Machine Learning · head to head
IBM SPSS vs Neptune.ai

IBM SPSS
Machine Learning
Statistical analysis software for data science
- 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; Neptune.ai free tier limited to 100 hours per month, exhausted quickly with serious ML work
- They diverge on capability: IBM SPSS covers Statistical analysis, Neptune.ai covers Experiment tracking.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which IBM SPSS and Neptune.ai actually diverge.
| Attribute | IBM SPSS | Neptune.ai |
|---|---|---|
| Pricing model | subscription | Unknown |
| Platforms | Linux, Mac, Windows | Web, Self-hosted |
| Founded | 1911 | 2017 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning).
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 Neptune.ai
- Experiment tracking
- Model registry
- Metadata logging
- Comparison views
- Custom dashboards
- 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 Neptune.ai
- Predictive modelling and forecasting without writing codenot Neptune.ai
Neptune.ai
- Machine learningnot IBM SPSS
- Data analysisnot IBM SPSS
- Model trainingnot IBM SPSS
- Predictive analyticsnot 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
Neptune.ai
- Free tier limited to 100 hours per month, exhausted quickly with serious ML work
- Lacks hyperparameter sweeps compared to Weights and Biases
- No pipeline orchestration or broader MLOps lifecycle management
- Dashboard visualization limitations - automatic resizing affects visualization order and size
- Cloud-based SaaS only (as of last available service) requires internet connectivity
Pricing, plan by plan
IBM SPSS
Free- TrialFree
- 14-day trial
- Full features
- Base$99/month
- Core statistics
- Data management
Neptune.ai
FreeNo published plan breakdown. See the Neptune.ai review.
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 Neptune.ai if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Self-hosted.
- You also want model registry.
Questions people ask
- Is IBM SPSS or Neptune.ai better?
- Neither clearly leads. IBM SPSS starts at Free and Neptune.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, IBM SPSS or Neptune.ai?
- IBM SPSS starts at Free and Neptune.ai at Free.
- Does IBM SPSS or Neptune.ai run on more platforms?
- IBM SPSS runs on Linux, Mac, Windows. Neptune.ai runs on Web, Self-hosted.
- 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 Neptune.ai is typically brought in for.
- What can IBM SPSS do that Neptune.ai cannot?
- IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis. Neptune.ai covers Experiment tracking, Model registry, Metadata logging, Comparison views. Both handle Linux support, Mac support, Windows support.
Answered from the vendors’ own pages
Neptune.ai: Does Neptune.ai support self-hosting?
Yes. Neptune can be self-hosted on a Kubernetes cluster with ClickHouse, MySQL, and Redis dependencies, allowing organizations to maintain full data control.
SourceNeptune.ai: What machine learning frameworks does Neptune integrate with?
Neptune integrates with PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Hugging Face Transformers, and Optuna for hyperparameter optimization.
SourceNeptune.ai: What is the cost for a team of 10 data scientists?
Neptune's Team plan costs $49 per user per month, resulting in $490/month for 10 users, comparable to Weights and Biases at $50/user.
SourceNeptune.ai: When is Neptune.ai shutting down?
Neptune.ai is shutting down its external SaaS service on March 5, 2026, following its acquisition by OpenAI in December 2025. Customers must export and migrate data before that date.
SourceRelated pages
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- Neptune.ai vs MLflow
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- Neptune.ai vs ClearML
- Neptune.ai vs DVC
- Neptune.ai vs Kubeflow
- Neptune.ai vs H2O.ai
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- Neptune.ai vs Langwatch
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