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Software · head to head

Dataiku vs Metabase

Dataiku logo

Dataiku

Software

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite
Metabase logo

Metabase

Software

Fast analytics with the friendly UX

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; Metabase row and column level permissions and SSO available only in Pro tier and above
  • They diverge on capability: Dataiku covers Visual data prep, Metabase covers No-code Query Builder.

Where they differ

Only the attributes on which Dataiku and Metabase actually diverge.

Attributes where Dataiku and Metabase differ
AttributeDataikuMetabase
Pricing modelfreemiumUnknown
PlatformsLinux, Mac, Windows, WebWeb, Self-hosted cloud
Founded20132014

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 Dataiku

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

Only in Metabase

  • No-code Query Builder
  • SQL Editor
  • Interactive Dashboards
  • Alerts
  • Embedding
  • PostgreSQL
  • MySQL
  • MongoDB

Both cover

  • Snowflake
  • 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 Metabase
  • Giving analysts and data scientists a shared visual and code environmentnot Metabase

Metabase

  • Business intelligence and data exploration for non-technical usersnot Dataiku
  • Embedded analytics for SaaS applicationsnot Dataiku
  • Self-service reporting and dashboard creationnot Dataiku
  • Integration with 40+ data sources including cloud warehousesnot 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

Metabase

  • Row and column level permissions and SSO available only in Pro tier and above
  • Advanced analytics features like multi-tenant embedded analytics require Pro tier or higher
  • AI-powered features incur additional usage-based costs: $3.75 per 1M tokens
  • Self-hosted deployment on Free/Open Source tier requires infrastructure management

Pricing, plan by plan

Dataiku

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

Metabase

Free

No published plan breakdown. See the Metabase review.

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 Metabase if

  • You need no-code query builder.
  • You want to start without paying.
  • You work on Web, Self-hosted cloud.
  • You also want sql editor.
Metabase review

Questions people ask

Is Dataiku or Metabase better?
Neither clearly leads. Dataiku starts at Free and Metabase at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Metabase?
Dataiku starts at Free and Metabase at Free.
Does Dataiku or Metabase run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Metabase runs on Web, Self-hosted cloud.
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 Metabase is typically brought in for.
What can Dataiku do that Metabase cannot?
Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Metabase covers No-code Query Builder, SQL Editor, Interactive Dashboards, Alerts. Both handle Snowflake, Web support.
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