Machine Learning & Data Science · head to head
Comet ML vs SAS

Comet ML
Machine Learning & Data Science
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -

SAS
Machine Learning & Data Science
Analytics, AI and data management software
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; 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
- They diverge on capability: Comet ML covers Experiment tracking, SAS covers Statistical analysis.
Where they differ
Only the attributes on which Comet ML and SAS actually diverge.
Identical on both: starting price (Free), free tier (Yes), 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 Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
Only in SAS
- Statistical analysis
- Machine learning
- Forecasting
- Text analytics
- Optimization
- Python
- R
- Hadoop
Both cover
- Web support
- Linux support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Comet ML
- Tracking machine learning experiments, metrics and model versionsnot SAS
- Monitoring and evaluating LLM applications with tracingnot SAS
SAS
- Regulated statistical analysis and clinical reportingnot Comet ML
- Enterprise data management, visualization and decisioning on one licensed platformnot Comet ML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Comet ML
- The free cloud tier caps data at 25,000 spans a month with 60 day retention
- Retention stays at 60 days even on the paid Pro plan, and extending it is a $29 per 100k spans add on
- Overage on Pro is $5 per additional 100,000 spans
- The free MLOps tier is a single user with 100 GB of storage and training hours governed by a fair usage policy
- Pro MLOps is $19 per user per month and caps the team at 10 users
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
Pricing, plan by plan
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
SAS
Free- SAS OnDemand for AcademicsFree
- Academic use
- Core SAS
- SAS ViyaFree
- Full platform
- Cloud-native
- AI/ML
Which should you pick?
Choose Comet ML if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Linux, Mac, Windows.
- You also want code versioning.
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 Comet ML or SAS better?
- Neither clearly leads. Comet ML starts at Free and SAS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or SAS?
- Comet ML starts at Free and SAS at Free.
- Does Comet ML or SAS run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. SAS runs on Linux, Windows, Web.
- Can I use Comet ML for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Comet ML best used for?
- Comet ML is most often used for tracking machine learning experiments, metrics and model versions, monitoring and evaluating llm applications with tracing. Of those, tracking machine learning experiments, metrics and model versions and monitoring and evaluating llm applications with tracing are not what SAS is typically brought in for.
- What can Comet ML do that SAS cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. SAS covers Statistical analysis, Machine learning, Forecasting, Text analytics. Both handle Web support, Linux support, Windows support.
Related pages
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- Comet ML vs Google Vertex AI
- Comet ML vs Azure Machine Learning
- Comet ML vs DataRobot
- Comet ML vs Snowflake
- Comet ML vs TensorFlow
- Comet ML vs Keras
- Comet ML vs MLflow
- Comet ML vs Jupyter
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- Comet ML vs scikit-learn
- Comet ML vs Apache Spark MLlib
- Comet ML vs Weights & Biases
- Comet ML vs Alteryx
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- Comet ML vs Databricks
- Comet ML vs Dataiku
- Comet ML vs DVC
- SAS vs AWS SageMaker
- SAS vs Google Vertex AI
- SAS vs Azure Machine Learning
- SAS vs DataRobot
- SAS vs Snowflake
- SAS vs TensorFlow
- SAS vs Keras
- SAS vs MLflow
- SAS vs Jupyter
- SAS vs PyTorch
- SAS vs scikit-learn
- SAS vs Apache Spark MLlib
- SAS vs Weights & Biases
- SAS vs Alteryx
- SAS vs Anaconda
- SAS vs Databricks
- SAS vs Dataiku
- SAS vs DVC
