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Machine Learning & Data Science · head to head

Dataiku vs SAS

Dataiku logo

Dataiku

Machine Learning & Data Science

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite
SAS logo

SAS

Machine Learning & Data Science

Analytics, AI and data management software

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; SAS sAS publishes no rate, no minimum and no named cost driver; the how to buy page offers only a customized price quote based on your requirements and deployment preferences
  • They diverge on capability: Dataiku covers Visual data prep, SAS covers Statistical analysis.

Where they differ

Only the attributes on which Dataiku and SAS actually diverge.

Attributes where Dataiku and SAS differ
AttributeDataikuSAS
Pricing modelfreemiumsubscription
PlatformsLinux, Mac, Windows, WebLinux, Windows, Web
Founded20131976

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 Dataiku

  • Visual data prep
  • AutoML
  • MLOps
  • Collaboration
  • Governence
  • Snowflake
  • Databricks
  • Mac support

Only in SAS

  • Statistical analysis
  • Machine learning
  • Forecasting
  • Text analytics
  • Optimization
  • Hadoop
  • Cloud platforms

Both cover

  • Python
  • R
  • Spark
  • Linux support
  • Windows support
  • Web support

What people use each for

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

Dataiku

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

SAS

  • Regulated statistical analysis and clinical reportingnot Dataiku
  • Enterprise data management, visualization and decisioning on one licensed platformnot Dataiku

Where each one falls short

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

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

SAS

  • SAS publishes no rate, no minimum and no named cost driver; the how to buy page offers only a customized price quote based on your requirements and deployment preferences
  • Most new and existing customers are routed through authorized resellers rather than buying direct
  • Cloud marketplace purchases require choosing between pay as you go and bring your own licence, each with different licensing terms

Pricing, plan by plan

Dataiku

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

SAS

Free
  • SAS OnDemand for AcademicsFree
    • Academic use
    • Core SAS
  • SAS ViyaFree
    • Full platform
    • Cloud-native
    • AI/ML

Which should you pick?

Choose Dataiku if

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

Choose SAS if

  • You need statistical analysis.
  • You want to start without paying.
  • You work on Linux, Windows, Web.
  • You also want machine learning.
SAS review

Questions people ask

Is Dataiku or SAS better?
Neither clearly leads. Dataiku starts at Free and SAS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or SAS?
Dataiku starts at Free and SAS at Free.
Does Dataiku or SAS run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. SAS runs on Linux, Windows, Web.
Can I use Dataiku for free?
Both have a free tier, so you can try either at no cost before committing.
What is Dataiku best used for?
Dataiku is most often used for building and deploying data science and machine learning pipelines, giving analysts and data scientists a shared visual and code environment. Of those, building and deploying data science and machine learning pipelines and giving analysts and data scientists a shared visual and code environment are not what SAS is typically brought in for.
What can Dataiku do that SAS cannot?
Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. SAS covers Statistical analysis, Machine learning, Forecasting, Text analytics. Both handle Python, R, Spark, Linux support.
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