Softwr

Machine Learning · head to head

ClearML vs Feedzai

ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Rated
-
Full reviewWebsite
Feedzai logo

Feedzai

Cybersecurity

Real-time transaction fraud and financial crime detection for banks and payment processors

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only ClearML has a free tier, so it costs nothing to try first.
  • Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; Feedzai pricing is per transaction with an annual minimum, so a bank with seasonal or growing volume commits to a floor it may not use and pays overage above the band.
  • They diverge on capability: ClearML covers Experiment tracking, Feedzai covers Real-time scoring.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which ClearML and Feedzai actually diverge.

Attributes where ClearML and Feedzai differ
AttributeClearMLFeedzai
Starting priceFreeOn request
Pricing modelOpen-source self-hosted, with paid hosted and enterprise tiersquote
Free tierYesNo
PlatformsLinux, macOS, Windows, Docker, KubernetesWeb, Linux
CategoryMachine LearningCybersecurity

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 ClearML

  • Experiment tracking
  • Remote execution
  • Data versioning
  • Pipelines

Only in Feedzai

  • Real-time scoring
  • Rule and model hybrid
  • Case manager
  • Behavioural biometrics
  • Model explainability
  • Deployment options

What people use each for

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

ClearML

  • Tracking experiments across a team so results are reproduciblenot Feedzai
  • Moving training from laptops to shared GPU hardware without repackagingnot Feedzai
  • Versioning datasets alongside the experiments that consumed themnot Feedzai

Feedzai

  • A bank joining an instant payments scheme where transfers are irrevocable and post-hoc recovery is impossiblenot ClearML
  • A card issuer whose existing rules engine cannot be changed without a release, so fraud waves run for daysnot ClearML
  • An acquirer needing per-merchant risk models rather than one portfolio-wide modelnot ClearML
  • A bank required by its regulator to explain automated declines to customers, which rules out opaque scoringnot ClearML

Where each one falls short

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

ClearML

  • Broad scope means more to learn and more to run than a focused tracking tool
  • Self-hosting the server is real infrastructure — database, file storage and web server
  • Documentation quality is uneven across the newer parts of the platform
  • Smaller community than the most popular tracking tools, so fewer worked examples exist

Feedzai

  • Pricing is per transaction with an annual minimum, so a bank with seasonal or growing volume commits to a floor it may not use and pays overage above the band.
  • It sits in the authorisation path, which makes every upgrade a change-controlled event with rollback plans, and the operational burden falls on the bank rather than the vendor.
  • Out of the box models need months of the customer own labelled fraud history before they beat the rules they replace, so the value case starts late.
  • AML and fraud are licensed as separate modules, so institutions expecting one platform fee find the transaction monitoring capability is a second line item.
  • The buyer profile is large institutions, so smaller banks and fintechs face minimums that make per-transaction economics unattractive below significant scale.

Pricing, plan by plan

ClearML

Free
  • Open sourceFree
    • Experiment tracking
    • Pipelines
    • Self-hosted server

Feedzai

On request
  • Feedzai Financial Crime Platform$undefined/year
    • Priced by transaction volume with annual minimum commitment
    • Modules for fraud, AML and account opening licensed separately
    • Cloud, private cloud and on-premises deployment

Which should you pick?

Choose ClearML if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes.
  • You also want remote execution.
ClearML review

Choose Feedzai if

  • You need real-time scoring.
  • You work on Web, Linux.
  • You also want rule and model hybrid.
Feedzai review

Questions people ask

Is ClearML or Feedzai better?
Neither clearly leads. ClearML starts at Free and Feedzai at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClearML or Feedzai?
ClearML has a free tier; the other does not. Paid plans start at Free for ClearML and On request for Feedzai.
Does ClearML or Feedzai run on more platforms?
ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Feedzai runs on Web, Linux.
Can I use ClearML for free?
Yes. ClearML has a free tier, so you can try it without paying. Feedzai starts at On request.
What is ClearML best used for?
ClearML is most often used for tracking experiments across a team so results are reproducible, moving training from laptops to shared gpu hardware without repackaging, versioning datasets alongside the experiments that consumed them. Of those, tracking experiments across a team so results are reproducible and moving training from laptops to shared gpu hardware without repackaging are not what Feedzai is typically brought in for.
What can ClearML do that Feedzai cannot?
ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Feedzai covers Real-time scoring, Rule and model hybrid, Case manager, Behavioural biometrics.

Answered from the vendors’ own pages

ClearML: Is ClearML free?

The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.

Feedzai: Can Feedzai run on-premises?

Yes. On-premises and private cloud deployments are supported, which is why it appears in markets where transaction data cannot legally leave the country.

ClearML: How much code does tracking require?

Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.

Feedzai: Does it cover AML as well as fraud?

It does, but transaction monitoring is a separately licensed module. Assume two line items if you want both.

ClearML: Does ClearML replace MLflow?

It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.

Feedzai: How fast are decisions?

Designed for the authorisation window, typically tens of milliseconds. This is the constraint that rules out batch scoring architectures.

Share

Related pages

More on ClearML

More on Feedzai

Keep looking

Other head to heads