Machine Learning · head to head
IBM SPSS vs Mode

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; Mode free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
- They diverge on capability: IBM SPSS covers Statistical analysis, Mode covers SQL Editor.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which IBM SPSS and Mode actually diverge.
Identical on both: starting price (Free), pricing model (subscription), free tier (Yes), user rating (Not yet rated).
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 Mode
- SQL Editor
- Python/R Notebooks
- Interactive Reports
- Version Control
- Scheduling
- Snowflake
- Redshift
- BigQuery
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 Mode
- Predictive modelling and forecasting without writing codenot Mode
Mode
- Self-service analyticsnot IBM SPSS
- Data explorationnot IBM SPSS
- Ad-hoc reportingnot IBM SPSS
- Collaborative analysisnot IBM SPSS
- Embedded 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
Mode
- Free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
- Requires SQL knowledge for most analysis tasks, creating dependency on technical resources
- Paid plan pricing not publicly listed; requires sales consultation
- Recently acquired by ThoughtSpot in 2026, creating product direction uncertainty
- Limited customization options for visual aspects and embedded analytics
Pricing, plan by plan
IBM SPSS
Free- TrialFree
- 14-day trial
- Full features
- Base$99/month
- Core statistics
- Data management
Mode
Free- FreeFree
- SQL Editor
- Python/R Notebooks
- Basic Charts
- Business$65/month
- Advanced Visualizations
- Collaboration
- Integrations
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 Mode if
- You need sql editor.
- You want to start without paying.
- You also want python/r notebooks.
Questions people ask
- Is IBM SPSS or Mode better?
- Neither clearly leads. IBM SPSS starts at Free and Mode at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, IBM SPSS or Mode?
- IBM SPSS starts at Free and Mode at Free.
- Does IBM SPSS or Mode run on more platforms?
- IBM SPSS runs on Linux, Mac, Windows. Mode 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 Mode is typically brought in for.
- What can IBM SPSS do that Mode cannot?
- IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis. Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control.
Answered from the vendors’ own pages
Mode: What languages does Mode support for analysis?
Mode notebooks support SQL, Python (3.11 with pandas, NumPy, scikit-learn, matplotlib), and R (4.2.0 with ggplot2, dplyr, tidyr). Both Python and R allow additional library installation at runtime.
SourceMode: Can I integrate Mode notebook results into reports?
Yes. Mode allows adding notebook cell results directly to reports, with synchronized scheduling so reports re-run to keep data current.
SourceMode: Does Mode support collaborative analysis?
Yes. Mode notebooks provide moveable code blocks and markdown cells enabling exploratory analysis and team collaboration on data queries and visualizations.
SourceRelated pages
Other head to heads
- IBM SPSS vs Azure Machine Learning
- IBM SPSS vs DataRobot
- IBM SPSS vs AWS SageMaker
- IBM SPSS vs Google Vertex AI
- IBM SPSS vs SAS
- IBM SPSS vs Stata
- IBM SPSS vs Palantir Foundry
- IBM SPSS vs Alteryx
- IBM SPSS vs Snowflake
- IBM SPSS vs Databricks
- IBM SPSS vs Dataiku
- IBM SPSS vs RapidMiner
- IBM SPSS vs Ray
- IBM SPSS vs Seldon
- IBM SPSS vs TensorBoard
- IBM SPSS vs Amazon Redshift ML
- IBM SPSS vs JMP
- IBM SPSS vs Periscope Data
- IBM SPSS vs Domo
- IBM SPSS vs Fabi
- IBM SPSS vs Deepnote
- IBM SPSS vs Yellowfin
- IBM SPSS vs TIBCO Spotfire
- IBM SPSS vs Hex
- IBM SPSS vs GoodData
- IBM SPSS vs Grow
- IBM SPSS vs Qlik Sense
- IBM SPSS vs Databox
- IBM SPSS vs Cube
- IBM SPSS vs Jedox
- IBM SPSS vs Logi Analytics
- IBM SPSS vs Luzmo
- IBM SPSS vs NetBase Quid
- IBM SPSS vs Phocas
- IBM SPSS vs Preset
- Mode vs Azure Machine Learning
- Mode vs DataRobot
- Mode vs AWS SageMaker
- Mode vs Google Vertex AI
- Mode vs SAS
- Mode vs Stata
- Mode vs Palantir Foundry
- Mode vs Alteryx
- Mode vs Snowflake
- Mode vs Databricks
- Mode vs Dataiku
- Mode vs RapidMiner
- Mode vs Ray
- Mode vs Seldon
- Mode vs TensorBoard
- Mode vs Amazon Redshift ML
- Mode vs JMP
- Mode vs Periscope Data
- Mode vs Domo
- Mode vs Fabi
- Mode vs Deepnote
- Mode vs Yellowfin
- Mode vs TIBCO Spotfire
- Mode vs Hex
- Mode vs GoodData
- Mode vs Grow
- Mode vs Qlik Sense
- Mode vs Databox
- Mode vs Cube
- Mode vs Jedox
- Mode vs Logi Analytics
- Mode vs Luzmo
- Mode vs NetBase Quid
- Mode vs Phocas
- Mode vs Preset

