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Education & E-Learning · head to head

360Learning vs Apache Spark MLlib

360Learning logo

360Learning

Education & E-Learning

Collaborative learning that transforms L&D

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: 360Learning the published Team plan at $8 per user per month covers up to 100 users; beyond that pricing is custom; 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: 360Learning covers Collaborative authoring, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where 360Learning and Apache Spark MLlib differ
Attribute360LearningApache Spark MLlib
Starting priceOn requestFree
Pricing modelsubscriptionopen-source
Free tierNoYes
PlatformsWeb, IOS, Android, APILinux, macOS, Windows
CategoryEducation & E-LearningMachine Learning & Data Science
Founded20101999

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 360Learning

  • Collaborative authoring
  • AI-powered recommendations
  • Social learning
  • Assessments
  • Mobile learning
  • Analytics
  • Integrations
  • Gamification

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.

360Learning

  • Collaborative course authoring by internal subject matter expertsnot Apache Spark MLlib
  • Onboarding and compliance training deliverynot Apache Spark MLlib
  • Upskilling programmes tracked across a workforcenot Apache Spark MLlib
  • Customer and partner trainingnot Apache Spark MLlib

Apache Spark MLlib

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

Where each one falls short

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

360Learning

  • The published Team plan at $8 per user per month covers up to 100 users; beyond that pricing is custom
  • Business and Enterprise pricing is not published
  • Priority SLA, dedicated technical support and premium onboarding are Enterprise only
  • Business and Enterprise plans are typically annual contracts rather than monthly

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

360Learning

On request
  • Team$undefined/month
    • Collaborative authoring
    • Course library
    • Reporting
  • Business$undefined/month
    • All Team
    • Integrations
    • Advanced analytics
  • Enterprise$undefined/month
    • All Business
    • Custom development
    • Dedicated success

Apache Spark MLlib

Free

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

Which should you pick?

Choose 360Learning if

  • You need collaborative authoring.
  • You work on Web, IOS, Android, API.
  • You also want ai-powered recommendations.
360Learning 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 360Learning or Apache Spark MLlib better?
Neither clearly leads. 360Learning 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, 360Learning or Apache Spark MLlib?
Apache Spark MLlib has a free tier; the other does not. Paid plans start at On request for 360Learning and Free for Apache Spark MLlib.
Does 360Learning or Apache Spark MLlib run on more platforms?
360Learning runs on Web, IOS, Android, API. 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. 360Learning starts at On request.
What is 360Learning best used for?
360Learning is most often used for collaborative course authoring by internal subject matter experts, onboarding and compliance training delivery, upskilling programmes tracked across a workforce, customer and partner training. Of those, collaborative course authoring by internal subject matter experts and onboarding and compliance training delivery are not what Apache Spark MLlib is typically brought in for.
What can 360Learning do that Apache Spark MLlib cannot?
360Learning covers Collaborative authoring, AI-powered recommendations, Social learning, Assessments. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
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