Software · head to head
IBM SPSS vs Comet ML

Comet ML
Software
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
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; Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention
- They diverge on capability: IBM SPSS covers Statistical analysis, Comet ML covers Experiment tracking.
Where they differ
Only the attributes on which IBM SPSS and Comet ML actually diverge.
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 Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
Both cover
- Linux support
- Mac support
- Windows support
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 Comet ML
- Predictive modelling and forecasting without writing codenot Comet ML
Comet ML
- Tracking machine learning experiments, metrics and model versionsnot IBM SPSS
- Monitoring and evaluating LLM applications with tracingnot 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
Comet ML
- The free cloud tier caps data at 25,000 spans a month with 60 day retention
- Retention stays at 60 days even on the paid Pro plan, and extending it is a $29 per 100k spans add on
- Overage on Pro is $5 per additional 100,000 spans
- The free MLOps tier is a single user with 100 GB of storage and training hours governed by a fair usage policy
- Pro MLOps is $19 per user per month and caps the team at 10 users
Pricing, plan by plan
IBM SPSS
Free- TrialFree
- 14-day trial
- Full features
- Base$99/month
- Core statistics
- Data management
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
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 Comet ML if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Linux, Mac, Windows.
- You also want code versioning.
Questions people ask
- Is IBM SPSS or Comet ML better?
- Neither clearly leads. IBM SPSS starts at Free and Comet ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, IBM SPSS or Comet ML?
- IBM SPSS starts at Free and Comet ML at Free.
- Does IBM SPSS or Comet ML run on more platforms?
- IBM SPSS runs on Linux, Mac, Windows. Comet ML runs on Web, Linux, Mac, Windows.
- 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 Comet ML is typically brought in for.
- What can IBM SPSS do that Comet ML cannot?
- IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis. Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Both handle Linux support, Mac support, Windows support.
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