processor
- ProfessionalFree
- Unlimited data
- Full features
- Support
BentoML
Free- Open SourceFree
- Model packaging
- API creation
- Local serving
- BentoCloudFree
- Managed deployment
- Auto-scaling
- Monitoring
Which should you pick?
Choose RapidMiner if
- You need visual workflows.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want automl.
Choose BentoML if
- You need model packaging.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want rest api generation.
Questions people ask
- Is RapidMiner or BentoML better?
- Neither clearly leads. RapidMiner starts at Free and BentoML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, RapidMiner or BentoML?
- RapidMiner starts at Free and BentoML at Free.
- Does RapidMiner or BentoML run on more platforms?
- RapidMiner runs on Linux, Mac, Windows, Web. BentoML runs on Linux, Mac, Windows.
- Can I use RapidMiner for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is RapidMiner best used for?
- RapidMiner is most often used for visual drag and drop machine learning model building, data preparation and cleansing before modelling, deploying and scoring predictive models in an enterprise setting. Of those, visual drag and drop machine learning model building and data preparation and cleansing before modelling are not what BentoML is typically brought in for.
- What can RapidMiner do that BentoML cannot?
- RapidMiner covers Visual workflows, AutoML, Data preparation, Model deployment. BentoML covers Model packaging, REST API generation, Adaptive batching, Multi-framework support. Both handle Linux support, Mac support, Windows support.
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