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Machine Learning · head to head

Dataiku vs DuckDB

Dataiku logo

Dataiku

Machine Learning

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite
DuckDB logo

DuckDB

Databases

Fast in-process analytical database

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; DuckDB client-server setup remains in beta and not recommended for production distributed scenarios
  • They diverge on capability: Dataiku covers Visual data prep, DuckDB covers In-process Execution.

Where they differ

Only the attributes on which Dataiku and DuckDB actually diverge.

Attributes where Dataiku and DuckDB differ
AttributeDataikuDuckDB
Pricing modelfreemiumopen-source
PlatformsLinux, Mac, Windows, WebLinux, macOS, Windows, WebAssembly
CategoryMachine LearningDatabases
Founded20132019

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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
  • Spark
  • Snowflake
  • Databricks

Only in DuckDB

  • In-process Execution
  • Columnar Storage
  • Vectorized Execution
  • Rich SQL Support
  • Parquet Support
  • CSV/JSON Import
  • Zero Dependencies
  • Julia

Both cover

  • Python
  • R
  • Linux support
  • Mac support
  • Windows 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 DuckDB
  • Giving analysts and data scientists a shared visual and code environmentnot DuckDB

DuckDB

  • Analytics and data warehousingnot Dataiku
  • OLAP queries and data explorationnot Dataiku
  • Data science and machine learning workflowsnot Dataiku
  • Multi-format data ingestion and processingnot 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

DuckDB

  • Client-server setup remains in beta and not recommended for production distributed scenarios

Pricing, plan by plan

Dataiku

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

DuckDB

Free

No published plan breakdown. See the DuckDB review.

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 DuckDB if

  • You need in-process execution.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, WebAssembly.
  • You also want columnar storage.
DuckDB review

Questions people ask

Is Dataiku or DuckDB better?
Neither clearly leads. Dataiku starts at Free and DuckDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or DuckDB?
Dataiku starts at Free and DuckDB at Free.
Does Dataiku or DuckDB run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. DuckDB runs on Linux, macOS, Windows, WebAssembly.
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 DuckDB is typically brought in for.
What can Dataiku do that DuckDB cannot?
Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL Support. Both handle Python, R, Linux support, Mac support.

Answered from the vendors’ own pages

Dataiku: What are Dataiku pricing tiers and costs?

Dataiku pricing information is not available on their public website. Customers must contact Dataiku sales directly to request pricing, trial access, and licensing information.

Source
DuckDB: Is DuckDB free to use?

Yes, DuckDB is completely free. There are no subscription tiers, user limits, or paid plans. The software has zero licensing costs.

Source
Dataiku: Does Dataiku offer a free tier or trial?

Free tier or trial availability for Dataiku cannot be determined from publicly accessible pages. Contact Dataiku directly to inquire about evaluation options.

Source
DuckDB: What license is DuckDB distributed under?

DuckDB is open source under the MIT License, governed by the independent DuckDB Foundation. The MIT License permits commercial use, modification, and distribution with minimal restrictions.

Source
DuckDB: Can I use DuckDB in commercial applications?

Yes, the MIT License allows commercial use without restrictions or requirements to publish proprietary code. You can deploy DuckDB anywhere from edge devices to high-core servers.

Source
DuckDB: Are there any limitations on how many instances I can run?

No, there are no user limits, usage limits, or instance restrictions. You have unlimited access to all DuckDB features.

Source
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