Machine Learning & Data Science · head to head
Dataiku vs IBM SPSS
Dataiku
Machine Learning & Data Science
Everyday AI, Extraordinary People
- From
- Free
- Rated
- -
IBM SPSS
Machine Learning & Data Science
Statistical analysis software for data science
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; 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: Dataiku covers Visual data prep, IBM SPSS covers Statistical analysis.
Where they differ
Only the attributes on which Dataiku and IBM SPSS actually diverge.
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 Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- Spark
- Snowflake
- Databricks
Only in IBM SPSS
- Statistical analysis
- Predictive modeling
- Data visualization
- Survey analysis
- Decision trees
- Excel
- SQL databases
Both cover
- Python
- R
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Dataiku
- Building and deploying data science and machine learning pipelinesnot IBM SPSS
- Giving analysts and data scientists a shared visual and code environmentnot IBM SPSS
IBM SPSS
- Statistical testing and regression analysis for academic and market researchnot Dataiku
- Predictive modelling and forecasting without writing codenot Dataiku
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dataiku
- No pricing is published at any tier, and the plans page carries no figures at all
- User, row and compute limits are not stated, so nothing about scale can be assessed before contacting sales
- Access begins with a demo request or a trial rather than a self serve signup
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
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
IBM SPSS
Free- TrialFree
- 14-day trial
- Full features
- Base$99/month
- Core statistics
- Data management
Which should you pick?
Choose Dataiku if
- You need visual data prep.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want automl.
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 Dataiku or IBM SPSS better?
- Neither clearly leads. Dataiku 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, Dataiku or IBM SPSS?
- Dataiku starts at Free and IBM SPSS at Free.
- Does Dataiku or IBM SPSS run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. IBM SPSS runs on Linux, Mac, Windows.
- Can I use Dataiku for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Dataiku best used for?
- Dataiku is most often used for building and deploying data science and machine learning pipelines, giving analysts and data scientists a shared visual and code environment. Of those, building and deploying data science and machine learning pipelines and giving analysts and data scientists a shared visual and code environment are not what IBM SPSS is typically brought in for.
- What can Dataiku do that IBM SPSS cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis. Both handle Python, R, Linux support, Mac support.