Machine Learning & Data Science · head to head
SAS vs DataRobot

SAS
Machine Learning & Data Science
Analytics, AI and data management software
- From
- Free
- Rated
- -

DataRobot
Machine Learning & Data Science
Enterprise AI platform for automated machine learning
- From
- On request
- Rated
- -
The short version
- Only SAS has a free tier, so it costs nothing to try first.
- 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; DataRobot model transparency is limited, often resembling a black box with limited explainability
- They diverge on capability: SAS covers Statistical analysis, DataRobot covers Automated ML.
Where they differ
Only the attributes on which SAS and DataRobot actually diverge.
Identical on both: pricing model (subscription), user rating (Not yet rated), category (Machine Learning & Data Science).
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 DataRobot
- Automated ML
- Model deployment
- Time series
- MLOps
- Model monitoring
- Snowflake
- Databricks
- AWS
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
SAS
- Regulated statistical analysis and clinical reportingnot DataRobot
- Enterprise data management, visualization and decisioning on one licensed platformnot DataRobot
DataRobot
- 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
DataRobot
- Model transparency is limited, often resembling a black box with limited explainability
- Requires integration with separate data manipulation tools for complex data transformation
- Lacks native Python and R code customization for proprietary algorithms
- Dependence on cloud connectivity means offline capabilities are not available
- Uploading sensitive data to third-party servers raises data privacy and security concerns
Pricing, plan by plan
SAS
Free- SAS OnDemand for AcademicsFree
- Academic use
- Core SAS
- SAS ViyaFree
- Full platform
- Cloud-native
- AI/ML
DataRobot
On request- TrialFree
- Limited access
- Basic features
- EnterpriseFree
- Full platform
- AutoML
- MLOps
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.
Questions people ask
- Is SAS or DataRobot better?
- Neither clearly leads. SAS starts at Free and DataRobot at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, SAS or DataRobot?
- SAS has a free tier; the other does not. Paid plans start at Free for SAS and On request for DataRobot.
- Does SAS or DataRobot run on more platforms?
- SAS runs on Linux, Windows, Web. DataRobot runs on Web.
- Can I use SAS for free?
- Yes. SAS has a free tier, so you can try it without paying. DataRobot starts at On request.
- 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 DataRobot is typically brought in for.
- What can SAS do that DataRobot cannot?
- SAS covers Statistical analysis, Machine learning, Forecasting, Text analytics. DataRobot covers Automated ML, Model deployment, Time series, MLOps. Both handle Web support.
Answered from the vendors’ own pages
DataRobot: Does DataRobot require data science expertise?
DataRobot automates much of the ML pipeline including data preparation, feature engineering, and model selection, making it more accessible to non-experts, though it is still an enterprise platform.
SourceDataRobot: What does DataRobot cost?
DataRobot uses custom enterprise pricing with typical starting costs around $2,500 per month for smaller organizations. For 10 users, monthly costs range from $15,000 to $20,000. Implementation and professional services are 20-40% of first-year contract value.
SourceDataRobot: Does DataRobot support generative AI?
Yes, DataRobot offers generative AI capabilities with API-first integrations for LLMs, vector databases, and embedding models.
SourceDataRobot: Can DataRobot handle unstructured data?
Yes, DataRobot supports machine learning on both structured and unstructured data, including deep learning, NLP, and image analysis.
SourceRelated pages
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- DataRobot vs scikit-learn
- DataRobot vs Apache Spark MLlib
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- DataRobot vs Dataiku
- DataRobot vs DVC
