Software · head to head
Comet ML vs AWS SageMaker
Comet ML
Software
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
AWS SageMaker
Software
Build, train, and deploy machine learning models at scale
- 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; AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult
- They diverge on capability: Comet ML covers Experiment tracking, AWS SageMaker covers Jupyter notebooks.
Where they differ
Only the attributes on which Comet ML and AWS SageMaker actually diverge.
| Attribute | Comet ML | AWS SageMaker |
|---|---|---|
| Pricing model | freemium | Unknown |
| Platforms | Web, Linux, Mac, Windows | Web |
| Founded | 2017 | 2006 |
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 Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
Only in AWS SageMaker
- Jupyter notebooks
- Built-in algorithms
- Automatic model tuning
- One-click deployment
- Model monitoring
- S3
- Lambda
- Step Functions
Both cover
- Web 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 AWS SageMaker
- Monitoring and evaluating LLM applications with tracingnot AWS SageMaker
AWS SageMaker
- Machine learningnot Comet ML
- Data analysisnot Comet ML
- Model trainingnot Comet ML
- Predictive analyticsnot 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
AWS SageMaker
- Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
- Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
- Does not include native job scheduling, requiring Lambda or EventBridge integration
Pricing, plan by plan
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
AWS SageMaker
FreeNo published plan breakdown. See the AWS SageMaker review.
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 AWS SageMaker if
- You need jupyter notebooks.
- You want to start without paying.
- You also want built-in algorithms.
Questions people ask
- Is Comet ML or AWS SageMaker better?
- Neither clearly leads. Comet ML starts at Free and AWS SageMaker at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or AWS SageMaker?
- Comet ML starts at Free and AWS SageMaker at Free.
- Does Comet ML or AWS SageMaker run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. AWS SageMaker runs on 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 AWS SageMaker is typically brought in for.
- What can Comet ML do that AWS SageMaker cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Both handle Web support.
Answered from the vendors’ own pages
AWS SageMaker: What is AWS SageMaker used for?
AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.
SourceAWS SageMaker: How is AWS SageMaker priced?
SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.
SourceAWS SageMaker: Does AWS SageMaker have a free tier?
Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.
SourceRelated pages
More on AWS SageMaker
Keep looking
Other head to heads
- 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
- Comet ML vs PyTorch
- Comet ML vs scikit-learn
- Comet ML vs Apache Spark MLlib
- Comet ML vs Weights & Biases
- Comet ML vs Alteryx
- Comet ML vs Anaconda
- Comet ML vs Databricks
- Comet ML vs Dataiku
- Comet ML vs DVC
- AWS SageMaker vs Google Vertex AI
- AWS SageMaker vs Azure Machine Learning
- AWS SageMaker vs DataRobot
- AWS SageMaker vs Snowflake
- AWS SageMaker vs TensorFlow
- AWS SageMaker vs Keras
- AWS SageMaker vs MLflow
- AWS SageMaker vs Jupyter
- AWS SageMaker vs PyTorch
- AWS SageMaker vs scikit-learn
- AWS SageMaker vs Apache Spark MLlib
- AWS SageMaker vs Weights & Biases
- AWS SageMaker vs Alteryx
- AWS SageMaker vs Anaconda
- AWS SageMaker vs Databricks
- AWS SageMaker vs Dataiku
- AWS SageMaker vs DVC