Software · head to head
Google Vertex AI vs IBM SPSS

Google Vertex AI
Software
Unified ML platform to build, deploy, and scale AI models
- From
- On request
- Rated
- -
The short version
- Only IBM SPSS has a free tier, so it costs nothing to try first.
- Each has a real cost: Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult; 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: Google Vertex AI covers AutoML, IBM SPSS covers Statistical analysis.
Where they differ
Only the attributes on which Google Vertex AI and IBM SPSS actually diverge.
| Attribute | Google Vertex AI | IBM SPSS |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | Unknown | subscription |
| Free tier | No | Yes |
| Platforms | Cloud, Web | Linux, Mac, Windows |
| Founded | 2008 | 1911 |
Identical on both: 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 Google Vertex AI
- AutoML
- Custom training
- Feature Store
- Model monitoring
- Prediction serving
- BigQuery
- Cloud Storage
- TensorFlow
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.
Google Vertex AI
- Machine learningnot IBM SPSS
- Data analysisnot IBM SPSS
- Model trainingnot IBM SPSS
- Predictive analyticsnot IBM SPSS
IBM SPSS
- Statistical testing and regression analysis for academic and market researchnot Google Vertex AI
- Predictive modelling and forecasting without writing codenot Google Vertex AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Google Vertex AI
- Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
- Requires familiarity with Google Cloud Platform infrastructure and concepts
- Cost can escalate quickly with large training and inference workloads
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
Google Vertex AI
On requestNo published plan breakdown. See the Google Vertex AI review.
IBM SPSS
Free- TrialFree
- 14-day trial
- Full features
- Base$99/month
- Core statistics
- Data management
Which should you pick?
Choose Google Vertex AI if
- You need automl.
- You work on Cloud, Web.
- You also want custom training.
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.
Questions people ask
- Is Google Vertex AI or IBM SPSS better?
- Neither clearly leads. Google Vertex AI starts at On request and IBM SPSS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Vertex AI or IBM SPSS?
- IBM SPSS has a free tier; the other does not. Paid plans start at On request for Google Vertex AI and Free for IBM SPSS.
- Does Google Vertex AI or IBM SPSS run on more platforms?
- Google Vertex AI runs on Cloud, Web. IBM SPSS runs on Linux, Mac, Windows.
- Can I use IBM SPSS for free?
- Yes. IBM SPSS has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
- What is Google Vertex AI best used for?
- Google Vertex AI is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what IBM SPSS is typically brought in for.
- What can Google Vertex AI do that IBM SPSS cannot?
- Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis.
Answered from the vendors’ own pages
Google Vertex AI: What is the pricing model for Google Vertex AI?
Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.
SourceGoogle Vertex AI: What types of data can Vertex AI handle?
Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.
SourceGoogle Vertex AI: Does Vertex AI support custom model training?
Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.
SourceGoogle Vertex AI: What deployment options are available in Vertex AI?
Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.
SourceRelated pages
More on Google Vertex AI
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