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Machine Learning · head to head

IBM SPSS vs Okta

IBM SPSS logo

IBM SPSS

Machine Learning

Statistical analysis software for data science

From
Free
Rated
-
Full reviewWebsite
Okta logo

Okta

Technology

The identity platform for builders

From
Free
Rated
-
Full reviewWebsite

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; Okta requires $1,500 annual minimum contract
  • They diverge on capability: IBM SPSS covers Statistical analysis, Okta covers Single sign-on (SSO).
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where IBM SPSS and Okta differ
AttributeIBM SPSSOkta
Pricing modelsubscriptionUnknown
PlatformsLinux, Mac, WindowsWeb, SaaS
CategoryMachine LearningTechnology
Founded19112009

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 Okta

  • Single sign-on (SSO)
  • Multi-factor authentication
  • Lifecycle management
  • Universal directory
  • API access management
  • B2B integration
  • Passwordless authentication
  • Adaptive MFA

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 Okta
  • Predictive modelling and forecasting without writing codenot Okta

Okta

  • Employee SSOnot IBM SPSS
  • Customer identitynot IBM SPSS
  • B2B integrationnot IBM SPSS
  • Zero Trust securitynot IBM SPSS
  • Compliancenot 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

Okta

  • Requires $1,500 annual minimum contract
  • Admin-only MFA can be vulnerable to push notification fatigue attacks
  • Implementation requires significant services and integration fees in year one

Pricing, plan by plan

IBM SPSS

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

Okta

Free
  • Starter Suite$6/user/month
    • SSO
    • MFA
    • Universal Directory
  • Core Essentials Suite$14/user/month
    • Adaptive MFA
    • Privileged Access
    • Lifecycle Management
  • Essentials Suite$17/user/month
    • Same as Core Essentials
    • Most popular
  • Professional Suite$undefined/custom
    • Device Access
    • Identity Security Posture
    • Threat Protection

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.
IBM SPSS review

Choose Okta if

  • You need single sign-on (sso).
  • You want to start without paying.
  • You work on Web, SaaS.
  • You also want multi-factor authentication.
Okta review

Questions people ask

Is IBM SPSS or Okta better?
Neither clearly leads. IBM SPSS starts at Free and Okta at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, IBM SPSS or Okta?
IBM SPSS starts at Free and Okta at Free.
Does IBM SPSS or Okta run on more platforms?
IBM SPSS runs on Linux, Mac, Windows. Okta runs on Web, SaaS.
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 Okta is typically brought in for.
What can IBM SPSS do that Okta cannot?
IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis. Okta covers Single sign-on (SSO), Multi-factor authentication, Lifecycle management, Universal directory.

Answered from the vendors’ own pages

Okta: What is the minimum contract for Okta Workforce Identity?

Okta requires a $1,500 annual minimum contract for Workforce Identity plans. Pricing starts at $6 per user per month (Starter) and ranges to $17 per user per month (Essentials), billed annually.

Source
Okta: Does Okta offer a free trial?

Yes, Okta provides a 30-day free trial so customers can explore all product capabilities before committing to a paid plan.

Source
Okta: How many pre-built integrations does Okta support?

Okta offers over 7,000 pre-built integrations with popular enterprise applications including Salesforce, Slack, Workday, Box, Confluence, and Zendesk.

Source
Okta: What security features does Okta provide for admins?

Okta provides multi-factor authentication, adaptive MFA, single logout, and identity threat detection and response. However, only 94% of Okta customers have MFA enabled for administrators.

Source
Okta: Can Okta integrate with on-premises directories?

Yes, Okta's Universal Directory and lifecycle management support cloud and on-premises identity sources, including Active Directory and LDAP.

Source
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