Software · head to head
Dataiku vs Netlify
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; Netlify the free tier is an individual account with 300 credits; team members require the Pro plan at $20 a month
- They diverge on capability: Dataiku covers Visual data prep, Netlify covers Continuous deployment.
Where they differ
Only the attributes on which Dataiku and Netlify actually diverge.
Identical on both: starting price (Free), pricing model (freemium), 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
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
Only in Netlify
- Continuous deployment
- Instant rollbacks
- Deploy previews
- Split testing
- Forms handling
- Identity/Auth
- Serverless functions
- Edge handlers
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 Netlify
- Giving analysts and data scientists a shared visual and code environmentnot Netlify
Netlify
- Hosting static sites and frontend frameworks with global CDN deliverynot Dataiku
- Deploy previews on every pull requestnot Dataiku
- Serverless functions alongside a static sitenot Dataiku
- Netlify Database and Blob storage for small application statenot 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
Netlify
- The free tier is an individual account with 300 credits; team members require the Pro plan at $20 a month
- Everything is metered in credits, so bandwidth at 20 credits per GB and production deploys at 15 credits each consume the allowance in ways a bandwidth figure alone would not show
- Compute is billed at 10 credits per GB-hour, so server-rendered work costs more than static hosting
- Running past the allowance means buying credit packs, at $5 for 500 on Personal and $10 for 1,500 on Pro
- AI inference is priced by model rather than at a flat credit rate
Pricing, plan by plan
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Netlify
Free- StarterFree
- 100GB bandwidth
- 300 build minutes
- 1 concurrent build
- Pro$19/month
- 400GB bandwidth
- 25,000 build minutes
- 3 concurrent builds
- Business$99/month
- 600GB bandwidth
- 35,000 build minutes
- 5 concurrent builds
- Enterprise$undefined/month
- Custom bandwidth
- Custom build minutes
- Unlimited concurrent builds
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 Netlify if
- You need continuous deployment.
- You want to start without paying.
- You also want instant rollbacks.
Questions people ask
- Is Dataiku or Netlify better?
- Neither clearly leads. Dataiku starts at Free and Netlify at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dataiku or Netlify?
- Dataiku starts at Free and Netlify at Free.
- Does Dataiku or Netlify run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. Netlify runs on Web.
- 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 Netlify is typically brought in for.
- What can Dataiku do that Netlify cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Netlify covers Continuous deployment, Instant rollbacks, Deploy previews, Split testing.
Related pages
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- Netlify vs Alteryx
- Netlify vs Anaconda
- Netlify vs Databricks
- Netlify vs DVC
- Netlify vs Asana
- Netlify vs ClickUp
- Netlify vs Figma
- Netlify vs Linear
- Netlify vs Monday.com
- Netlify vs Greenhouse
- Netlify vs Notion
- Netlify vs Amplitude
- Netlify vs Datadog
- Netlify vs PostHog
- Netlify vs PyCharm
- Netlify vs Sketch
- Netlify vs Docker
- Netlify vs Okta
- Netlify vs Aha!
- Netlify vs Coda
- Netlify vs Dashlane
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