Software · head to head
SAS vs BentoML
The short version
- Each has a real cost: SAS sAS publishes no rate, no minimum and no named cost driver; the how to buy page offers only a customized price quote based on your requirements and deployment preferences; 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: SAS covers Statistical analysis, BentoML covers Model packaging.
Where they differ
Only the attributes on which SAS and BentoML actually diverge.
Identical on both: starting price (Free), 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 SAS
- Statistical analysis
- Machine learning
- Forecasting
- Text analytics
- Optimization
- Python
- R
- Hadoop
Only in BentoML
- Model packaging
- REST API generation
- Adaptive batching
- Multi-framework support
- Container deployment
- PyTorch
- TensorFlow
- scikit-learn
Both cover
- Linux support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
SAS
- Regulated statistical analysis and clinical reportingnot BentoML
- Enterprise data management, visualization and decisioning on one licensed platformnot BentoML
BentoML
- Machine learningnot SAS
- Data analysisnot SAS
- Model trainingnot SAS
- Predictive analyticsnot SAS
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
SAS
- SAS publishes no rate, no minimum and no named cost driver; the how to buy page offers only a customized price quote based on your requirements and deployment preferences
- Most new and existing customers are routed through authorized resellers rather than buying direct
- Cloud marketplace purchases require choosing between pay as you go and bring your own licence, each with different licensing terms
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
SAS
Free- SAS OnDemand for AcademicsFree
- Academic use
- Core SAS
- SAS ViyaFree
- Full platform
- Cloud-native
- AI/ML
BentoML
Free- Open SourceFree
- Model packaging
- API creation
- Local serving
- BentoCloudFree
- Managed deployment
- Auto-scaling
- Monitoring
Which should you pick?
Choose SAS if
- You need statistical analysis.
- You want to start without paying.
- You work on Linux, Windows, Web.
- You also want machine learning.
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 SAS or BentoML better?
- Neither clearly leads. SAS 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, SAS or BentoML?
- SAS starts at Free and BentoML at Free.
- Does SAS or BentoML run on more platforms?
- SAS runs on Linux, Windows, Web. BentoML runs on Linux, Mac, Windows.
- Can I use SAS for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is SAS best used for?
- SAS is most often used for regulated statistical analysis and clinical reporting, enterprise data management, visualization and decisioning on one licensed platform. Of those, regulated statistical analysis and clinical reporting and enterprise data management, visualization and decisioning on one licensed platform are not what BentoML is typically brought in for.
- What can SAS do that BentoML cannot?
- SAS covers Statistical analysis, Machine learning, Forecasting, Text analytics. BentoML covers Model packaging, REST API generation, Adaptive batching, Multi-framework support. Both handle Linux support, Windows support.