Softwr

Software · head to head

Databricks vs Dataiku

Databricks logo

Databricks

Software

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Full reviewWebsite
Dataiku logo

Dataiku

Software

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
  • They diverge on capability: Databricks covers Delta Lake, Dataiku covers Visual data prep.

Where they differ

Only the attributes on which Databricks and Dataiku actually diverge.

Attributes where Databricks and Dataiku differ
AttributeDatabricksDataiku
Pricing modelusage-basedfreemium
PlatformsWeb, Aws, Azure, GcpLinux, Mac, Windows, Web

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown), founded (2013).

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 Databricks

  • Delta Lake
  • Apache Spark
  • MLflow
  • Unity Catalog
  • Photon Engine
  • Collaborative Notebooks
  • Auto-scaling
  • AWS

Only in Dataiku

  • Visual data prep
  • AutoML
  • MLOps
  • Collaboration
  • Governence
  • Python
  • R
  • Spark

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

Databricks

  • Running Spark data engineering pipelines on managed clustersnot Dataiku
  • Building a lakehouse over data in cloud object storagenot Dataiku
  • Training and serving machine learning models alongside the datanot Dataiku

Dataiku

  • Building and deploying data science and machine learning pipelinesnot Databricks
  • Giving analysts and data scientists a shared visual and code environmentnot Databricks

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Databricks

  • Cloud compute is billed separately by the cloud provider on top of Databricks DBU charges
  • The free trial lasts 14 days
  • Discounts require a Committed Use Contract, with larger commitments needed for larger discounts
  • Azure Databricks pricing is set by Microsoft rather than by Databricks
  • Security and compliance capabilities are sold as separate platform add ons rather than included in the base rate

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

Databricks

Free
  • Community EditionFree
    • Limited cluster
    • Notebook environment
    • Community support
  • Standard$0.07/DBU
    • Jobs compute
    • SQL compute
    • Standard support

Dataiku

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

Which should you pick?

Choose Databricks if

  • You need delta lake.
  • You want to start without paying.
  • You work on Web, Aws, Azure, Gcp.
  • You also want apache spark.
Databricks review

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

Questions people ask

Is Databricks or Dataiku better?
Neither clearly leads. Databricks starts at Free and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databricks or Dataiku?
Databricks starts at Free and Dataiku at Free.
Does Databricks or Dataiku run on more platforms?
Databricks runs on Web, Aws, Azure, Gcp. Dataiku runs on Linux, Mac, Windows, Web.
Can I use Databricks for free?
Both have a free tier, so you can try either at no cost before committing.
What is Databricks best used for?
Databricks is most often used for running spark data engineering pipelines on managed clusters, building a lakehouse over data in cloud object storage, training and serving machine learning models alongside the data. Of those, running spark data engineering pipelines on managed clusters and building a lakehouse over data in cloud object storage are not what Dataiku is typically brought in for.
What can Databricks do that Dataiku cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Both handle Web support.
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on Databricks

More on Dataiku

Keep looking

Other head to heads