Machine Learning & Data Science · head to head
Dataiku vs Ollama

Dataiku
Machine Learning & Data Science
Everyday AI, Extraordinary People
- From
- Free
- Rated
- -

Ollama
Machine Learning & Data Science
Open-source tool for running LLMs locally on desktop and servers
- 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; Ollama requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
Where they differ
Only the attributes on which Dataiku and Ollama actually diverge.
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
- Python
- R
- Spark
Only in Ollama
Nothing recorded that Dataiku does not also cover.
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 Ollama
- Giving analysts and data scientists a shared visual and code environmentnot Ollama
Ollama
- Local development and testing without API costs or rate limitsnot Dataiku
- Privacy-sensitive applications requiring data to remain on-devicenot Dataiku
- Cost-sensitive deployments where computational resources are already availablenot Dataiku
- Fully offline environments or air-gapped networksnot 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
Ollama
- Requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
- No hosted service option for inference; all computational burden falls to user
- Limited to open-weight models; cannot run proprietary models like GPT-4 or Claude locally
- Performance depends entirely on user's hardware; no SLAs or guarantees on speed
Pricing, plan by plan
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Ollama
FreeNo published plan breakdown. See the Ollama 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 Ollama if
- You want to start without paying.
- You work on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
Questions people ask
- Is Dataiku or Ollama better?
- Neither clearly leads. Dataiku starts at Free and Ollama at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dataiku or Ollama?
- Dataiku starts at Free and Ollama at Free.
- Does Dataiku or Ollama run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. Ollama runs on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
- 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 Ollama is typically brought in for.
- What can Dataiku do that Ollama cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Collaboration.
Related pages
Other head to heads
- Dataiku vs AWS SageMaker
- Dataiku vs Google Vertex AI
- Dataiku vs Azure Machine Learning
- Dataiku vs DataRobot
- Dataiku vs Snowflake
- Dataiku vs TensorFlow
- Dataiku vs Comet ML
- Dataiku vs Keras
- Dataiku vs MLflow
- Dataiku vs Jupyter
- Dataiku vs PyTorch
- Dataiku vs scikit-learn
- Dataiku vs Apache Spark MLlib
- Dataiku vs Weights & Biases
- Dataiku vs Alteryx
- Dataiku vs Anaconda
- Dataiku vs Databricks
- Dataiku vs DVC
- Ollama vs AWS SageMaker
- Ollama vs Google Vertex AI
- Ollama vs Azure Machine Learning
- Ollama vs DataRobot
- Ollama vs Snowflake
- Ollama vs TensorFlow
- Ollama vs Comet ML
- Ollama vs Keras
- Ollama vs MLflow
- Ollama vs Jupyter
- Ollama vs PyTorch
- Ollama vs scikit-learn
- Ollama vs Apache Spark MLlib
- Ollama vs Weights & Biases
- Ollama vs Alteryx
- Ollama vs Anaconda
- Ollama vs Databricks
- Ollama vs DVC
