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Okta vs Apache Spark MLlib

Okta logo

Okta

Software

The identity platform for builders

From
Free
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Software

Scalable machine learning on Apache Spark

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Okta requires $1,500 annual minimum contract; Apache Spark MLlib apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.
  • They diverge on capability: Okta covers Single sign-on (SSO), Apache Spark MLlib covers Classification.

Where they differ

Only the attributes on which Okta and Apache Spark MLlib actually diverge.

Attributes where Okta and Apache Spark MLlib differ
AttributeOktaApache Spark MLlib
Pricing modelUnknownopen-source
PlatformsWeb, SaaSLinux, macOS, Windows
Founded20091999

Identical on both: starting price (Free), free tier (Yes), 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 Okta

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

Only in Apache Spark MLlib

  • Classification
  • Regression
  • Clustering
  • Collaborative filtering
  • Feature engineering
  • Apache Spark
  • Hadoop
  • Kafka

What people use each for

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

Okta

  • Employee SSOnot Apache Spark MLlib
  • Customer identitynot Apache Spark MLlib
  • B2B integrationnot Apache Spark MLlib
  • Zero Trust securitynot Apache Spark MLlib
  • Compliancenot Apache Spark MLlib

Apache Spark MLlib

  • Large-scale distributed machine learning on Spark clustersnot Okta
  • Classification and regression with decision trees, random forests, gradient-boosted treesnot Okta
  • Clustering with K-means and Gaussian Mixture Modelsnot Okta

Where each one falls short

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

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

Apache Spark MLlib

  • Apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.

Pricing, plan by plan

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$17/user/month
    • Same as Core Essentials
    • Most popular
  • Professional Suite$null/custom
    • Device Access
    • Identity Security Posture
    • Threat Protection

Apache Spark MLlib

Free

No published plan breakdown. See the Apache Spark MLlib review.

Which should you pick?

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

Choose Apache Spark MLlib if

  • You need classification.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want regression.
Apache Spark MLlib review

Questions people ask

Is Okta or Apache Spark MLlib better?
Neither clearly leads. Okta starts at Free and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Okta or Apache Spark MLlib?
Okta starts at Free and Apache Spark MLlib at Free.
Does Okta or Apache Spark MLlib run on more platforms?
Okta runs on Web, SaaS. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Okta for free?
Both have a free tier, so you can try either at no cost before committing.
What is Okta best used for?
Okta is most often used for employee sso, customer identity, b2b integration, zero trust security. Of those, employee sso and customer identity are not what Apache Spark MLlib is typically brought in for.
What can Okta do that Apache Spark MLlib cannot?
Okta covers Single sign-on (SSO), Multi-factor authentication, Lifecycle management, Universal directory. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

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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