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Software · head to head

Ollama vs Dataiku

Ollama logo

Ollama

Software

Open-source tool for running LLMs locally on desktop and servers

From
Free
Rated
-
Full reviewWebsite
Dataiku logo

Dataiku

Software

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Ollama requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines; Dataiku no pricing is published at any tier, and the plans page carries no figures at all

Where they differ

Only the attributes on which Ollama and Dataiku actually diverge.

Attributes where Ollama and Dataiku differ
AttributeOllamaDataiku
Pricing modelopen-sourcefreemium
PlatformsmacOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted)Linux, Mac, Windows, Web
FoundedUnknown2013

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 Ollama

Nothing recorded that Dataiku does not also cover.

Only in Dataiku

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

What people use each for

The jobs each tool is most often brought in to do.

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

Dataiku

  • Building and deploying data science and machine learning pipelinesnot Ollama
  • Giving analysts and data scientists a shared visual and code environmentnot Ollama

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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

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

Pricing, plan by plan

Ollama

Free

No published plan breakdown. See the Ollama review.

Dataiku

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

Which should you pick?

Choose Ollama if

  • You want to start without paying.
  • You work on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
Ollama review

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

Questions people ask

Is Ollama or Dataiku better?
Neither clearly leads. Ollama starts at Free and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Ollama or Dataiku?
Ollama starts at Free and Dataiku at Free.
Does Ollama or Dataiku run on more platforms?
Ollama runs on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted). Dataiku runs on Linux, Mac, Windows, Web.
Can I use Ollama for free?
Both have a free tier, so you can try either at no cost before committing.
What is Ollama best used for?
Ollama is most often used for local development and testing without api costs or rate limits, privacy-sensitive applications requiring data to remain on-device, cost-sensitive deployments where computational resources are already available, fully offline environments or air-gapped networks. Of those, local development and testing without api costs or rate limits and privacy-sensitive applications requiring data to remain on-device are not what Dataiku is typically brought in for.
What can Ollama do that Dataiku cannot?
Dataiku covers Visual data prep, AutoML, MLOps, Collaboration.
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