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Cybersecurity · head to head

Darktrace vs Dataiku

Darktrace logo

Darktrace

Cybersecurity

Autonomous threat detection and response

From
$20000/year
Rated
-
Full reviewWebsite
Dataiku logo

Dataiku

Machine Learning

Browser-based platform where visual data preparation and written code share one pipeline

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Dataiku has a free tier, so it costs nothing to try first.
  • Each has a real cost: Darktrace no pricing information published on website; vendors must request pricing through demo request form or contact sales; Dataiku visual recipes are stored as Dataiku's own configuration and do not export as runnable SQL or Python, so a Flow with hundreds of visual steps has to be rebuilt from scratch if the organisation ever leaves, and that cost rises with every project added.
  • They diverge on capability: Darktrace covers Self-learning AI, Dataiku covers Visual Flow.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Darktrace and Dataiku actually diverge.

Attributes where Darktrace and Dataiku differ
AttributeDarktraceDataiku
Starting price$20000/yearFree
Pricing modelsubscriptionfreemium
Free tierNoYes
PlatformsNetwork, Cloud, EmailLinux, Mac, Windows, Web
CategoryCybersecurityMachine Learning

Identical on both: user rating (Not yet rated), 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 Darktrace

  • Self-learning AI
  • Network anomaly detection
  • Autonomous response
  • Behavioral analysis
  • Threat model visualization
  • Email security
  • Application control
  • Incident response automation

Only in Dataiku

  • Visual Flow
  • Visual recipes
  • Code recipes and notebooks
  • Computation pushdown
  • Automated machine learning
  • Scenarios
  • Node topology
  • Governance features

What people use each for

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

Darktrace

  • Threat Detectionnot Dataiku
  • Ndrnot Dataiku
  • Incident Responsenot Dataiku

Dataiku

  • Organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extractsnot Darktrace
  • Regulated model risk environments needing documented lineage, sign-off and a record of how a production model was producednot Darktrace
  • Pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable placenot Darktrace
  • Large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will acceptnot Darktrace

Where each one falls short

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

Darktrace

  • No pricing information published on website; vendors must request pricing through demo request form or contact sales
  • No tiered pricing structure available to compare editions or select appropriate plan level before contacting sales

Dataiku

  • Visual recipes are stored as Dataiku's own configuration and do not export as runnable SQL or Python, so a Flow with hundreds of visual steps has to be rebuilt from scratch if the organisation ever leaves, and that cost rises with every project added.
  • Production requires separate automation and API nodes, each installed and licensed, so the figure quoted for building models is not the figure for running them.
  • Licensing is per user across tiers, and the lower tiers are constrained enough that occasional contributors frequently end up needing a full seat, which makes a wide rollout cost more than the initial estimate suggested.
  • A self-hosted installation needs a dedicated administrator for upgrades, connection management, permissions and node topology, so the licence is a fraction of the real cost of ownership.
  • Computation pushes down to the warehouse or Spark cluster where it is billed by that provider, so a platform sold on making analysts self-sufficient can generate a large warehouse bill that nobody attributes back to it.

Pricing, plan by plan

Darktrace

$20000/year
  • Detect$20000/year
    • Network anomaly detection
    • AI-powered threat detection
    • Compliance reporting
  • Detect & Respond$35000/year
    • All Detect features
    • Autonomous response
    • Email security
  • Enterprise$50000/year
    • All features
    • Dedicated support
    • Custom training

Dataiku

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

Which should you pick?

Choose Darktrace if

  • You need self-learning ai.
  • You work on Network, Cloud, Email.
  • You also want network anomaly detection.
Darktrace review

Choose Dataiku if

  • You need visual flow.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want visual recipes.
Dataiku review

Questions people ask

Is Darktrace or Dataiku better?
Neither clearly leads. Darktrace starts at $20000/year and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Darktrace or Dataiku?
Dataiku has a free tier; the other does not. Paid plans start at $20000/year for Darktrace and Free for Dataiku.
Does Darktrace or Dataiku run on more platforms?
Darktrace runs on Network, Cloud, Email. Dataiku runs on Linux, Mac, Windows, Web.
Can I use Dataiku for free?
Yes. Dataiku has a free tier, so you can try it without paying. Darktrace starts at $20000/year.
What is Darktrace best used for?
Darktrace is most often used for threat detection, ndr, incident response. Of those, threat detection and ndr are not what Dataiku is typically brought in for.
What can Darktrace do that Dataiku cannot?
Darktrace covers Self-learning AI, Network anomaly detection, Autonomous response, Behavioral analysis. Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown.

Answered from the vendors’ own pages

Darktrace: How much does Darktrace cost?

Darktrace does not publish pricing information on its website. To obtain pricing details and learn about available packages, customers must contact Darktrace directly by requesting a demo or reaching out through the company's contact form.

Source
Dataiku: Is there a free version?

There is a free edition with limits on users and features, adequate for evaluation and personal work. Anything a team runs in production is a negotiated commercial agreement.

Darktrace: Does Darktrace offer a free trial?

Darktrace mentions a free trial option, but specific trial length, features included, and how to access it are not published on the website. Users must contact the company directly to inquire about trial availability.

Source
Dataiku: Do I have to write code to use it?

No. That is the premise. An analyst can build a complete pipeline through visual recipes, and a data scientist can write Python next to it in the same Flow.

Dataiku: Where does the computation actually run?

Wherever you connect it. Transformations are pushed down into the warehouse, database or Spark cluster where the data lives, which is efficient and also means the compute cost appears on that provider's bill rather than Dataiku's.

Dataiku: Can I export my work if we leave?

Code recipes are your code and leave with you. Visual recipes do not export as equivalent code, so the visual portion of a Flow has to be reimplemented, and that portion tends to be the majority in the projects where the platform succeeded best.

Dataiku: Self-hosted or cloud?

Both are offered. Self-hosting gives control over data residency and networking and requires an administrator; the managed cloud removes that work and moves the constraint to what the vendor's environment supports.

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