Machine Learning & Data Science · head to head
Dataiku vs DataRobot
Dataiku
Machine Learning & Data Science
Everyday AI, Extraordinary People
- From
- Free
- Rated
- -
DataRobot
Machine Learning & Data Science
Enterprise AI platform for automated machine learning
- From
- On request
- Rated
- -
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; DataRobot model transparency is limited, often resembling a black box with limited explainability
- They diverge on capability: Dataiku covers Visual data prep, DataRobot covers Automated ML.
Where they differ
Only the attributes on which Dataiku and DataRobot actually diverge.
Identical on both: 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
- Collaboration
- Governence
- Python
- R
- Spark
- Linux support
Only in DataRobot
- Automated ML
- Model deployment
- Time series
- Model monitoring
- AWS
- Azure
- GCP
Both cover
- MLOps
- Snowflake
- Databricks
- 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 DataRobot
- Giving analysts and data scientists a shared visual and code environmentnot DataRobot
DataRobot
- Machine learningnot Dataiku
- Data analysisnot Dataiku
- Model trainingnot Dataiku
- Predictive analyticsnot 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
DataRobot
- Model transparency is limited, often resembling a black box with limited explainability
- Requires integration with separate data manipulation tools for complex data transformation
- Lacks native Python and R code customization for proprietary algorithms
- Dependence on cloud connectivity means offline capabilities are not available
- Uploading sensitive data to third-party servers raises data privacy and security concerns
Pricing, plan by plan
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
DataRobot
On request- TrialFree
- Limited access
- Basic features
- EnterpriseFree
- Full platform
- AutoML
- MLOps
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.
Questions people ask
- Is Dataiku or DataRobot better?
- Neither clearly leads. Dataiku starts at Free and DataRobot at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dataiku or DataRobot?
- Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and On request for DataRobot.
- Does Dataiku or DataRobot run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. DataRobot runs on Web.
- Can I use Dataiku for free?
- Yes. Dataiku has a free tier, so you can try it without paying. DataRobot 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 DataRobot is typically brought in for.
- What can Dataiku do that DataRobot cannot?
- Dataiku covers Visual data prep, AutoML, Collaboration, Governence. DataRobot covers Automated ML, Model deployment, Time series, Model monitoring. Both handle MLOps, Snowflake, Databricks, Web support.
Answered from the vendors’ own pages
DataRobot: Does DataRobot require data science expertise?
DataRobot automates much of the ML pipeline including data preparation, feature engineering, and model selection, making it more accessible to non-experts, though it is still an enterprise platform.
SourceDataRobot: What does DataRobot cost?
DataRobot uses custom enterprise pricing with typical starting costs around $2,500 per month for smaller organizations. For 10 users, monthly costs range from $15,000 to $20,000. Implementation and professional services are 20-40% of first-year contract value.
SourceDataRobot: Does DataRobot support generative AI?
Yes, DataRobot offers generative AI capabilities with API-first integrations for LLMs, vector databases, and embedding models.
SourceDataRobot: Can DataRobot handle unstructured data?
Yes, DataRobot supports machine learning on both structured and unstructured data, including deep learning, NLP, and image analysis.
Source