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

Amazon Redshift ML
Machine Learning & Data Science
Create machine learning models using SQL
- 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; Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
- They diverge on capability: Amazon Redshift ML covers SQL-based ML, Alteryx covers Data preparation.
Where they differ
Only the attributes on which Amazon Redshift ML and Alteryx actually diverge.
| Attribute | Amazon Redshift ML | Alteryx |
|---|---|---|
| Pricing model | usage-based | subscription |
| Platforms | Web | Windows, Web |
| Founded | 2006 | 1997 |
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 Alteryx
- Data preparation
- Data blending
- Predictive analytics
- Spatial analytics
- Reporting
- Python
- R
- Snowflake
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 Alteryx
Alteryx
- Data preparation and building AI-ready datasetsnot Amazon Redshift ML
- Predictive analytics without writing codenot Amazon Redshift ML
- Automating and orchestrating repeatable analytics workflowsnot Amazon Redshift ML
- Enterprise reporting with governed, reusable logicnot Amazon Redshift ML
- Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot 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
Alteryx
- Starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
- Automation runs are metered, with 50 included on Starter and 15,000 on Professional, and more must be bought
- Cost depends on three separate dimensions at once: edition, user role and automation capacity
- Advanced analytics, governance and orchestration are withheld from the entry edition
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
Alteryx
Free- TrialFree
- 14-day trial
- Full features
- Designer Desktop$5195/year
- Data prep
- Blending
- Analytics
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 Alteryx if
- You need data preparation.
- You want to start without paying.
- You work on Windows, Web.
- You also want data blending.
Questions people ask
- Is Amazon Redshift ML or Alteryx better?
- Neither clearly leads. Amazon Redshift ML starts at Free and Alteryx at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Redshift ML or Alteryx?
- Amazon Redshift ML starts at Free and Alteryx at Free.
- Does Amazon Redshift ML or Alteryx run on more platforms?
- Amazon Redshift ML runs on Web. Alteryx runs on Windows, Web.
- 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 Alteryx is typically brought in for.
- What can Amazon Redshift ML do that Alteryx cannot?
- Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support. Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. Both handle Web support.
Related pages
More on Amazon Redshift ML
Other head to heads
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- Amazon Redshift ML vs Google Vertex AI
- Amazon Redshift ML vs Azure Machine Learning
- Amazon Redshift ML vs DataRobot
- Amazon Redshift ML vs Snowflake
- Amazon Redshift ML vs TensorFlow
- Amazon Redshift ML vs Comet ML
- Amazon Redshift ML vs Keras
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- Amazon Redshift ML vs Jupyter
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- Amazon Redshift ML vs scikit-learn
- Amazon Redshift ML vs Apache Spark MLlib
- Amazon Redshift ML vs Weights & Biases
- Amazon Redshift ML vs Anaconda
- Amazon Redshift ML vs Databricks
- Amazon Redshift ML vs Dataiku
- Amazon Redshift ML vs DVC
- Alteryx vs AWS SageMaker
- Alteryx vs Google Vertex AI
- Alteryx vs Azure Machine Learning
- Alteryx vs DataRobot
- Alteryx vs Snowflake
- Alteryx vs TensorFlow
- Alteryx vs Comet ML
- Alteryx vs Keras
- Alteryx vs MLflow
- Alteryx vs Jupyter
- Alteryx vs PyTorch
- Alteryx vs scikit-learn
- Alteryx vs Apache Spark MLlib
- Alteryx vs Weights & Biases
- Alteryx vs Anaconda
- Alteryx vs Databricks
- Alteryx vs Dataiku
- Alteryx vs DVC

