Machine Learning & Data Science · head to head
Apache Spark MLlib vs Udemy

Apache Spark MLlib
Machine Learning & Data Science
Scalable machine learning on Apache Spark
- From
- Free
- Rated
- -

Udemy
Education & E-Learning
World's largest marketplace for online learning
- From
- Free
- Rated
- -
The short version
- Each has a real cost: 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.; Udemy course quality varies significantly as Udemy allows anyone to create and sell courses without vetting
- They diverge on capability: Apache Spark MLlib covers Classification, Udemy covers Video courses.
Where they differ
Only the attributes on which Apache Spark MLlib and Udemy actually diverge.
| Attribute | Apache Spark MLlib | Udemy |
|---|---|---|
| Pricing model | open-source | Unknown |
| Platforms | Linux, macOS, Windows | Web, iOS, Android |
| Category | Machine Learning & Data Science | Education & E-Learning |
| Founded | 1999 | 2010 |
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 Apache Spark MLlib
- Classification
- Regression
- Clustering
- Collaborative filtering
- Feature engineering
- Apache Spark
- Hadoop
- Kafka
Only in Udemy
- Video courses
- Quizzes
- Assignments
- Certificates
- Mobile learning
- Offline viewing
- Q&A
- Reviews
What people use each for
The jobs each tool is most often brought in to do.
Apache Spark MLlib
- Large-scale distributed machine learning on Spark clustersnot Udemy
- Classification and regression with decision trees, random forests, gradient-boosted treesnot Udemy
- Clustering with K-means and Gaussian Mixture Modelsnot Udemy
Udemy
- Skill buildingnot Apache Spark MLlib
- Career transitionnot Apache Spark MLlib
- Professional developmentnot Apache Spark MLlib
- Team trainingnot Apache Spark MLlib
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Udemy
- Course quality varies significantly as Udemy allows anyone to create and sell courses without vetting
- No formal credentials or degrees offered, unlike Coursera and edX which offer institution-branded certificates
- Courses are self-paced with no instructor interaction or support, making structured learning difficult for some students
Pricing, plan by plan
Apache Spark MLlib
FreeNo published plan breakdown. See the Apache Spark MLlib review.
Udemy
Free- Personal$19/month
- 11,000+ courses access
- Team$360/year
- For 5-20 people
Which should you pick?
Choose Apache Spark MLlib if
- You need classification.
- You want to start without paying.
- You work on Linux, macOS, Windows.
- You also want regression.
Choose Udemy if
- You need video courses.
- You want to start without paying.
- You work on Web, iOS, Android.
- You also want quizzes.
Questions people ask
- Is Apache Spark MLlib or Udemy better?
- Neither clearly leads. Apache Spark MLlib starts at Free and Udemy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Spark MLlib or Udemy?
- Apache Spark MLlib starts at Free and Udemy at Free.
- Does Apache Spark MLlib or Udemy run on more platforms?
- Apache Spark MLlib runs on Linux, macOS, Windows. Udemy runs on Web, iOS, Android.
- Can I use Apache Spark MLlib for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Spark MLlib best used for?
- Apache Spark MLlib is most often used for large-scale distributed machine learning on spark clusters, classification and regression with decision trees, random forests, gradient-boosted trees, clustering with k-means and gaussian mixture models. Of those, large-scale distributed machine learning on spark clusters and classification and regression with decision trees, random forests, gradient-boosted trees are not what Udemy is typically brought in for.
- What can Apache Spark MLlib do that Udemy cannot?
- Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering. Udemy covers Video courses, Quizzes, Assignments, Certificates.
Answered from the vendors’ own pages
Udemy: Does Udemy offer team/business pricing?
Yes, Udemy's Team plan costs $360 per user annually for groups of 5 to 20 people, in addition to individual Personal plan at $19/month.
SourceRelated pages
More on Apache Spark MLlib
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- Udemy vs AWS SageMaker
- Udemy vs Google Vertex AI
- Udemy vs Azure Machine Learning
- Udemy vs DataRobot
- Udemy vs Snowflake
- Udemy vs TensorFlow
- Udemy vs Comet ML
- Udemy vs Keras
- Udemy vs MLflow
- Udemy vs Jupyter
- Udemy vs PyTorch
- Udemy vs scikit-learn
- Udemy vs Weights & Biases
- Udemy vs Alteryx
- Udemy vs Anaconda
- Udemy vs Databricks
- Udemy vs Dataiku
- Udemy vs DVC
- Udemy vs Blackboard
- Udemy vs Codecademy
- Udemy vs DataCamp
- Udemy vs Khan Academy
- Udemy vs Babbel
- Udemy vs Gimkit
- Udemy vs Pluralsight
- Udemy vs Quizizz
- Udemy vs Rosetta Stone
- Udemy vs 360Learning
- Udemy vs Articulate 360
- Udemy vs Brilliant
- Udemy vs Duolingo
- Udemy vs Flip
- Udemy vs Labster
- Udemy vs MasterClass
- Udemy vs Miro Education
- Udemy vs Open edX
