Machine Learning & Data Science · head to head
Amazon Redshift ML vs Weights & Biases

Amazon Redshift ML
Machine Learning & Data Science
Create machine learning models using SQL
- From
- Free
- Rated
- -

Weights & Biases
Machine Learning & Data Science
Developer tools for machine learning
- 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; Weights & Biases pricing can be prohibitive for large teams without enterprise discounts
- They diverge on capability: Amazon Redshift ML covers SQL-based ML, Weights & Biases covers Experiment tracking.
Where they differ
Only the attributes on which Amazon Redshift ML and Weights & Biases actually diverge.
| Attribute | Amazon Redshift ML | Weights & Biases |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | Web | Web, Python SDK, REST API |
| 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 Weights & Biases
- Experiment tracking
- Dataset versioning
- Model registry
- Hyperparameter sweeps
- Collaborative dashboards
- 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 Weights & Biases
Weights & Biases
- Machine learningnot Amazon Redshift ML
- Data analysisnot Amazon Redshift ML
- Model trainingnot Amazon Redshift ML
- Predictive analyticsnot 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
Weights & Biases
- Pricing can be prohibitive for large teams without enterprise discounts
- Limited integrations compared to some competitors
- Dashboard customization options limited on lower plans
- Requires some setup and configuration knowledge
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
Weights & Biases
Free- FreeFree
- 5 model seats
- 5 GB storage
- 1 GB/month Weave ingestion
- Pro$60/month
- 10 seats
- 100 GB storage
- Private projects
- Teams$179/month
- Team collaboration
- Advanced analytics
- Dedicated 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 Weights & Biases if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Python SDK, REST API.
- You also want dataset versioning.
Questions people ask
- Is Amazon Redshift ML or Weights & Biases better?
- Neither clearly leads. Amazon Redshift ML starts at Free and Weights & Biases at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Redshift ML or Weights & Biases?
- Amazon Redshift ML starts at Free and Weights & Biases at Free.
- Does Amazon Redshift ML or Weights & Biases run on more platforms?
- Amazon Redshift ML runs on Web. Weights & Biases runs on Web, Python SDK, REST API.
- 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 Weights & Biases is typically brought in for.
- What can Amazon Redshift ML do that Weights & Biases cannot?
- Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support. Weights & Biases covers Experiment tracking, Dataset versioning, Model registry, Hyperparameter sweeps. Both handle Web support.
Answered from the vendors’ own pages
Weights & Biases: Does Weights & Biases have a free plan?
Yes. The Free tier includes 5 model seats, 5 GB storage, and 1 GB/month Weave ingestion. Academic users get unlimited tracked hours, 200 GB storage, and 100 seats at no cost.
SourceWeights & Biases: What are the paid plans for Weights & Biases?
Pro starts at $60/month with 10 seats and 100 GB storage. Team plans start at $179/month. Enterprise pricing is custom.
SourceWeights & Biases: What machine learning features does W&B provide?
Weights & Biases captures hyperparameters, metrics, and model outputs automatically. Features include experiment tracking, interactive Reports for sharing findings, Artifacts for managing datasets and models, advanced hyperparameter sweeps, and model deployment tools.
SourceRelated pages
More on Amazon Redshift ML
More on Weights & Biases
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- Weights & Biases vs TensorFlow
- Weights & Biases vs Comet ML
- Weights & Biases vs Keras
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- Weights & Biases vs Dataiku
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