Software · head to head
IBM SPSS vs Amazon Redshift ML
The short version
- Each has a real cost: IBM SPSS add-on packages are priced separately from the base subscription, and the promotional 45% discount on them excludes renewals; 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: IBM SPSS covers Statistical analysis, Amazon Redshift ML covers SQL-based ML.
Where they differ
Only the attributes on which IBM SPSS and Amazon Redshift ML actually diverge.
| Attribute | IBM SPSS | Amazon Redshift ML |
|---|---|---|
| Pricing model | subscription | usage-based |
| Platforms | Linux, Mac, Windows | Web |
| Founded | 1911 | 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 IBM SPSS
- Statistical analysis
- Predictive modeling
- Data visualization
- Survey analysis
- Decision trees
- Python
- R
- Excel
Only in Amazon Redshift ML
- SQL-based ML
- AutoML
- SageMaker integration
- BYOM support
- In-database predictions
- Amazon Redshift
- SageMaker
- S3
What people use each for
The jobs each tool is most often brought in to do.
IBM SPSS
- Statistical testing and regression analysis for academic and market researchnot Amazon Redshift ML
- Predictive modelling and forecasting without writing codenot Amazon Redshift ML
Amazon Redshift ML
- Training and running machine learning models directly from SQL inside Amazon Redshiftnot IBM SPSS
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
IBM SPSS
- Add-on packages are priced separately from the base subscription, and the promotional 45% discount on them excludes renewals
- Subscription cost renews at the then current price at the end of the first year, so the advertised rate applies to the first term only
- Prices shown are described by IBM as indicative, vary by country and exclude applicable taxes and duties
- Extended access periods of 12 months or more are handled as tailored pricing rather than a published rate
- Advanced statistics, custom tables, decision trees and forecasting are separate add-ons rather than part of the base product
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
IBM SPSS
Free- TrialFree
- 14-day trial
- Full features
- Base$99/month
- Core statistics
- Data management
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 IBM SPSS if
- You need statistical analysis.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want predictive modeling.
Choose Amazon Redshift ML if
- You need sql-based ml.
- You want to start without paying.
- You also want automl.
Questions people ask
- Is IBM SPSS or Amazon Redshift ML better?
- Neither clearly leads. IBM SPSS 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, IBM SPSS or Amazon Redshift ML?
- IBM SPSS starts at Free and Amazon Redshift ML at Free.
- Does IBM SPSS or Amazon Redshift ML run on more platforms?
- IBM SPSS runs on Linux, Mac, Windows. Amazon Redshift ML runs on Web.
- Can I use IBM SPSS for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is IBM SPSS best used for?
- IBM SPSS is most often used for statistical testing and regression analysis for academic and market research, predictive modelling and forecasting without writing code. Of those, statistical testing and regression analysis for academic and market research and predictive modelling and forecasting without writing code are not what Amazon Redshift ML is typically brought in for.
- What can IBM SPSS do that Amazon Redshift ML cannot?
- IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis. Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support.
Related pages
More on Amazon Redshift ML
Keep looking
Other head to heads
- IBM SPSS vs AWS SageMaker
- IBM SPSS vs Google Vertex AI
- IBM SPSS vs Azure Machine Learning
- IBM SPSS vs DataRobot
- IBM SPSS vs Snowflake
- IBM SPSS vs TensorFlow
- IBM SPSS vs Comet ML
- IBM SPSS vs Keras
- IBM SPSS vs MLflow
- IBM SPSS vs Jupyter
- IBM SPSS vs PyTorch
- IBM SPSS vs scikit-learn
- IBM SPSS vs Apache Spark MLlib
- IBM SPSS vs Weights & Biases
- IBM SPSS vs Alteryx
- IBM SPSS vs Anaconda
- IBM SPSS vs Databricks
- IBM SPSS vs Dataiku
- Amazon Redshift ML vs AWS SageMaker
- 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 Alteryx
- Amazon Redshift ML vs Anaconda
- Amazon Redshift ML vs Databricks
- Amazon Redshift ML vs Dataiku


