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Accounting and finance ⇄ Database

Adyen to Amazon Aurora integration — real-time, two-way sync

Keep Adyen and Amazon Aurora in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Adyen and Amazon Aurora

Work with Adyen's financial data straight from Amazon Aurora: read it with ordinary queries, write to it from your own code, and let Stacksync keep both sides consistent.

Engineers need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.

Stacksync mirrors Payments, Modifications (Captures, Refunds, Cancels), Payment Links, Merchant Accounts from Adyen into Materialized Views, Columns and Data Types, Primary and Foreign Keys, Read Replicas in Amazon Aurora and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Amazon Aurora, and rows your code writes or updates flow back into Adyen with validation, so the finance system stays the system of record.

Common use cases

  • 01 Create Adyen Payment Links from an invoicing or billing system and sync each link's paid or expired status back so accounts receivable sees payment without opening the Customer Area.
  • 02 Provision Stores, Users, and API credentials through the Management API from an internal admin app or IdP so new locations and staff get the right Adyen access automatically.
  • 03 Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.
  • 04 Consolidate several Aurora clusters into one reporting database.

Common sync patterns

Write back safely

Updates written to the synced tables in Amazon Aurora propagate into Adyen, so automations can create or correct finance records without custom integration code.

React to financial events

Changes in Adyen appear in Amazon Aurora as row changes, so you can trigger downstream logic with the database tooling you already use.

Query finance data like any other data

Customers, invoices, and payments from Adyen live in Amazon Aurora as regular tables or collections your team can join, index, and query.

What you can sync between Adyen and Amazon Aurora

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Adyen objects Amazon Aurora objects How this pairing syncs
Modifications (Captures, Refunds, Cancels) Actions on an authorized payment via /payments/{pspReference}/captures, /refunds, and /cancels; written to settle, return, or void funds, with results confirmed by CAPTURE and REFUND webhooks. Databases Logical databases within a cluster that scope a sync connection. Modifications (Captures, Refunds, Cancels) is specific to Adyen and Databases to Amazon Aurora — each maps to any object or custom field on the other side.
Payment Links Hosted payment link objects created through /paymentLinks; created, retrieved, and expired, with paid or expired status reported back through webhooks for accounts-receivable sync. Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Payment Links is specific to Adyen and Schemas to Amazon Aurora — each maps to any object or custom field on the other side.
Merchant Accounts Company and merchant account entities in the Management API; read and updated to keep account configuration, payment-method settings, and capabilities aligned with internal systems. Tables Relational tables synced bi-directionally at row level. Merchant Accounts is specific to Adyen and Tables to Amazon Aurora — each maps to any object or custom field on the other side.
Stores Physical and online store entities under a merchant account (Management API); full CRUD, so new locations and their payment-method configuration can be provisioned from an internal admin source. Views Read-only query-backed sources for downstream syncs. Stores is specific to Adyen and Views to Amazon Aurora — each maps to any object or custom field on the other side.
Users and API Credentials Customer Area users and API-credential objects managed via the Management API; created, updated, and deprovisioned to keep Adyen access aligned with an IdP or HR source. Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Users and API Credentials is specific to Adyen and Materialized Views to Amazon Aurora — each maps to any object or custom field on the other side.
Webhook Configurations Per-company or per-merchant webhook subscriptions (Management API); created, listed, and updated to control which events Adyen sends and to which endpoint and HMAC key. Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Webhook Configurations is specific to Adyen and Columns and Data Types to Amazon Aurora — each maps to any object or custom field on the other side.

How changes propagate between Adyen and Amazon Aurora

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Adyen Amazon Aurora Sub-second propagation

DetectionAdyen notifies Stacksync of record changes through webhook events. Standard webhooks for payment events (AUTHORISATION, CAPTURE, REFUND, CHARGEBACK, and more) plus Management, Balance Platform, and report webhooks.

DeliveryEach detected change is applied to Amazon Aurora as a row-level write, with types converted between the two schemas.

Amazon Aurora Adyen Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

DeliveryEach detected change is written to Adyen through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Adyen: Adyen does not publish fixed numeric rate limits; excessive requests return HTTP 429, and the Management API reports 'too many requests' in the error detail. Adyen recommends exponential backoff, and no rate-limit response headers are documented.
  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
What ships with Adyen ⇄ Amazon Aurora

Connect Adyen and Amazon Aurora for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adyen–Amazon Aurora connection.

Real-time

Two-way sync

Changes in Adyen or Amazon Aurora instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Adyen or Amazon Aurora data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Adyen or Amazon Aurora record.

Observability

Monitoring

Track your Adyen ⇄ Amazon Aurora sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Adyen and Amazon Aurora.

How the Adyen and Amazon Aurora connectors work

Adyen

Integration surface
REST APIs on adyen.com - Checkout (/checkout/v71), Management (/v3), Balance Platform / Configuration, Transfers, Payouts, and Reports, with standard webhooks for events
Authentication
API key in the X-API-Key header per web service or Balance Platform user (primary for Checkout, Management, and Balance Platform); Basic auth for classic web-service users; OAuth 2.0 for partner integrations; client keys are client-side only
Change detection
Standard webhooks for payment events (AUTHORISATION, CAPTURE, REFUND, CHARGEBACK, and more) plus Management, Balance Platform, and report webhooks; all HMAC-signed and acknowledged with a 2xx within about 10 seconds. No database-style CDC; historical transactions come from Settlement Detail Reports
Capabilities
read · write · webhooks
Rate limits
Adyen does not publish fixed numeric rate limits; excessive requests return HTTP 429, and the Management API reports 'too many requests' in the error detail. Adyen recommends exponential backoff, and no rate-limit response headers are documented.

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits
How it works

How to connect Adyen to Amazon Aurora — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Adyen and Amazon Aurora with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Adyen connected
    Amazon Aurora connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Adyen and Amazon Aurora objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Adyen ⇄ Amazon Aurora
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Adyen Amazon Aurora
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Adyen and Amazon Aurora integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

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DPF US-EU-UK-CH
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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

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