Machine Learning & Data Science · head to head
Amazon Redshift ML vs Comet ML
Amazon Redshift ML
Machine Learning & Data Science
Create machine learning models using SQL
- From
- Free
- Rated
- -
Comet ML
Machine Learning & Data Science
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amazon Redshift ML free tier covers only two CREATE MODEL requests per month for two months, capped at 100,000 cells per request; beyond that training is metered at $20 per million cells for the first 10 million, dropping in tiers to $7 per million cells over 100 million; Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention
- They diverge on capability: Amazon Redshift ML covers SQL-based ML, Comet ML covers Experiment tracking.
Where they differ
Only the attributes on which Amazon Redshift ML and Comet ML actually diverge.
| Attribute | Amazon Redshift ML | Comet ML |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Web | Web, Linux, Mac, Windows |
| Founded | 2006 | 2017 |
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 Amazon Redshift ML
- SQL-based ML
- AutoML
- SageMaker integration
- BYOM support
- In-database predictions
- Amazon Redshift
- SageMaker
- S3
Only in Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Amazon Redshift ML
- Training and running machine learning models directly from SQL inside Amazon Redshiftnot Comet ML
Comet ML
- Tracking machine learning experiments, metrics and model versionsnot Amazon Redshift ML
- Monitoring and evaluating LLM applications with tracingnot Amazon Redshift ML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Amazon Redshift ML
- Free tier covers only two CREATE MODEL requests per month for two months, capped at 100,000 cells per request; beyond that training is metered at $20 per million cells for the first 10 million, dropping in tiers to $7 per million cells over 100 million
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
Pricing, plan by plan
Amazon Redshift ML
Free- Free TrialFree
- 2-month trial
- 750 DC2.Large hours
- On-Demand$0.25/hour
- Per-node pricing
- SageMaker training
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
Which should you pick?
Choose Amazon Redshift ML if
- You need sql-based ml.
- You want to start without paying.
- You also want automl.
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.
Questions people ask
- Is Amazon Redshift ML or Comet ML better?
- Neither clearly leads. Amazon Redshift ML starts at Free and Comet ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Redshift ML or Comet ML?
- Amazon Redshift ML starts at Free and Comet ML at Free.
- Does Amazon Redshift ML or Comet ML run on more platforms?
- Amazon Redshift ML runs on Web. Comet ML runs on Web, Linux, Mac, Windows.
- Can I use Amazon Redshift ML for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Amazon Redshift ML best used for?
- Amazon Redshift ML is most often used for training and running machine learning models directly from sql inside amazon redshift. Of those, training and running machine learning models directly from sql inside amazon redshift is not what Comet ML is typically brought in for.
- What can Amazon Redshift ML do that Comet ML cannot?
- Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support. Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Both handle Web support.
Related pages
More on Amazon Redshift ML
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