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Education & E-Learning · head to head

Articulate 360 vs Apache Spark MLlib

Articulate 360 logo

Articulate 360

Education & E-Learning

The complete e-learning authoring solution

From
On request
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Machine Learning & Data Science

Scalable machine learning on Apache Spark

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Apache Spark MLlib has a free tier, so it costs nothing to try first.
  • Each has a real cost: Articulate 360 priced annually per user at $1,749 for Teams and $1,449 for Personal, with no monthly option shown; 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: Articulate 360 covers Storyline 360, Apache Spark MLlib covers Classification.

Where they differ

Only the attributes on which Articulate 360 and Apache Spark MLlib actually diverge.

Attributes where Articulate 360 and Apache Spark MLlib differ
AttributeArticulate 360Apache Spark MLlib
Starting priceOn requestFree
Pricing modelsubscriptionopen-source
Free tierNoYes
PlatformsWindows, Web (Rise)Linux, macOS, Windows
CategoryEducation & E-LearningMachine Learning & Data Science
Founded20021999

Identical on both: 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 Articulate 360

  • Storyline 360
  • Rise 360
  • Content Library
  • Review 360
  • Screen recording
  • Characters
  • Templates
  • SCORM/xAPI

Only in Apache Spark MLlib

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

Both cover

  • Windows support

What people use each for

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

Articulate 360

  • Authoring e-learning courses with Storyline and Risenot Apache Spark MLlib
  • Delivering training through the built-in LMSnot Apache Spark MLlib
  • Review and approval cycles with subject matter expertsnot Apache Spark MLlib
  • Exporting SCORM packages to an existing LMSnot Apache Spark MLlib

Apache Spark MLlib

  • Large-scale distributed machine learning on Spark clustersnot Articulate 360
  • Classification and regression with decision trees, random forests, gradient-boosted treesnot Articulate 360
  • Clustering with K-means and Gaussian Mixture Modelsnot Articulate 360

Where each one falls short

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

Articulate 360

  • Priced annually per user at $1,749 for Teams and $1,449 for Personal, with no monthly option shown
  • The built-in LMS covers up to 300 active learners; larger audiences need the Reach Pro add-on
  • Learner analytics, API integrations and localisation are all paid add-ons
  • Collaboration features, including co-authoring and shared folders, require the Teams plan

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

Articulate 360

On request
  • Personal$1399/month
    • Storyline 360
    • Rise 360
    • Content Library
  • Teams$1599/month
    • All Personal
    • Team collaboration
    • Priority support
  • Enterprise$undefined/month
    • Volume licensing
    • SSO
    • Custom onboarding

Apache Spark MLlib

Free

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

Which should you pick?

Choose Articulate 360 if

  • You need storyline 360.
  • You work on Windows, Web (Rise).
  • You also want rise 360.
Articulate 360 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 Articulate 360 or Apache Spark MLlib better?
Neither clearly leads. Articulate 360 starts at On request and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Articulate 360 or Apache Spark MLlib?
Apache Spark MLlib has a free tier; the other does not. Paid plans start at On request for Articulate 360 and Free for Apache Spark MLlib.
Does Articulate 360 or Apache Spark MLlib run on more platforms?
Articulate 360 runs on Windows, Web (Rise). Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Apache Spark MLlib for free?
Yes. Apache Spark MLlib has a free tier, so you can try it without paying. Articulate 360 starts at On request.
What is Articulate 360 best used for?
Articulate 360 is most often used for authoring e-learning courses with storyline and rise, delivering training through the built-in lms, review and approval cycles with subject matter experts, exporting scorm packages to an existing lms. Of those, authoring e-learning courses with storyline and rise and delivering training through the built-in lms are not what Apache Spark MLlib is typically brought in for.
What can Articulate 360 do that Apache Spark MLlib cannot?
Articulate 360 covers Storyline 360, Rise 360, Content Library, Review 360. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering. Both handle Windows support.
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