Software · head to head
Dataiku vs Azure Machine Learning
Azure Machine Learning
Software
Enterprise-grade machine learning service
- From
- Free
- Rated
- -
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; Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services
- They diverge on capability: Dataiku covers Visual data prep, Azure Machine Learning covers Automated ML.
Where they differ
Only the attributes on which Dataiku and Azure Machine Learning actually diverge.
| Attribute | Dataiku | Azure Machine Learning |
|---|---|---|
| Pricing model | freemium | usage-based |
| Platforms | Linux, Mac, Windows, Web | Azure Cloud |
| Founded | 2013 | 1975 |
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
- Collaboration
- Governence
- Python
- R
- Spark
- Snowflake
Only in Azure Machine Learning
- Automated ML
- Designer (drag-and-drop)
- Notebooks
- Model registry
- Azure Blob Storage
- Azure DevOps
- Power BI
- Synapse Analytics
Both cover
- MLOps
- 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 Azure Machine Learning
- Giving analysts and data scientists a shared visual and code environmentnot Azure Machine Learning
Azure Machine Learning
- 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
Azure Machine Learning
- Requires knowledge of Azure ecosystem and integration with other Azure services
- Compute resources for training and inference generate separate charges
Pricing, plan by plan
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Azure Machine Learning
Free- Free TierFree
- Limited compute
- Basic features
- Pay-as-you-go$0.05/hour
- Full platform
- All compute options
- Enterprise features
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 Azure Machine Learning if
- You need automated ml.
- You want to start without paying.
- You work on Azure Cloud.
- You also want designer (drag-and-drop).
Questions people ask
- Is Dataiku or Azure Machine Learning better?
- Neither clearly leads. Dataiku starts at Free and Azure Machine Learning at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dataiku or Azure Machine Learning?
- Dataiku starts at Free and Azure Machine Learning at Free.
- Does Dataiku or Azure Machine Learning run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. Azure Machine Learning runs on Azure 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 Azure Machine Learning is typically brought in for.
- What can Dataiku do that Azure Machine Learning cannot?
- Dataiku covers Visual data prep, AutoML, Collaboration, Governence. Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, Model registry. Both handle MLOps, Web support.
Answered from the vendors’ own pages
Azure Machine Learning: Does Azure Machine Learning have any platform licensing fees?
No, Azure Machine Learning carries no extra cost. You only pay for the underlying compute resources utilized during model training or inference.
SourceAzure Machine Learning: What AutoML capabilities does Azure Machine Learning provide?
Azure Machine Learning supports automated model creation for classification, regression, vision, and natural language processing tasks.
SourceAzure Machine Learning: Does Azure ML support language model fine-tuning?
Yes, Azure Machine Learning supports fine-tuning of foundation models from providers including OpenAI, Meta, Hugging Face, and Cohere.
SourceAzure Machine Learning: What MLOps features are included?
Azure ML includes end-to-end pipeline automation with CI/CD capabilities, managed endpoints for model deployment, and monitoring tools.
SourceAzure Machine Learning: Can I access foundation models from multiple vendors?
Yes, Azure Machine Learning provides access to a model catalog with foundation models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere.
Source