Business Intelligence · head to head
Databox vs IBM SPSS

IBM SPSS
Machine Learning
Statistical analysis software for data science
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Databox data sources are the billing unit, and the $159 Pro plan still includes only 3 before charging $5.60 for each additional one; 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: Databox covers Pre-built Dashboards, IBM SPSS covers Statistical analysis.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Databox and IBM SPSS 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 Databox
- Pre-built Dashboards
- Goal Tracking
- Alerts
- Scorecards
- Mobile App
- HubSpot
- Google Analytics
Only in IBM SPSS
- Statistical analysis
- Predictive modeling
- Data visualization
- Survey analysis
- Decision trees
- Python
- R
- Excel
What people use each for
The jobs each tool is most often brought in to do.
Databox
- Building business dashboards from multiple SaaS data sourcesnot IBM SPSS
- Tracking KPIs and metrics across marketing, sales and finance toolsnot IBM SPSS
IBM SPSS
- Statistical testing and regression analysis for academic and market researchnot Databox
- Predictive modelling and forecasting without writing codenot Databox
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Databox
- Data sources are the billing unit, and the $159 Pro plan still includes only 3 before charging $5.60 for each additional one
- The $64 Analyst plan is capped at 5 data sources and a single user
- The free plan allows 3 data sources, 10 custom metrics and one user
- AI credits are metered monthly, from 50 on free to 4,000 on Growth
- Every published price assumes annual billing, with monthly costing 20% more
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
Databox
Free- FreeFree
- 3 data sources
- 1 user
- 1 dashboard/report
- Analyst$64/month
- 5 data sources
- 1 user
- Unlimited dashboards and reports
- Pro$159/month
- 3 included data sources (additional at $5.60/month)
- Unlimited users
- Unlimited dashboards, reports, custom metrics
- Growth$399/month
- 3 included data sources (additional at $5.60/month)
- Unlimited users
- All Pro features plus full datasets and forecasting
IBM SPSS
Free- TrialFree
- 14-day trial
- Full features
- Base$99/month
- Core statistics
- Data management
Which should you pick?
Choose Databox if
- You need pre-built dashboards.
- You want to start without paying.
- You work on Web, Mobile, Tv.
- You also want goal tracking.
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 Databox or IBM SPSS better?
- Neither clearly leads. Databox 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, Databox or IBM SPSS?
- Databox starts at Free and IBM SPSS at Free.
- Does Databox or IBM SPSS run on more platforms?
- Databox runs on Web, Mobile, Tv. IBM SPSS runs on Linux, Mac, Windows.
- Can I use Databox for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Databox best used for?
- Databox is most often used for building business dashboards from multiple saas data sources, tracking kpis and metrics across marketing, sales and finance tools. Of those, building business dashboards from multiple saas data sources and tracking kpis and metrics across marketing, sales and finance tools are not what IBM SPSS is typically brought in for.
- What can Databox do that IBM SPSS cannot?
- Databox covers Pre-built Dashboards, Goal Tracking, Alerts, Scorecards. IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis.
Answered from the vendors’ own pages
Databox: How much does Databox cost?
Databox is free for basic use with 3 data sources and 50 AI credits. Paid plans start at $64/month for the Analyst tier, $159/month for Pro, and $399/month for Growth (most popular). Prices shown are for annual billing; monthly billing costs more. Custom enterprise pricing is available.
SourceDatabox: What is the difference between Databox plans?
Free plan limits users to 1 with 3 data sources. Analyst tier allows 1 user with 5 data sources and API access. Pro tier adds unlimited users and hourly syncing. Growth tier (most popular) provides 15-minute sync, full forecasting, and a dedicated customer success manager.
SourceDatabox: How many users can I add to Databox plans?
Free and Analyst tiers are limited to 1 user. Pro, Growth, and Custom tiers offer unlimited users with no per-seat fees.
SourceRelated pages
Other head to heads
- Databox vs Power BI
- Databox vs Sisense
- Databox vs Amazon QuickSight
- Databox vs MicroStrategy
- Databox vs DashThis
- Databox vs Reportz
- Databox vs Klipfolio
- Databox vs Cyfe
- Databox vs Grow
- Databox vs Geckoboard
- Databox vs Zoho Analytics
- Databox vs ChartMogul
- Databox vs Rill Data
- Databox vs SAP BusinessObjects
- Databox vs Snowplow
- Databox vs Stripe Dashboard
- Databox vs TIBCO Spotfire
- Databox vs Azure Machine Learning
- Databox vs DataRobot
- Databox vs AWS SageMaker
- Databox vs Google Vertex AI
- Databox vs SAS
- Databox vs Stata
- Databox vs Palantir Foundry
- Databox vs Alteryx
- Databox vs Snowflake
- Databox vs Databricks
- Databox vs Dataiku
- Databox vs RapidMiner
- Databox vs Ray
- Databox vs Seldon
- Databox vs TensorBoard
- Databox vs Amazon Redshift ML
- Databox vs JMP
- IBM SPSS vs Power BI
- IBM SPSS vs Sisense
- IBM SPSS vs Amazon QuickSight
- IBM SPSS vs MicroStrategy
- IBM SPSS vs DashThis
- IBM SPSS vs Reportz
- IBM SPSS vs Klipfolio
- IBM SPSS vs Cyfe
- IBM SPSS vs Grow
- IBM SPSS vs Geckoboard
- IBM SPSS vs Zoho Analytics
- IBM SPSS vs ChartMogul
- IBM SPSS vs Rill Data
- IBM SPSS vs SAP BusinessObjects
- IBM SPSS vs Snowplow
- IBM SPSS vs Stripe Dashboard
- IBM SPSS vs TIBCO Spotfire
- 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

