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Software · head to head

Dataiku vs Replicate

Dataiku logo

Dataiku

Software

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite
Replicate logo

Replicate

Software

Run AI models in the cloud

From
Free
Rated
-
Full reviewWebsite

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; Replicate private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
  • They diverge on capability: Dataiku covers Visual data prep, Replicate covers Model hosting.

Where they differ

Only the attributes on which Dataiku and Replicate actually diverge.

Attributes where Dataiku and Replicate differ
AttributeDataikuReplicate
Pricing modelfreemiumusage-based
PlatformsLinux, Mac, Windows, WebApi, Cloud
Founded20132019

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
  • MLOps
  • Collaboration
  • Governence
  • Python
  • R
  • Spark

Only in Replicate

  • Model hosting
  • Simple API
  • Auto-scaling
  • Custom models
  • REST API
  • Python client
  • JavaScript client
  • Api 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 Replicate
  • Giving analysts and data scientists a shared visual and code environmentnot Replicate

Replicate

  • Running open source machine learning models through a hosted API without managing GPUsnot Dataiku
  • Deploying and serving a custom or fine tuned model on rented GPU hardwarenot Dataiku
  • Per second billed batch image, video and language model inferencenot 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

Replicate

  • Private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
  • Multi-GPU A100, H100, H200 and L40S capacity beyond the listed configurations is only available with a committed spend contract
  • The pricing page publishes no free tier allowance

Pricing, plan by plan

Dataiku

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

Replicate

Free
  • FreeFree
    • Limited free credits
    • Public models
  • Pay-per-use$0.000225/per-second
    • All models
    • Private models

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.
Dataiku review

Choose Replicate if

  • You need model hosting.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want simple api.
Replicate review

Questions people ask

Is Dataiku or Replicate better?
Neither clearly leads. Dataiku starts at Free and Replicate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Replicate?
Dataiku starts at Free and Replicate at Free.
Does Dataiku or Replicate run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Replicate runs on Api, 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 Replicate is typically brought in for.
What can Dataiku do that Replicate cannot?
Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Replicate covers Model hosting, Simple API, Auto-scaling, Custom models.
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