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DVC vs IBM SPSS

DVC logo

DVC

Software

Data version control for machine learning projects

From
Free
Rated
-
IBM SPSS logo

IBM SPSS

Software

Statistical analysis software for data science

From
Free
Rated
-

The short version

  • Each has a real cost: DVC dVC is Apache 2.0 licensed open source with no enterprise tier or paid support offering documented in the project itself; teams needing SLA-backed support get nothing from the DVC project directly.; 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: DVC covers Data versioning, IBM SPSS covers Statistical analysis.

Where they differ

Only the attributes on which DVC and IBM SPSS actually diverge.

Attributes where DVC and IBM SPSS differ
AttributeDVCIBM SPSS
Pricing modelopen-sourcesubscription
Founded20181911

Identical on both: starting price (Free), free tier (Yes), platforms (Linux, Mac, Windows), user rating (Not yet rated), category (Unknown).

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 DVC

  • Data versioning
  • Pipeline management
  • Experiment tracking
  • Remote storage
  • Git integration
  • Git
  • S3
  • Azure Blob

Only in IBM SPSS

  • Statistical analysis
  • Predictive modeling
  • Data visualization
  • Survey analysis
  • Decision trees
  • Python
  • R
  • Excel

Both cover

  • Linux support
  • Mac support
  • Windows support

What people use each for

The jobs each tool is most often brought in to do.

DVC

  • Machine learningnot IBM SPSS
  • Data analysisnot IBM SPSS
  • Model trainingnot IBM SPSS
  • Predictive analyticsnot IBM SPSS

IBM SPSS

  • Statistical testing and regression analysis for academic and market researchnot DVC
  • Predictive modelling and forecasting without writing codenot DVC

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DVC

  • DVC is Apache 2.0 licensed open source with no enterprise tier or paid support offering documented in the project itself; teams needing SLA-backed support get nothing from the DVC project directly.

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

DVC

Free
  • Open SourceFree
    • Data versioning
    • Pipeline management
    • Experiment tracking
  • DVC StudioFree
    • Web UI
    • Team collaboration
    • Visualizations

IBM SPSS

Free
  • TrialFree
    • 14-day trial
    • Full features
  • Base$99/month
    • Core statistics
    • Data management

Which should you pick?

Choose DVC if

  • You need data versioning.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want pipeline management.

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 DVC or IBM SPSS better?
Neither clearly leads. DVC 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, DVC or IBM SPSS?
DVC starts at Free and IBM SPSS at Free.
Does DVC or IBM SPSS run on more platforms?
Both run on Linux, Mac, Windows, so platform support will not decide this one for you.
Can I use DVC for free?
Both have a free tier, so you can try either at no cost before committing.
What is DVC best used for?
DVC is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what IBM SPSS is typically brought in for.
What can DVC do that IBM SPSS cannot?
DVC covers Data versioning, Pipeline management, Experiment tracking, Remote storage. IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis. Both handle Linux support, Mac support, Windows support.

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