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Education & E-Learning · head to head

DataCamp vs Apache Spark MLlib

DataCamp logo

DataCamp

Education & E-Learning

Learn data science and AI skills online

From
Free
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

  • Each has a real cost: DataCamp free tier limited to first chapter of every course only; 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: DataCamp covers Interactive courses, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where DataCamp and Apache Spark MLlib differ
AttributeDataCampApache Spark MLlib
Pricing modelfreemiumopen-source
PlatformsWeb, MobileLinux, macOS, Windows
CategoryEducation & E-LearningMachine Learning & Data Science
Founded20131999

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 DataCamp

  • Interactive courses
  • Hands-on projects
  • Skill assessments
  • Career tracks
  • Certifications
  • Workspace
  • Mobile app
  • Practice mode

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.

DataCamp

  • Interactive data science and AI education with 790+ coursesnot Apache Spark MLlib
  • Career-track learning (36-44 hours) for role-specific competencynot Apache Spark MLlib
  • Team upskilling with admin dashboards and learning activity trackingnot Apache Spark MLlib
  • Hands-on projects, certifications, and industry-recognised credentialsnot Apache Spark MLlib

Apache Spark MLlib

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

Where each one falls short

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

DataCamp

  • Free tier limited to first chapter of every course only
  • Premium plan requires annual billing with no monthly option
  • Teams plan requires minimum 2+ users with annual upfront billing
  • Free tier excludes access to 790+ courses and skill assessments

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

DataCamp

Free

No published plan breakdown. See the DataCamp review.

Apache Spark MLlib

Free

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

Which should you pick?

Choose DataCamp if

  • You need interactive courses.
  • You want to start without paying.
  • You work on Web, Mobile.
  • You also want hands-on projects.
DataCamp 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 DataCamp or Apache Spark MLlib better?
Neither clearly leads. DataCamp 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, DataCamp or Apache Spark MLlib?
DataCamp starts at Free and Apache Spark MLlib at Free.
Does DataCamp or Apache Spark MLlib run on more platforms?
DataCamp runs on Web, Mobile. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use DataCamp for free?
Both have a free tier, so you can try either at no cost before committing.
What is DataCamp best used for?
DataCamp is most often used for interactive data science and ai education with 790+ courses, career-track learning (36-44 hours) for role-specific competency, team upskilling with admin dashboards and learning activity tracking, hands-on projects, certifications, and industry-recognised credentials. Of those, interactive data science and ai education with 790+ courses and career-track learning (36-44 hours) for role-specific competency are not what Apache Spark MLlib is typically brought in for.
What can DataCamp do that Apache Spark MLlib cannot?
DataCamp covers Interactive courses, Hands-on projects, Skill assessments, Career tracks. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
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