Education & E-Learning · head to head
Open edX vs Apache Spark MLlib

Open edX
Education & E-Learning
Open-source platform powering online learning
- From
- Free
- Rated
- -

Apache Spark MLlib
Machine Learning & Data Science
Scalable machine learning on Apache Spark
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Open edX open edX has no licensing fee as open source software, but the vendor's own site states that hosting and infrastructure costs are the operator's responsibility, so there is no bundled managed-hosting price to compare against SaaS competitors.; 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: Open edX covers Course authoring, Apache Spark MLlib covers Classification.
Where they differ
Only the attributes on which Open edX and Apache Spark MLlib actually diverge.
| Attribute | Open edX | Apache Spark MLlib |
|---|---|---|
| Pricing model | free | open-source |
| Platforms | Web, IOS, Android | Linux, macOS, Windows |
| Category | Education & E-Learning | Machine Learning & Data Science |
| Founded | 2012 | 1999 |
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 Open edX
- Course authoring
- Interactive videos
- Assessments
- Discussions
- Certificates
- Analytics
- Mobile apps
- xBlocks
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.
Open edX
- MOOC creationnot Apache Spark MLlib
- Corporate trainingnot Apache Spark MLlib
- Blended learningnot Apache Spark MLlib
- Degree programsnot Apache Spark MLlib
Apache Spark MLlib
- Large-scale distributed machine learning on Spark clustersnot Open edX
- Classification and regression with decision trees, random forests, gradient-boosted treesnot Open edX
- Clustering with K-means and Gaussian Mixture Modelsnot Open edX
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Open edX
- Open edX has no licensing fee as open source software, but the vendor's own site states that hosting and infrastructure costs are the operator's responsibility, so there is no bundled managed-hosting price to compare against SaaS competitors.
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
Open edX
Free- Self-HostedFree
- Full platform
- Community support
- All features
- Managed Hosting$undefined/month
- Hosted solution
- Support
- Maintenance
Apache Spark MLlib
FreeNo published plan breakdown. See the Apache Spark MLlib review.
Which should you pick?
Choose Open edX if
- You need course authoring.
- You want to start without paying.
- You work on Web, IOS, Android.
- You also want interactive videos.
Choose Apache Spark MLlib if
- You need classification.
- You want to start without paying.
- You work on Linux, macOS, Windows.
- You also want regression.
Questions people ask
- Is Open edX or Apache Spark MLlib better?
- Neither clearly leads. Open edX 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, Open edX or Apache Spark MLlib?
- Open edX starts at Free and Apache Spark MLlib at Free.
- Does Open edX or Apache Spark MLlib run on more platforms?
- Open edX runs on Web, IOS, Android. Apache Spark MLlib runs on Linux, macOS, Windows.
- Can I use Open edX for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Open edX best used for?
- Open edX is most often used for mooc creation, corporate training, blended learning, degree programs. Of those, mooc creation and corporate training are not what Apache Spark MLlib is typically brought in for.
- What can Open edX do that Apache Spark MLlib cannot?
- Open edX covers Course authoring, Interactive videos, Assessments, Discussions. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
Related pages
More on Apache Spark MLlib
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- Apache Spark MLlib vs Blackboard
- Apache Spark MLlib vs Codecademy
- Apache Spark MLlib vs DataCamp
- Apache Spark MLlib vs Khan Academy
- Apache Spark MLlib vs Babbel
- Apache Spark MLlib vs Gimkit
- Apache Spark MLlib vs Pluralsight
- Apache Spark MLlib vs Quizizz
- Apache Spark MLlib vs Rosetta Stone
- Apache Spark MLlib vs Udemy
- Apache Spark MLlib vs 360Learning
- Apache Spark MLlib vs Articulate 360
- Apache Spark MLlib vs Brilliant
- Apache Spark MLlib vs Duolingo
- Apache Spark MLlib vs Flip
- Apache Spark MLlib vs Labster
- Apache Spark MLlib vs MasterClass
- Apache Spark MLlib vs Miro Education
- Apache Spark MLlib vs AWS SageMaker
- Apache Spark MLlib vs Google Vertex AI
- Apache Spark MLlib vs Azure Machine Learning
- Apache Spark MLlib vs DataRobot
- Apache Spark MLlib vs Snowflake
- Apache Spark MLlib vs TensorFlow
- Apache Spark MLlib vs Comet ML
- Apache Spark MLlib vs Keras
- Apache Spark MLlib vs MLflow
- Apache Spark MLlib vs Jupyter
- Apache Spark MLlib vs PyTorch
- Apache Spark MLlib vs scikit-learn
- Apache Spark MLlib vs Weights & Biases
- Apache Spark MLlib vs Alteryx
- Apache Spark MLlib vs Anaconda
- Apache Spark MLlib vs Databricks
- Apache Spark MLlib vs Dataiku
- Apache Spark MLlib vs DVC
