Software · head to head
MATLAB vs Apache Spark MLlib
The short version
- Only Apache Spark MLlib has a free tier, so it costs nothing to try first.
- Each has a real cost: MATLAB a standard individual licence is $940 a year, and it is annual rather than perpetual; 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: MATLAB covers Matrix computations, Apache Spark MLlib covers Classification.
Where they differ
Only the attributes on which MATLAB and Apache Spark MLlib actually diverge.
| Attribute | MATLAB | Apache Spark MLlib |
|---|---|---|
| Starting price | $99/month | Free |
| Pricing model | subscription | open-source |
| Free tier | No | Yes |
| Platforms | Linux, Mac, Windows | Linux, macOS, Windows |
| Founded | 1984 | 1999 |
Identical on both: user rating (Not yet rated), category (Unknown).
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 MATLAB
- Matrix computations
- Data visualization
- Machine learning
- Deep learning
- Signal processing
- Simulink
- Python
- C/C++
Only in Apache Spark MLlib
- Classification
- Regression
- Clustering
- Collaborative filtering
- Feature engineering
- Apache Spark
- Hadoop
- Kafka
Both cover
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
MATLAB
- Numerical computing, simulation and algorithm developmentnot Apache Spark MLlib
- Engineering and scientific modelling with Simulinknot Apache Spark MLlib
Apache Spark MLlib
- Large-scale distributed machine learning on Spark clustersnot MATLAB
- Classification and regression with decision trees, random forests, gradient-boosted treesnot MATLAB
- Clustering with K-means and Gaussian Mixture Modelsnot MATLAB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
MATLAB
- A standard individual licence is $940 a year, and it is annual rather than perpetual
- Add on toolboxes are bought separately through the web store rather than being included
- No price is displayed for the academic, student, home or startup licences, each of which requires a quote
- Eligibility rather than price separates most tiers, so a commercial user has one option
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
MATLAB
$99/month- Home$149/perpetual
- Personal use
- Core MATLAB
- Standard$2350/perpetual
- Commercial use
- Full features
Apache Spark MLlib
FreeNo published plan breakdown. See the Apache Spark MLlib review.
Which should you pick?
Choose MATLAB if
- You need matrix computations.
- You work on Linux, Mac, Windows.
- You also want data visualization.
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 MATLAB or Apache Spark MLlib better?
- Neither clearly leads. MATLAB starts at $99/month and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, MATLAB or Apache Spark MLlib?
- Apache Spark MLlib has a free tier; the other does not. Paid plans start at $99/month for MATLAB and Free for Apache Spark MLlib.
- Does MATLAB or Apache Spark MLlib run on more platforms?
- MATLAB runs on Linux, Mac, Windows. 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. MATLAB starts at $99/month.
- What is MATLAB best used for?
- MATLAB is most often used for numerical computing, simulation and algorithm development, engineering and scientific modelling with simulink. Of those, numerical computing, simulation and algorithm development and engineering and scientific modelling with simulink are not what Apache Spark MLlib is typically brought in for.
- What can MATLAB do that Apache Spark MLlib cannot?
- MATLAB covers Matrix computations, Data visualization, Machine learning, Deep learning. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering. Both handle Linux support, Mac support, Windows support.
Related pages
More on Apache Spark MLlib
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