Is Quantexa or Sardine better?

Neither clearly leads. Quantexa starts at On request and Sardine at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, Quantexa or Sardine?

Quantexa starts at On request and Sardine at On request.

Does Quantexa or Sardine run on more platforms?

Quantexa runs on Web, Linux. Sardine runs on Web, iOS, Android.

What is Quantexa best used for?

Quantexa is most often used for a bank whose aml alert backlog is dominated by false positives and wants network context to close them faster, sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholder, merging customer records across retail, commercial and wealth divisions after an acquisition to see total exposure, a tax or benefits agency looking for organised fraud rings rather than individual claimants. Of those, a bank whose aml alert backlog is dominated by false positives and wants network context to close them faster and sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholder are not what Sardine is typically brought in for.

What can Quantexa do that Sardine cannot?

Quantexa covers Entity resolution, Network generation, Contextual monitoring, Investigation workspace. Sardine covers Device intelligence, Behaviour biometrics, Scam detection, Onboarding risk scoring.

Cybersecurity · head to head

Quantexa vs Sardine

Quantexa

Cybersecurity

Entity resolution and network analytics for financial crime investigation

From: On request
Rated: -

Full review Website

Sardine

Cybersecurity

Device intelligence and behaviour biometrics for fraud and compliance

From: On request
Rated: -

Full review Website

The short version

Each has a real cost: Quantexa pricing is never published and lands in the seven figure range annually for a tier one deployment, so it is out of reach for mid-sized institutions no matter how well the analytics would fit.; Sardine signal quality depends on the SDK being embedded in your own web and mobile clients, so fraud improvements become dependent on your app release cycle and any coverage gap is a blind spot.
They diverge on capability: Quantexa covers Entity resolution, Sardine covers Device intelligence.
Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Quantexa and Sardine actually diverge.

Attributes where Quantexa and Sardine differ
Attribute	Quantexa	Sardine
Platforms	Web, Linux	Web, iOS, Android

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Cybersecurity).

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 Quantexa

Entity resolution
Network generation
Contextual monitoring
Investigation workspace
Data fusion
Deployment on customer cloud

Only in Sardine

Device intelligence
Behaviour biometrics
Scam detection
Onboarding risk scoring
AML transaction monitoring
Dispute and chargeback handling
Rules editor

What people use each for

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

Quantexa

A bank whose AML alert backlog is dominated by false positives and wants network context to close them fasternot Sardine
Sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholdernot Sardine
Merging customer records across retail, commercial and wealth divisions after an acquisition to see total exposurenot Sardine
A tax or benefits agency looking for organised fraud rings rather than individual claimantsnot Sardine

Sardine

A neobank losing money to authorised push payment scams where the customer genuinely approved the transfernot Quantexa
A crypto exchange trying to detect accounts being operated by remote access rather than by their ownernot Quantexa
A fintech seeing synthetic identity signups that pass document verification but share device characteristicsnot Quantexa
A lender wanting first party fraud signals at application time that a credit bureau file does not containnot Quantexa

Where each one falls short

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

Quantexa

Pricing is never published and lands in the seven figure range annually for a tier one deployment, so it is out of reach for mid-sized institutions no matter how well the analytics would fit.
Output quality is bounded by input data quality, and organisations without governed customer data spend the first phase of the programme fixing feeds rather than catching criminals.
Implementation typically requires a systems integrator and runs into quarters rather than weeks, so the business case has to survive a long period with no operational benefit.
The platform augments rather than replaces existing transaction monitoring, so you keep paying for the incumbent system alongside it and total compliance technology spend rises before it falls.
Skills are scarce; the platform needs people who understand both Spark scale data engineering and financial crime typologies, and those people are hard to recruit and easy to lose.

Sardine

Signal quality depends on the SDK being embedded in your own web and mobile clients, so fraud improvements become dependent on your app release cycle and any coverage gap is a blind spot.
Behavioural and device telemetry collection needs a documented lawful basis under GDPR, and EU privacy reviews frequently delay rollouts that were scoped as engineering work.
Pricing is per session or per active user, so a consumer product with many low value sessions pays in proportion to traffic rather than to fraud exposure.
As a younger private company it lacks the enforcement-tested audit history that a bank examiner expects, which makes it a harder sell inside a regulated bank than inside a fintech.
It is strongest on session-time signals and weaker as a system of record for long horizon AML typologies, so larger institutions end up running it alongside a traditional monitoring platform rather than instead of one.

Pricing, plan by plan

Quantexa

On request

Quantexa Platform$undefined/year
- Entity resolution and network generation
- Deployed in customer cloud tenancy
- Priced by data volume and use case count

Sardine

On request

Sardine$undefined/year
- Priced per user session or per monthly active user
- Annual contract with volume commitment
- SDK for web, iOS and Android

Which should you pick?

Choose Quantexa if

You need entity resolution.
You work on Web, Linux.
You also want network generation.

Quantexa review

Choose Sardine if

You need device intelligence.
You work on Web, iOS, Android.
You also want behaviour biometrics.

Sardine review

Questions people ask

Is Quantexa or Sardine better?: Neither clearly leads. Quantexa starts at On request and Sardine at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Quantexa or Sardine?: Quantexa starts at On request and Sardine at On request.
Does Quantexa or Sardine run on more platforms?: Quantexa runs on Web, Linux. Sardine runs on Web, iOS, Android.
What is Quantexa best used for?: Quantexa is most often used for a bank whose aml alert backlog is dominated by false positives and wants network context to close them faster, sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholder, merging customer records across retail, commercial and wealth divisions after an acquisition to see total exposure, a tax or benefits agency looking for organised fraud rings rather than individual claimants. Of those, a bank whose aml alert backlog is dominated by false positives and wants network context to close them faster and sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholder are not what Sardine is typically brought in for.
What can Quantexa do that Sardine cannot?: Quantexa covers Entity resolution, Network generation, Contextual monitoring, Investigation workspace. Sardine covers Device intelligence, Behaviour biometrics, Scam detection, Onboarding risk scoring.

Answered from the vendors’ own pages

Quantexa: Does Quantexa replace our transaction monitoring system?

No. It usually sits alongside it, adding network context to the alerts that system generates and to investigations.

Sardine: Does Sardine do document verification?

It focuses on device, behavioural and transaction signals, and integrates identity verification providers rather than being one. Treat it as complementary to a KYC vendor.

Quantexa: Where does our data go?

Into your own cloud tenancy in the normal deployment model. Quantexa does not require you to send customer data to a shared multi-tenant service.

Sardine: What does it need from us to work?

An SDK in your web and mobile applications plus transaction feeds. Without the client side collector you lose the signals that differentiate it.

Quantexa: How is it priced?

Not publicly. Expect an annual subscription scaled by data volume and number of use cases, plus separate implementation cost.

Sardine: Is pricing published?

No. It is quoted, typically per session or per monthly active user with an annual volume commitment.

Quantexa vs Sardine

Quantexa

Sardine

The short version

Where they differ

What each one covers

Only in Quantexa

Only in Sardine

What people use each for

Quantexa

Sardine

Where each one falls short

Quantexa

Sardine

Pricing, plan by plan

Quantexa

Sardine

Which should you pick?

Choose Quantexa if

Choose Sardine if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on Quantexa

More on Sardine

Keep looking

Other head to heads