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

Amazon Redshift ML
Machine Learning & Data Science
Create machine learning models using SQL
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only; 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
- They diverge on capability: Alteryx covers Data preparation, Amazon Redshift ML covers SQL-based ML.
Where they differ
Only the attributes on which Alteryx and Amazon Redshift ML actually diverge.
| Attribute | Alteryx | Amazon Redshift ML |
|---|---|---|
| Pricing model | subscription | usage-based |
| Platforms | Windows, Web | Web |
| Founded | 1997 | 2006 |
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 Alteryx
- Data preparation
- Data blending
- Predictive analytics
- Spatial analytics
- Reporting
- Python
- R
- Snowflake
Only in Amazon Redshift ML
- SQL-based ML
- AutoML
- SageMaker integration
- BYOM support
- In-database predictions
- Amazon Redshift
- SageMaker
- S3
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
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
Amazon Redshift ML
- Training and running machine learning models directly from SQL inside Amazon Redshiftnot Alteryx
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
Pricing, plan by plan
Alteryx
Free- TrialFree
- 14-day trial
- Full features
- Designer Desktop$5195/year
- Data prep
- Blending
- Analytics
Amazon Redshift ML
Free- Free TrialFree
- 2-month trial
- 750 DC2.Large hours
- On-Demand$0.25/hour
- Per-node pricing
- SageMaker training
Which should you pick?
Choose Alteryx if
- You need data preparation.
- You want to start without paying.
- You work on Windows, Web.
- You also want data blending.
Choose Amazon Redshift ML if
- You need sql-based ml.
- You want to start without paying.
- You also want automl.
Questions people ask
- Is Alteryx or Amazon Redshift ML better?
- Neither clearly leads. Alteryx starts at Free and Amazon Redshift ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Alteryx or Amazon Redshift ML?
- Alteryx starts at Free and Amazon Redshift ML at Free.
- Does Alteryx or Amazon Redshift ML run on more platforms?
- Alteryx runs on Windows, Web. Amazon Redshift ML runs on Web.
- Can I use Alteryx for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Alteryx best used for?
- Alteryx is most often used for data preparation and building ai-ready datasets, predictive analytics without writing code, automating and orchestrating repeatable analytics workflows, enterprise reporting with governed, reusable logic. Of those, data preparation and building ai-ready datasets and predictive analytics without writing code are not what Amazon Redshift ML is typically brought in for.
- What can Alteryx do that Amazon Redshift ML cannot?
- Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support. Both handle Web support.
Related pages
More on Amazon Redshift ML
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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
- Amazon Redshift ML vs MLflow
- Amazon Redshift ML vs Jupyter
- Amazon Redshift ML vs PyTorch
- 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

