Softwr

Machine Learning & Data Science · head to head

Amazon Redshift ML vs Dataiku

Amazon Redshift ML logo

Amazon Redshift ML

Machine Learning & Data Science

Create machine learning models using SQL

From
Free
Rated
-
Full reviewWebsite
Dataiku logo

Dataiku

Machine Learning & Data Science

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
  • They diverge on capability: Amazon Redshift ML covers SQL-based ML, Dataiku covers Visual data prep.

Where they differ

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

Attributes where Amazon Redshift ML and Dataiku differ
AttributeAmazon Redshift MLDataiku
Pricing modelusage-basedfreemium
PlatformsWebLinux, Mac, Windows, Web
Founded20062013

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).

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 Amazon Redshift ML

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

Only in Dataiku

  • Visual data prep
  • MLOps
  • Collaboration
  • Governence
  • Python
  • R
  • Spark
  • Snowflake

Both cover

  • AutoML
  • Web support

What people use each for

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

Amazon Redshift ML

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

Dataiku

  • Building and deploying data science and machine learning pipelinesnot Amazon Redshift ML
  • Giving analysts and data scientists a shared visual and code environmentnot Amazon Redshift ML

Where each one falls short

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

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

Dataiku

  • No pricing is published at any tier, and the plans page carries no figures at all
  • User, row and compute limits are not stated, so nothing about scale can be assessed before contacting sales
  • Access begins with a demo request or a trial rather than a self serve signup

Pricing, plan by plan

Amazon Redshift ML

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

Dataiku

Free
  • Free EditionFree
    • Single user
    • Core features
  • EnterpriseFree
    • Full platform
    • Collaboration
    • MLOps

Which should you pick?

Choose Amazon Redshift ML if

  • You need sql-based ml.
  • You want to start without paying.
  • You also want sagemaker integration.
Amazon Redshift ML review

Choose Dataiku if

  • You need visual data prep.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want mlops.
Dataiku review

Questions people ask

Is Amazon Redshift ML or Dataiku better?
Neither clearly leads. Amazon Redshift ML starts at Free and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Redshift ML or Dataiku?
Amazon Redshift ML starts at Free and Dataiku at Free.
Does Amazon Redshift ML or Dataiku run on more platforms?
Amazon Redshift ML runs on Web. Dataiku runs on Linux, Mac, Windows, Web.
Can I use Amazon Redshift ML for free?
Both have a free tier, so you can try either at no cost before committing.
What is Amazon Redshift ML best used for?
Amazon Redshift ML is most often used for training and running machine learning models directly from sql inside amazon redshift. Of those, training and running machine learning models directly from sql inside amazon redshift is not what Dataiku is typically brought in for.
What can Amazon Redshift ML do that Dataiku cannot?
Amazon Redshift ML covers SQL-based ML, SageMaker integration, BYOM support, In-database predictions. Dataiku covers Visual data prep, MLOps, Collaboration, Governence. Both handle AutoML, Web support.
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on Amazon Redshift ML

More on Dataiku

Keep looking

Other head to heads