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Software · head to head

Dataiku vs NocoDB

Dataiku logo

Dataiku

Software

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite
NocoDB logo

NocoDB

Software

Open-source no-code database platform with REST and GraphQL APIs

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; NocoDB the free cloud tier is capped at 3 editor seats, 1,000 records and 1 GB of storage
  • They diverge on capability: Dataiku covers Visual data prep, NocoDB covers REST API.

Where they differ

Only the attributes on which Dataiku and NocoDB actually diverge.

Attributes where Dataiku and NocoDB differ
AttributeDataikuNocoDB
Pricing modelfreemiumopen-source
PlatformsLinux, Mac, Windows, WebCloud, Self-hosted, Docker
Founded20132020

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 NocoDB

  • REST API
  • GraphQL API
  • No-code database
  • Multiple SQL databases
  • Webhooks
  • Automation
  • Cloud support
  • Self-hosted 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 NocoDB
  • Giving analysts and data scientists a shared visual and code environmentnot NocoDB

NocoDB

  • Self-hosting an open source alternative to a spreadsheet databasenot Dataiku
  • Putting a spreadsheet interface over an existing Postgres or MySQL databasenot Dataiku
  • Building internal tools on structured data with an APInot Dataiku
  • Team bases with per-field and per-table permissions on the paid tiersnot 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

NocoDB

  • The free cloud tier is capped at 3 editor seats, 1,000 records and 1 GB of storage
  • Records are the metering unit on cloud, so Plus covers 50K and Business 300K rather than scaling by seat alone
  • Row-level security, audit log retention and team hierarchy require the Scale tier
  • SCIM provisioning and air-gapped deployment are Enterprise only
  • The self-hosted Community edition is unlimited on records and seats but does without workflows, scripts and dashboards, which start at the paid self-hosted tiers

Pricing, plan by plan

Dataiku

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

NocoDB

Free
  • CommunityFree
    • Self-hosted NocoDB
    • Community support
  • Starter$5/monthly
    • Cloud hosting
    • Basic features

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 NocoDB if

  • You need rest api.
  • You want to start without paying.
  • You work on Cloud, Self-hosted, Docker.
  • You also want graphql api.
NocoDB review

Questions people ask

Is Dataiku or NocoDB better?
Neither clearly leads. Dataiku starts at Free and NocoDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or NocoDB?
Dataiku starts at Free and NocoDB at Free.
Does Dataiku or NocoDB run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. NocoDB runs on Cloud, Self-hosted, Docker.
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 NocoDB is typically brought in for.
What can Dataiku do that NocoDB cannot?
Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. NocoDB covers REST API, GraphQL API, No-code database, Multiple SQL databases.
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