Machine Learning · head to head
IBM SPSS vs Vellum

IBM SPSS
Machine Learning
Statistical analysis software for data science
- From
- Free
- Free plan
- Yes

Vellum
AI
Personalized AI assistant with persistent memory and autonomous action-taking
- From
- Free
- Free plan
- Yes
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; Vellum pricing varies significantly by computational tier, making budget planning difficult
- They diverge on capability: IBM SPSS covers Statistical analysis, Vellum covers Persistent AI identity.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which IBM SPSS and Vellum actually diverge.
Identical on both: starting price (Free), 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 Vellum
- Persistent AI identity
- Long-term memory
- Email automation
- Calendar management
- Autonomous task execution
- Multi-device synchronization
- Custom plugins
- Open-source deployment
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 Vellum
- Predictive modelling and forecasting without writing codenot Vellum
Vellum
- Personal productivity automation across email and calendarnot IBM SPSS
- CRM updates and pipeline managementnot IBM SPSS
- Expense report generation and managementnot IBM SPSS
- Document drafting and content creationnot IBM SPSS
- Meeting scheduling and calendar coordinationnot 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
Vellum
- Pricing varies significantly by computational tier, making budget planning difficult
- Requires explicit permission for sensitive actions, limiting autonomy
- Self-hosting option may intimidate non-technical users
- Learning curve to develop customizations with plugins
Pricing, plan by plan
IBM SPSS
Free- TrialFree
- 14-day trial
- Full features
- Base$99/month
- Core statistics
- Data management
Vellum
Free- FreeFree
- Starter credits included
- Basic features
- Mighty$30/month
- 1 vCPU, 2 GiB RAM
- 10 GB storage
- Included usage allowance
- Super$100/month
- 2.5 vCPU, 5 GiB RAM
- 30 GB storage
- Assistant email and subdomain
- Ultra$200/month
- 4 vCPU, 8 GiB RAM
- 60 GB storage
- Assistant email and subdomain
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 Vellum if
- You need persistent ai identity.
- You want to start without paying.
- You work on Web, macOS, iOS, Slack, Telegram, Terminal.
- You also want long-term memory.
Questions people ask
- Is IBM SPSS or Vellum better?
- Neither clearly leads. IBM SPSS starts at Free and Vellum at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, IBM SPSS or Vellum?
- IBM SPSS starts at Free and Vellum at Free.
- Does IBM SPSS or Vellum run on more platforms?
- IBM SPSS runs on Linux, Mac, Windows. Vellum runs on Web, macOS, iOS, Slack, Telegram, Terminal.
- 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 Vellum is typically brought in for.
- What can IBM SPSS do that Vellum cannot?
- IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis. Vellum covers Persistent AI identity, Long-term memory, Email automation, Calendar management.
Answered from the vendors’ own pages
Vellum: How does Vellum protect my data privacy?
Vellum uses permission-based controls requiring explicit approval for sensitive actions. Data is encrypted and the option for self-hosting provides complete data control. Open-source deployment option allows hosting on your own infrastructure.
SourceVellum: Can I use Vellum for business team collaboration?
Vellum is primarily designed as a personal assistant with persistent identity. For team collaboration, platforms like Lindy offer better multi-user features with shared credit pools and Slack workspace integration.
SourceVellum: What does the free tier include?
Vellum offers free starter credits to begin using the platform. Beyond that, it operates on a pay-as-you-go credit model with paid tiers starting at $30/month for increased computational resources and bundled credits.
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 KNIME
- IBM SPSS vs LangChain
- IBM SPSS vs Pinecone
- IBM SPSS vs JMP
- IBM SPSS vs Lindy
- IBM SPSS vs Copilotly
- IBM SPSS vs Gumloop
- IBM SPSS vs ChatGPT
- IBM SPSS vs Wordtune
- IBM SPSS vs Replika
- IBM SPSS vs Manus
- IBM SPSS vs Deepgram
- IBM SPSS vs Cartesia
- IBM SPSS vs Tabnine
- IBM SPSS vs D-ID
- IBM SPSS vs Fathom
- IBM SPSS vs Rytr
- IBM SPSS vs Sourcegraph Cody
- IBM SPSS vs Verbit
- IBM SPSS vs Adobe Firefly
- Vellum vs Azure Machine Learning
- Vellum vs DataRobot
- Vellum vs AWS SageMaker
- Vellum vs Google Vertex AI
- Vellum vs SAS
- Vellum vs Stata
- Vellum vs Palantir Foundry
- Vellum vs Alteryx
- Vellum vs Snowflake
- Vellum vs Databricks
- Vellum vs Dataiku
- Vellum vs KNIME
- Vellum vs LangChain
- Vellum vs Pinecone
- Vellum vs JMP
- Vellum vs Lindy
- Vellum vs Copilotly
- Vellum vs Gumloop
- Vellum vs ChatGPT
- Vellum vs Wordtune
- Vellum vs Replika
- Vellum vs Manus
- Vellum vs Deepgram
- Vellum vs Cartesia
- Vellum vs Tabnine
- Vellum vs D-ID
- Vellum vs Fathom
- Vellum vs Rytr
- Vellum vs Sourcegraph Cody
- Vellum vs Verbit
- Vellum vs Adobe Firefly
