◆ Gentoo Logic · Modeling Warehouse

Architecture comparison

Adyen vs Stripe

Stripe runs closer to the foundational model (Native (own / self-hosted weights)) than Adyen (Off the LLM map (in-house non-LLM ML)). No shared foundational model — different bets.

Adyen

FinTech

Proximity
Off the LLM map (in-house non-LLM ML)
Models
—
Cloud · datastore
On-PremPostgreSQL
Compliance
PCI DSS Level 1SOC 2ISO 27001
Architecture

Unusually for its scale, runs its own data centers (not a hyperscaler) on a single Java platform over PostgreSQL for full control of the payment path. RevenueProtect fraud scoring is in-house ML.

Stripe

FinTech

Proximity
Native (own / self-hosted weights)
Models
proprietary / self-built models
Cloud · datastore
AWSMongoDBcustom sharded DB (DocDB)
Compliance
SOC 2PCI DSS Level 1HIPAA
Architecture

AWS-based payments platform built on a large MongoDB deployment fronted by an in-house sharding/transaction layer (DocDB). Radar fraud detection is in-house ML; a payments foundation model was trained on transaction data.

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