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Databases · head to head

ClickHouse vs Dataiku

ClickHouse logo

ClickHouse

Databases

Fast open-source column-oriented database for real-time analytics

From
Free
Rated
-
Full reviewWebsite
Dataiku logo

Dataiku

Machine Learning

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
  • They diverge on capability: ClickHouse covers Column-oriented Storage, Dataiku covers Visual data prep.

Where they differ

Only the attributes on which ClickHouse and Dataiku actually diverge.

Attributes where ClickHouse and Dataiku differ
AttributeClickHouseDataiku
Pricing modelUnknownfreemium
PlatformsLinux, macOS, Windows (via Docker)Linux, Mac, Windows, Web
CategoryDatabasesMachine Learning
Founded20212013

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 ClickHouse

  • Column-oriented Storage
  • Real-time Analytics
  • SQL Support
  • Linear Scalability
  • Data Compression
  • Vectorized Query Execution
  • Approximate Calculations
  • Kafka

Only in Dataiku

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

Both cover

  • Linux support
  • Mac support
  • Web support

What people use each for

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

ClickHouse

  • Business intelligencenot Dataiku
  • Data warehousingnot Dataiku
  • Real-time analyticsnot Dataiku
  • Reportingnot Dataiku
  • Machine learningnot Dataiku

Dataiku

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

Where each one falls short

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

ClickHouse

  • Limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
  • Requires upfront schema design discipline with MergeTree engine choices and sort/partition keys
  • Experimental vector search support, not production-ready for vector operations
  • Different query syntax from standard SQL requiring migration planning
  • Limited JOIN capabilities compared to traditional relational databases
  • Migration complexity with 2-4 weeks estimated for data type mapping and query translation

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

ClickHouse

Free

No published plan breakdown. See the ClickHouse review.

Dataiku

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

Which should you pick?

Choose ClickHouse if

  • You need column-oriented storage.
  • You want to start without paying.
  • You work on Linux, macOS, Windows (via Docker).
  • You also want real-time analytics.
ClickHouse 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 ClickHouse or Dataiku better?
Neither clearly leads. ClickHouse 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, ClickHouse or Dataiku?
ClickHouse starts at Free and Dataiku at Free.
Does ClickHouse or Dataiku run on more platforms?
ClickHouse runs on Linux, macOS, Windows (via Docker). Dataiku runs on Linux, Mac, Windows, Web.
Can I use ClickHouse for free?
Both have a free tier, so you can try either at no cost before committing.
What is ClickHouse best used for?
ClickHouse is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what Dataiku is typically brought in for.
What can ClickHouse do that Dataiku cannot?
ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Both handle Linux support, Mac support, Web support.

Answered from the vendors’ own pages

ClickHouse: What is ClickHouse best used for?

ClickHouse is optimized for analytical workloads on large datasets. It excels at fast aggregations and queries, being 10-100x faster than PostgreSQL on large aggregations.

Source
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
ClickHouse: Does ClickHouse support transactions?

ClickHouse has limited transaction support and expensive UPDATE/DELETE operations. It is not suitable for transactional workloads requiring strict ACID guarantees.

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
ClickHouse: How does ClickHouse compare to PostgreSQL?

ClickHouse is 10-100x faster for analytics but PostgreSQL is better for transactional workloads. Many teams use both: PostgreSQL for writes via MaterializedPostgreSQL replication to ClickHouse for analytics.

Source
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