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Software · head to head

JMP vs Amazon Redshift ML

JMP logo

JMP

Software

Statistical discovery software from SAS

From
Free
Rated
-
Amazon Redshift ML logo

Amazon Redshift ML

Software

Create machine learning models using SQL

From
Free
Rated
-

The short version

  • Each has a real cost: JMP the Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.; Amazon Redshift ML free tier covers only two CREATE MODEL requests per month for two months, capped at 100,000 cells per request; beyond that training is metered at $20 per million cells for the first 10 million, dropping in tiers to $7 per million cells over 100 million
  • They diverge on capability: JMP covers Interactive statistics, Amazon Redshift ML covers SQL-based ML.

Where they differ

Only the attributes on which JMP and Amazon Redshift ML actually diverge.

Attributes where JMP and Amazon Redshift ML differ
AttributeJMPAmazon Redshift ML
Pricing modelsubscriptionusage-based
PlatformsMac, WindowsWeb
Founded19762006

Identical on both: starting price (Free), free tier (Yes), 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 JMP

  • Interactive statistics
  • Dynamic visualization
  • Design of experiments
  • Predictive modeling
  • Quality control
  • SAS
  • Python
  • R

Only in Amazon Redshift ML

  • SQL-based ML
  • AutoML
  • SageMaker integration
  • BYOM support
  • In-database predictions
  • Amazon Redshift
  • SageMaker
  • S3

What people use each for

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

JMP

  • Machine learningnot Amazon Redshift ML
  • Data analysisnot Amazon Redshift ML
  • Model trainingnot Amazon Redshift ML
  • Predictive analyticsnot Amazon Redshift ML

Amazon Redshift ML

  • Training and running machine learning models directly from SQL inside Amazon Redshiftnot JMP

Where each one falls short

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

JMP

  • The Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.

Amazon Redshift ML

  • Free tier covers only two CREATE MODEL requests per month for two months, capped at 100,000 cells per request; beyond that training is metered at $20 per million cells for the first 10 million, dropping in tiers to $7 per million cells over 100 million

Pricing, plan by plan

JMP

Free
  • TrialFree
    • 30-day trial
    • Full features
  • JMP$1785/year
    • Core JMP
    • Standard features

Amazon Redshift ML

Free
  • Free TrialFree
    • 2-month trial
    • 750 DC2.Large hours
  • On-Demand$0.25/hour
    • Per-node pricing
    • SageMaker training

Which should you pick?

Choose JMP if

  • You need interactive statistics.
  • You want to start without paying.
  • You work on Mac, Windows.
  • You also want dynamic visualization.

Choose Amazon Redshift ML if

  • You need sql-based ml.
  • You want to start without paying.
  • You also want automl.

Questions people ask

Is JMP or Amazon Redshift ML better?
Neither clearly leads. JMP starts at Free and Amazon Redshift ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or Amazon Redshift ML?
JMP starts at Free and Amazon Redshift ML at Free.
Does JMP or Amazon Redshift ML run on more platforms?
JMP runs on Mac, Windows. Amazon Redshift ML runs on Web.
Can I use JMP for free?
Both have a free tier, so you can try either at no cost before committing.
What is JMP best used for?
JMP is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Amazon Redshift ML is typically brought in for.
What can JMP do that Amazon Redshift ML cannot?
JMP covers Interactive statistics, Dynamic visualization, Design of experiments, Predictive modeling. Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support.

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