Machine Learning & Data Science · head to head
OpenAI API vs Dataiku
OpenAI API
Machine Learning & Data Science
GPT and DALL-E APIs for developers
- From
- $0.15/per-million-tokens
- Rated
- -
Dataiku
Machine Learning & Data Science
Everyday AI, Extraordinary People
- From
- Free
- Rated
- -
The short version
- Only Dataiku has a free tier, so it costs nothing to try first.
- Each has a real cost: OpenAI API new accounts start with a $100 approved monthly usage limit and must spend cumulatively to graduate tiers; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
- They diverge on capability: OpenAI API covers GPT models, Dataiku covers Visual data prep.
Where they differ
Only the attributes on which OpenAI API and Dataiku actually diverge.
| Attribute | OpenAI API | Dataiku |
|---|---|---|
| Starting price | $0.15/per-million-tokens | Free |
| Pricing model | usage-based | freemium |
| Free tier | No | Yes |
| Platforms | Api | Linux, Mac, Windows, Web |
| Founded | 2015 | 2013 |
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 OpenAI API
- GPT models
- DALL-E
- Whisper
- Embeddings
- REST API
- SDKs
- Azure OpenAI
- Api support
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.
OpenAI API
- Calling hosted language models from an applicationnot Dataiku
- Generating images, audio and embeddings through one APInot Dataiku
- Building agents and tool calling workflows on managed modelsnot Dataiku
Dataiku
- Building and deploying data science and machine learning pipelinesnot OpenAI API
- Giving analysts and data scientists a shared visual and code environmentnot OpenAI API
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
OpenAI API
- New accounts start with a $100 approved monthly usage limit and must spend cumulatively to graduate tiers
- Reaching the top Tier 5 monthly cap of $200,000 requires $1,000 of cumulative paid usage
- Rate limits apply simultaneously across requests per minute, requests per day, tokens per minute, tokens per day and images per minute, and the first one hit blocks the request
- API access is restricted to approved geographies
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
OpenAI API
$0.15/per-million-tokens- GPT-4o mini$0.15/per-million-input-tokens
- Fast
- Affordable
- GPT-4o$5/per-million-input-tokens
- Multimodal
- 128K context
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- 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 OpenAI API or Dataiku better?
- Neither clearly leads. OpenAI API starts at $0.15/per-million-tokens and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, OpenAI API or Dataiku?
- Dataiku has a free tier; the other does not. Paid plans start at $0.15/per-million-tokens for OpenAI API and Free for Dataiku.
- Does OpenAI API or Dataiku run on more platforms?
- OpenAI API runs on Api. Dataiku runs on Linux, Mac, Windows, Web.
- Can I use Dataiku for free?
- Yes. Dataiku has a free tier, so you can try it without paying. OpenAI API starts at $0.15/per-million-tokens.
- What is OpenAI API best used for?
- OpenAI API is most often used for calling hosted language models from an application, generating images, audio and embeddings through one api, building agents and tool calling workflows on managed models. Of those, calling hosted language models from an application and generating images, audio and embeddings through one api are not what Dataiku is typically brought in for.
- What can OpenAI API do that Dataiku cannot?
- OpenAI API covers GPT models, DALL-E, Whisper, Embeddings. Dataiku covers Visual data prep, AutoML, MLOps, Collaboration.