Software · head to head
Dataiku vs Looker
The short version
- Only Dataiku has a free tier, so it costs nothing to try first.
- Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; Looker requires annual commitment with no month-to-month billing option
- They diverge on capability: Dataiku covers Visual data prep, Looker covers LookML Data Modeling.
Where they differ
Only the attributes on which Dataiku and Looker actually diverge.
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 Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
Only in Looker
- LookML Data Modeling
- Embedded Analytics
- API Access
- Version Control
- Data Actions
- BigQuery
- Redshift
- PostgreSQL
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 Looker
- Giving analysts and data scientists a shared visual and code environmentnot Looker
Looker
- Business intelligence and interactive dashboards for data-driven decision makingnot Dataiku
- Embedded analytics for integrating BI capabilities into third-party applicationsnot 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
Looker
- Requires annual commitment with no month-to-month billing option
- Conversational analytics will incur token overage charges ($3.00 per 1M input tokens, $20.00 per 1M output tokens) after October 1, 2026
Pricing, plan by plan
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Looker
On requestNo published plan breakdown. See the Looker 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.
Choose Looker if
- You need lookml data modeling.
- You work on Web, Cloud (Google Cloud Platform).
- You also want embedded analytics.
Questions people ask
- Is Dataiku or Looker better?
- Neither clearly leads. Dataiku starts at Free and Looker at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dataiku or Looker?
- Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and On request for Looker.
- Does Dataiku or Looker run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. Looker runs on Web, Cloud (Google Cloud Platform).
- Can I use Dataiku for free?
- Yes. Dataiku has a free tier, so you can try it without paying. Looker starts at On request.
- 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 Looker is typically brought in for.
- What can Dataiku do that Looker cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Looker covers LookML Data Modeling, Embedded Analytics, API Access, Version Control. Both handle Snowflake, Web support.
Related pages
Keep looking
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- Looker vs PyTorch
- Looker vs scikit-learn
- Looker vs Apache Spark MLlib
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- Looker vs Anaconda
- Looker vs Databricks
- Looker vs DVC
- Looker vs Tableau
- Looker vs Metabase
- Looker vs Redash
- Looker vs Fibery
- Looker vs Apache Superset
- Looker vs Baserow
- Looker vs Budibase
- Looker vs NocoDB


