Cybersecurity · head to head
Baffle vs Paymentology

Baffle
Cybersecurity
Transparent proxy that encrypts, tokenises and masks database fields without application code changes
- From
- On request
- Rated
- -

Paymentology
APIs
Cloud issuer processing across emerging and developed markets
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Baffle the proxy sits in the production data path, so it becomes a latency contributor and a failure domain, and any deployment needs load and failover testing that customers routinely underestimate.; Paymentology paymentology processes but does not hold issuing licences, so every market still needs your own licence or a sponsor bank, which is usually the slowest and most expensive part of a launch.
- They diverge on capability: Baffle covers Transparent proxy deployment, Paymentology covers Global issuer processing.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Baffle and Paymentology actually diverge.
| Attribute | Baffle | Paymentology |
|---|---|---|
| Platforms | Linux, Web | Web, API |
| Category | Cybersecurity | APIs |
Identical on both: starting price (On request), pricing model (quote), free tier (No), 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 Baffle
- Transparent proxy deployment
- Field-level encryption
- Format-preserving de-identification
- Dynamic data masking
- Bring your own key
- Analytics and pipeline support
- AI pipeline protection
Only in Paymentology
- Global issuer processing
- Real time transaction data
- Virtual and physical issuance
- Multi currency and multi product
- Card controls
- Programme management tools
- Fraud and risk integration
Both cover
- Tokenisation
What people use each for
The jobs each tool is most often brought in to do.
Baffle
- A bank with a legacy application it cannot safely refactor that has an audit finding requiring field-level encryption of account datanot Paymentology
- A company wanting to take a reporting database out of PCI scope by tokenising card fields before they landnot Paymentology
- A healthcare organisation that must ensure database administrators and cloud operators cannot read patient identifiers in the tables they administernot Paymentology
- A team moving regulated data into a warehouse or an AI retrieval pipeline that needs identifiers de-identified in transit without rewriting the ingest jobsnot Paymentology
Paymentology
- A neobank launching cards in an African or South East Asian market where hosted United States processors have no certificationnot Baffle
- A mobile money operator adding a card product on top of an existing wallet basenot Baffle
- A bank consolidating several regional card processors onto one platformnot Baffle
- A fintech expanding an existing card programme into the Gulf without re platformingnot Baffle
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Baffle
- The proxy sits in the production data path, so it becomes a latency contributor and a failure domain, and any deployment needs load and failover testing that customers routinely underestimate.
- What you can still do in SQL depends on the protection mode chosen, and stronger modes restrict comparisons, joins and aggregations on protected columns, which can quietly break existing reports and analytics.
- Database and driver coverage is finite, so an organisation with an unusual engine, an old driver or heavy use of stored procedures may find its most important system is exactly the one not supported.
- Pricing is unpublished and scales with protected data stores, which means an enterprise trying to protect a long tail of small databases pays disproportionately compared with protecting a handful of large ones.
- Key management is your responsibility under bring your own key, and while that is the correct security posture, it moves a real operational burden and a genuine data-loss risk onto the customer.
Paymentology
- Paymentology processes but does not hold issuing licences, so every market still needs your own licence or a sponsor bank, which is usually the slowest and most expensive part of a launch.
- Fees include per active card charges and monthly minimums, so a portfolio with many dormant cards pays for plastic that generates no interchange.
- Certification, settlement and scheme relationships differ by country, so a multi market rollout is a series of separate projects rather than one integration.
- As a processor it sits between your product and the networks, meaning outages and scheme mandate changes reach your cardholders through a party you do not control.
- Documentation and developer self service are weaker than the United States hosted processors, so early integration depends heavily on Paymentology implementation staff.
Pricing, plan by plan
Baffle
On request- Baffle Data Protection Services$undefined/year
- Quoted by protected data stores and deployment scale
- Self-managed and cloud marketplace deployment options
- Annual subscription
Paymentology
On request- Paymentology processing$undefined/year
- Quoted per programme and per market
- Typically per transaction and per active card fees plus a monthly minimum
- Issuing licence or sponsor bank required in each market and not provided
Which should you pick?
Choose Baffle if
- You need transparent proxy deployment.
- You work on Linux, Web.
- You also want field-level encryption.
Choose Paymentology if
- You need global issuer processing.
- You work on Web, API.
- You also want real time transaction data.
Questions people ask
- Is Baffle or Paymentology better?
- Neither clearly leads. Baffle starts at On request and Paymentology at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Baffle or Paymentology?
- Baffle starts at On request and Paymentology at On request.
- Does Baffle or Paymentology run on more platforms?
- Baffle runs on Linux, Web. Paymentology runs on Web, API.
- What is Baffle best used for?
- Baffle is most often used for a bank with a legacy application it cannot safely refactor that has an audit finding requiring field-level encryption of account data, a company wanting to take a reporting database out of pci scope by tokenising card fields before they land, a healthcare organisation that must ensure database administrators and cloud operators cannot read patient identifiers in the tables they administer, a team moving regulated data into a warehouse or an ai retrieval pipeline that needs identifiers de-identified in transit without rewriting the ingest jobs. Of those, a bank with a legacy application it cannot safely refactor that has an audit finding requiring field-level encryption of account data and a company wanting to take a reporting database out of pci scope by tokenising card fields before they land are not what Paymentology is typically brought in for.
- What can Baffle do that Paymentology cannot?
- Baffle covers Transparent proxy deployment, Field-level encryption, Format-preserving de-identification, Dynamic data masking. Paymentology covers Global issuer processing, Real time transaction data, Virtual and physical issuance, Multi currency and multi product. Both handle Tokenisation.
Answered from the vendors’ own pages
Baffle: Do applications need code changes?
No. That is the central design choice. Baffle intercepts traffic as a proxy rather than requiring an SDK call at every read and write.
Paymentology: Does Paymentology provide the BIN and licence?
No. You need your own issuing licence or a sponsor bank in each market; Paymentology processes the transactions.
Baffle: Can you still query encrypted columns?
Partly, and it depends on the protection mode. Some modes preserve equality matching and format, stronger modes restrict what SQL operations remain possible, so this must be tested against your actual queries.
Paymentology: What is the actual pricing model?
Per transaction and per active card, with a monthly minimum. Dormant cards still cost, so model your activation rate.
Baffle: Does it take systems out of PCI scope?
Tokenisation can reduce scope by ensuring card data never lands in the protected system, but scope reduction is an assessor judgement, not a product setting.
Paymentology: Why choose it over a United States issuer processor?
Network certification and live programmes in markets where those processors do not operate, which decides feasibility rather than preference.
Baffle: Who holds the encryption keys?
You do, through your own key management service. Baffle supports bring your own key rather than holding customer keys itself.
Related pages
More on Paymentology
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