Softwr

Software · head to head

IBM SPSS vs BigQuery ML

IBM SPSS logo

IBM SPSS

Software

Statistical analysis software for data science

From
Free
Rated
-
Full reviewWebsite
BigQuery ML logo

BigQuery ML

Software

Machine learning in BigQuery using SQL

From
Free
Rated
-
Full reviewWebsite

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; BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it
  • They diverge on capability: IBM SPSS covers Statistical analysis, BigQuery ML covers SQL-based ML.

Where they differ

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

Attributes where IBM SPSS and BigQuery ML differ
AttributeIBM SPSSBigQuery ML
Pricing modelsubscriptionusage-based
PlatformsLinux, Mac, WindowsWeb
Founded19112008

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 BigQuery ML

  • SQL-based ML
  • AutoML Tables
  • Model export
  • Prediction functions
  • Feature preprocessing
  • BigQuery
  • Vertex AI
  • TensorFlow

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 BigQuery ML
  • Predictive modelling and forecasting without writing codenot BigQuery ML

BigQuery ML

  • Training models in SQL without exporting datanot IBM SPSS
  • Linear and logistic regression on warehouse datanot IBM SPSS
  • K-means clustering and matrix factorisation for recommendationsnot IBM SPSS
  • Time series forecasting with ARIMA_PLUSnot IBM SPSS
  • Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot 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

BigQuery ML

  • Not available in BigQuery's Standard edition, so the cheapest tier cannot use it
  • Billed through BigQuery compute and storage rather than as its own product, so training cost tracks data scanned
  • Remote models incur extra Agent Platform charges on top
  • Externally trained model types such as boosted trees and AutoML run through Agent Platform rather than inside BigQuery

Pricing, plan by plan

IBM SPSS

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

BigQuery ML

Free
  • Free TierFree
    • 10GB storage
    • 1TB queries
  • On-Demand$5/TB
    • Pay per TB scanned
    • ML training costs

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.
IBM SPSS review

Choose BigQuery ML if

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

Questions people ask

Is IBM SPSS or BigQuery ML better?
Neither clearly leads. IBM SPSS starts at Free and BigQuery ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, IBM SPSS or BigQuery ML?
IBM SPSS starts at Free and BigQuery ML at Free.
Does IBM SPSS or BigQuery ML run on more platforms?
IBM SPSS runs on Linux, Mac, Windows. BigQuery 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 BigQuery ML is typically brought in for.
What can IBM SPSS do that BigQuery ML cannot?
IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis. BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions.
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on IBM SPSS

More on BigQuery ML

Keep looking

Other head to heads