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Software · head to head

AWS SageMaker vs MATLAB

AWS SageMaker logo

AWS SageMaker

Software

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
MATLAB logo

MATLAB

Software

Programming and numeric computing platform

From
$99/month
Rated
-
Full reviewWebsite

The short version

  • Only AWS SageMaker has a free tier, so it costs nothing to try first.
  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; MATLAB a standard individual licence is $940 a year, and it is annual rather than perpetual
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, MATLAB covers Matrix computations.

Where they differ

Only the attributes on which AWS SageMaker and MATLAB actually diverge.

Attributes where AWS SageMaker and MATLAB differ
AttributeAWS SageMakerMATLAB
Starting priceFree$99/month
Pricing modelUnknownsubscription
Free tierYesNo
PlatformsWebLinux, Mac, Windows
Founded20061984

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 AWS SageMaker

  • Jupyter notebooks
  • Built-in algorithms
  • Automatic model tuning
  • One-click deployment
  • Model monitoring
  • S3
  • Lambda
  • Step Functions

Only in MATLAB

  • Matrix computations
  • Data visualization
  • Machine learning
  • Deep learning
  • Signal processing
  • Simulink
  • Python
  • C/C++

What people use each for

The jobs each tool is most often brought in to do.

AWS SageMaker

  • Machine learningnot MATLAB
  • Data analysisnot MATLAB
  • Model trainingnot MATLAB
  • Predictive analyticsnot MATLAB

MATLAB

  • Numerical computing, simulation and algorithm developmentnot AWS SageMaker
  • Engineering and scientific modelling with Simulinknot AWS SageMaker

Where each one falls short

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

AWS SageMaker

  • Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
  • Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
  • Does not include native job scheduling, requiring Lambda or EventBridge integration

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

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

MATLAB

$99/month
  • Home$149/perpetual
    • Personal use
    • Core MATLAB
  • Standard$2350/perpetual
    • Commercial use
    • Full features

Which should you pick?

Choose AWS SageMaker if

  • You need jupyter notebooks.
  • You want to start without paying.
  • You also want built-in algorithms.
AWS SageMaker review

Choose MATLAB if

  • You need matrix computations.
  • You work on Linux, Mac, Windows.
  • You also want data visualization.
MATLAB review

Questions people ask

Is AWS SageMaker or MATLAB better?
Neither clearly leads. AWS SageMaker starts at Free and MATLAB at $99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or MATLAB?
AWS SageMaker has a free tier; the other does not. Paid plans start at Free for AWS SageMaker and $99/month for MATLAB.
Does AWS SageMaker or MATLAB run on more platforms?
AWS SageMaker runs on Web. MATLAB runs on Linux, Mac, Windows.
Can I use AWS SageMaker for free?
Yes. AWS SageMaker has a free tier, so you can try it without paying. MATLAB starts at $99/month.
What is AWS SageMaker best used for?
AWS SageMaker is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what MATLAB is typically brought in for.
What can AWS SageMaker do that MATLAB cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. MATLAB covers Matrix computations, Data visualization, Machine learning, Deep learning.

Answered from the vendors’ own pages

AWS SageMaker: What is AWS SageMaker used for?

AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.

Source
AWS SageMaker: How is AWS SageMaker priced?

SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.

Source
AWS SageMaker: Does AWS SageMaker have a free tier?

Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.

Source
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