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Machine Learning · head to head

Dataiku vs Varonis Data Security Platform

Dataiku logo

Dataiku

Machine Learning

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

From
Free
Rated
-
Full reviewWebsite
Varonis Data Security Platform logo

Varonis Data Security Platform

Cybersecurity

Data security platform that maps effective permissions, content classification and access activity across file shares, Microsoft 365 and SaaS.

From
$100/year
Rated
-
Full reviewWebsite

The short version

  • Only Dataiku has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; Varonis Data Security Platform deployment is a project rather than an installation: collectors, service accounts, the initial crawl of a large file estate and behavioural baselining typically run for weeks to months before the first genuinely useful report, so value arrives well after the invoice does.
  • They diverge on capability: Dataiku covers Visual Flow, Varonis Data Security Platform covers Effective permissions modelling.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dataiku and Varonis Data Security Platform actually diverge.

Attributes where Dataiku and Varonis Data Security Platform differ
AttributeDataikuVaronis Data Security Platform
Starting priceFree$100/year
Pricing modelfreemiumsubscription
Free tierYesNo
PlatformsLinux, Mac, Windows, WebWeb, Desktop
CategoryMachine LearningCybersecurity
Founded20132005

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

Only in Varonis Data Security Platform

  • Effective permissions modelling
  • Content classification
  • Access activity auditing
  • Behavioural alerting
  • Blast radius view
  • Automated remediation
  • Stale data identification
  • Ransomware detection

What people use each for

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

Dataiku

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

Varonis Data Security Platform

  • Answering an auditor or a board asking exactly which sensitive files are reachable by every employee and who has opened themnot Dataiku
  • Cleaning up Microsoft 365 sprawl where Teams, SharePoint sites and shared links accumulated faster than governancenot Dataiku
  • Investigating an insider incident where you need a defensible record of what a departing employee accessed and whennot Dataiku
  • Reducing the blast radius of a compromised account before an incident by removing global access groups and broken inheritancenot Dataiku

Where each one falls short

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

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.

Varonis Data Security Platform

  • Deployment is a project rather than an installation: collectors, service accounts, the initial crawl of a large file estate and behavioural baselining typically run for weeks to months before the first genuinely useful report, so value arrives well after the invoice does.
  • The collection model requires granting the platform broad read access across the data you are trying to protect, which needs its own approval and creates a high-value target, and some change boards spend longer approving that access than approving the purchase.
  • Findings are produced far faster than remediation capacity: an initial scan routinely surfaces hundreds of thousands of overexposed objects, and fixing them means altering permissions owned by business units, so without an executive mandate it becomes a dashboard nobody acts on.
  • Licensing is driven by identity counts and connected data sources, so a directory full of stale accounts and service principals inflates the bill and every additional platform you connect adds cost, which quietly pushes organisations to leave their least-governed systems uncovered.
  • Coverage is deepest in the Microsoft estate and thinner elsewhere: connectors exist for other SaaS and database platforms but they do not all support the same classification, alerting and automated remediation, so a heterogeneous estate receives uneven protection at a uniform price.

Pricing, plan by plan

Dataiku

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

Varonis Data Security Platform

$100/year
  • Varonis Essentials$100/year
    • Data classification
    • Access visibility
    • Permission management
  • Varonis Professional$175/year
    • All Essentials features
    • Threat detection
    • User behavior analytics
  • Varonis Enterprise$300/year
    • All Professional features
    • Advanced analytics
    • Incident response

Which should you pick?

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

Choose Varonis Data Security Platform if

  • You need effective permissions modelling.
  • You work on Web, Desktop.
  • You also want content classification.
Varonis Data Security Platform review

Questions people ask

Is Dataiku or Varonis Data Security Platform better?
Neither clearly leads. Dataiku starts at Free and Varonis Data Security Platform at $100/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Varonis Data Security Platform?
Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and $100/year for Varonis Data Security Platform.
Does Dataiku or Varonis Data Security Platform run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Varonis Data Security Platform runs on Web, Desktop.
Can I use Dataiku for free?
Yes. Dataiku has a free tier, so you can try it without paying. Varonis Data Security Platform starts at $100/year.
What is Dataiku best used for?
Dataiku is most often used for organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extracts, regulated model risk environments needing documented lineage, sign-off and a record of how a production model was produced, pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable place, large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will accept. Of those, organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extracts and regulated model risk environments needing documented lineage, sign-off and a record of how a production model was produced are not what Varonis Data Security Platform is typically brought in for.
What can Dataiku do that Varonis Data Security Platform cannot?
Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. Varonis Data Security Platform covers Effective permissions modelling, Content classification, Access activity auditing, Behavioural alerting.

Answered from the vendors’ own pages

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.

Varonis Data Security Platform: Is this data loss prevention?

No, and it is a common confusion. DLP watches data in motion and tries to stop it leaving. Varonis works on data at rest: where it is, who can reach it, and who touched it. They address different halves of the same problem and organisations frequently run both.

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.

Varonis Data Security Platform: On-premises or SaaS?

It is now sold principally as SaaS, with edge collectors deployed on your network to reach on-premises file shares and directories. Older on-premises deployments with Windows collectors and SQL Server still exist in the field and are being migrated.

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.

Varonis Data Security Platform: Does it need agents on every server?

Generally no. It collects through APIs and network protocols with service accounts, with collectors deployed near the data rather than agents on every host. That is one reason deployment is less invasive than the scale of the data suggests.

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.

Varonis Data Security Platform: How long until it is useful?

Expect weeks to a few months depending on the size of the file estate and how quickly the service accounts and access are approved. The classification and behavioural baselining both need time before the alerts mean anything.

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.

Varonis Data Security Platform: Can it fix the problems it finds automatically?

Yes, it can remove global access groups, repair broken inheritance and quarantine exposed files under policy. Most organisations run this in simulation first, because automatically changing permissions on live business data goes wrong loudly.

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