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Machine Learning · head to head

Dataiku vs Proofpoint

Dataiku logo

Dataiku

Machine Learning

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

From
Free
Rated
-
Full reviewWebsite
Proofpoint logo

Proofpoint

Cybersecurity

Email security and data protection suite from a private company owned by Thoma Bravo, licensed per user with modules sold separately.

From
$6/month
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.; Proofpoint licensing is per user per year with each capability as a separate stock item, so the platform shown in a proof of concept is normally several products, and adding awareness training, data loss prevention or insider threat monitoring later is a fresh negotiation rather than enabling a feature.
  • They diverge on capability: Dataiku covers Visual Flow, Proofpoint covers Inline secure email gateway.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dataiku and Proofpoint actually diverge.

Attributes where Dataiku and Proofpoint differ
AttributeDataikuProofpoint
Starting priceFree$6/month
Pricing modelfreemiumsubscription
Free tierYesNo
PlatformsLinux, Mac, Windows, WebEmail, Cloud, Web
CategoryMachine LearningCybersecurity
Founded20132002

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 Proofpoint

  • Inline secure email gateway
  • Attachment sandboxing
  • URL rewriting and click-time analysis
  • Threat Response Auto-Pull
  • Email Fraud Defense
  • Security awareness training
  • Insider Threat Management
  • Enterprise DLP

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 Proofpoint
  • Regulated model risk environments needing documented lineage, sign-off and a record of how a production model was producednot Proofpoint
  • Pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable placenot Proofpoint
  • Large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will acceptnot Proofpoint

Proofpoint

  • A regulated organisation that needs a filtering layer, DMARC enforcement and archiving with an auditable trail across all threenot Dataiku
  • An organisation that suffered a business email compromise and must show its board a control that stops delivery rather than remediating afterwardsnot Dataiku
  • Concentrating stronger controls and training on the specific individuals who actually receive targeted attacks rather than applying uniform policynot Dataiku
  • Retracting a phishing message from thousands of mailboxes after the verdict changes, including copies that were forwarded internallynot 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.

Proofpoint

  • Licensing is per user per year with each capability as a separate stock item, so the platform shown in a proof of concept is normally several products, and adding awareness training, data loss prevention or insider threat monitoring later is a fresh negotiation rather than enabling a feature.
  • It sits inline with MX records pointed at it, so any service degradation is a mail outage for the entire organisation, and both migrating on and migrating off are cutovers with queueing, rollback planning and a real risk of message loss.
  • Most customers on Microsoft 365 E5 or Google Workspace Enterprise are already paying for native filtering, so Proofpoint is a second licence layered over a capability the organisation owns, and that comparison is raised by finance at every single renewal.
  • The administration console carries a decade of acquisitions: the classic gateway policy routes and filters do not share a model with the newer module interfaces, rule evaluation is order-sensitive in ways that surprise untrained administrators, and mistakes there silently change what is delivered.
  • Quarantine management is a standing helpdesk workload because legitimate bulk mail, invoices and supplier notifications are held, and unless end-user digests are configured and users are taught to use them, the security team becomes the mail release desk.

Pricing, plan by plan

Dataiku

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

Proofpoint

$6/month
  • Email Protection$6/month
    • Per user
    • Advanced threat detection
    • Data loss prevention
  • Compliance$8/month
    • All Email Protection
    • Archive & search
    • eDiscovery
  • Advanced Threat$10/month
    • All Compliance features
    • Targeted attack detection
    • Behavior analytics

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 Proofpoint if

  • You need inline secure email gateway.
  • You work on Email, Cloud, Web.
  • You also want attachment sandboxing.
Proofpoint review

Questions people ask

Is Dataiku or Proofpoint better?
Neither clearly leads. Dataiku starts at Free and Proofpoint at $6/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Proofpoint?
Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and $6/month for Proofpoint.
Does Dataiku or Proofpoint run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Proofpoint runs on Email, Cloud, Web.
Can I use Dataiku for free?
Yes. Dataiku has a free tier, so you can try it without paying. Proofpoint starts at $6/month.
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 Proofpoint is typically brought in for.
What can Dataiku do that Proofpoint cannot?
Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. Proofpoint covers Inline secure email gateway, Attachment sandboxing, URL rewriting and click-time analysis, Threat Response Auto-Pull.

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.

Proofpoint: Does it replace Microsoft Defender for Office 365?

Functionally it overlaps heavily, and running both means paying twice for filtering. Most Proofpoint customers on Microsoft 365 keep Defender licensed because it is bundled in E5 and use Proofpoint as the inline gateway. Expect to justify that duplication annually.

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.

Proofpoint: Who owns Proofpoint?

Thoma Bravo, a private equity firm, which took the company private in 2021. It has continued to acquire since, including Tessian, Normalyze and Hornetsecurity, which is why the portfolio spans so many adjacent categories.

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.

Proofpoint: Do I have to change my MX records?

For the gateway, yes. That is what makes it inline and able to block before delivery. Some newer capabilities integrate through the mailbox API instead, but the core protection model is MX-level.

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.

Proofpoint: Is security awareness training included?

No, it is a separate subscription. It integrates well with the threat data, so training can target the users actually being attacked, but it is a distinct line item on the quote.

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.

Proofpoint: What does Threat Response Auto-Pull actually do?

It removes messages from mailboxes after delivery when the verdict changes, including copies that users forwarded internally. It is the answer to the case where a link was clean at delivery and weaponised an hour later.

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