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Machine Learning & Data Science · head to head

Amazon Redshift ML vs IBM SPSS

Amazon Redshift ML logo

Amazon Redshift ML

Machine Learning & Data Science

Create machine learning models using SQL

From
Free
Rated
-
Full reviewWebsite
IBM SPSS logo

IBM SPSS

Machine Learning & Data Science

Statistical analysis software for data science

From
Free
Rated
-
Full reviewWebsite

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; IBM SPSS add-on packages are priced separately from the base subscription, and the promotional 45% discount on them excludes renewals
  • They diverge on capability: Amazon Redshift ML covers SQL-based ML, IBM SPSS covers Statistical analysis.

Where they differ

Only the attributes on which Amazon Redshift ML and IBM SPSS actually diverge.

Attributes where Amazon Redshift ML and IBM SPSS differ
AttributeAmazon Redshift MLIBM SPSS
Pricing modelusage-basedsubscription
PlatformsWebLinux, Mac, Windows
Founded20061911

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 IBM SPSS

  • Statistical analysis
  • Predictive modeling
  • Data visualization
  • Survey analysis
  • Decision trees
  • Python
  • R
  • Excel

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 IBM SPSS

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

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

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

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

IBM SPSS

Free
  • TrialFree
    • 14-day trial
    • Full features
  • Base$99/month
    • Core statistics
    • Data management

Which should you pick?

Choose Amazon Redshift ML if

  • You need sql-based ml.
  • You want to start without paying.
  • You also want automl.
Amazon Redshift ML review

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.
IBM SPSS review

Questions people ask

Is Amazon Redshift ML or IBM SPSS better?
Neither clearly leads. Amazon Redshift ML starts at Free and IBM SPSS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Redshift ML or IBM SPSS?
Amazon Redshift ML starts at Free and IBM SPSS at Free.
Does Amazon Redshift ML or IBM SPSS run on more platforms?
Amazon Redshift ML runs on Web. IBM SPSS runs on 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 IBM SPSS is typically brought in for.
What can Amazon Redshift ML do that IBM SPSS cannot?
Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support. IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis.
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