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Accounting and finance ⇄ Database

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

Keep Adyen and AWS Aurora MySQL 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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Why teams connect Adyen and AWS Aurora MySQL

Work with Adyen's financial data straight from AWS Aurora MySQL: 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 Views, Foreign keys, Stored procedures and triggers, Databases (schemas) in AWS Aurora MySQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against AWS Aurora MySQL, 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 Ingest AUTHORISATION, CAPTURE, REFUND, and CHARGEBACK webhooks into Postgres or a warehouse so finance reconciles Adyen settlements against orders in an ERP without manual report exports.
  • 02 Trigger a capture, refund, or cancel on an Adyen payment when an order's state changes in a CRM, OMS, or ERP, and write the returned pspReference and status back onto the record.
  • 03 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
  • 04 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.

Common sync patterns

Write back safely

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

React to financial events

Changes in Adyen appear in AWS Aurora MySQL 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 AWS Aurora MySQL as regular tables or collections your team can join, index, and query.

What you can sync between Adyen and AWS Aurora MySQL

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 AWS Aurora MySQL objects How this pairing syncs
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 The primary sync unit; each table maps one-to-one to a table or object in the paired system. Merchant Accounts is specific to Adyen and Tables to AWS Aurora MySQL — 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. Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Stores is specific to Adyen and Rows to AWS Aurora MySQL — 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. Columns MySQL data types are mapped to the paired system's field types during schema setup. Users and API Credentials is specific to Adyen and Columns to AWS Aurora MySQL — 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. Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Webhook Configurations is specific to Adyen and Primary keys and indexes to AWS Aurora MySQL — each maps to any object or custom field on the other side.
Settlement Detail Reports Downloadable reports of settled transactions, fees, and payouts per merchant account; read-only, delivered when a report webhook fires, and loaded for finance reconciliation. Views Can serve as read-only sync sources for derived or filtered datasets. Settlement Detail Reports is specific to Adyen and Views to AWS Aurora MySQL — each maps to any object or custom field on the other side.
Payments Checkout API payment requests and results (/payments); created to authorize a card, wallet, or local payment, and retrieved by pspReference. Final state arrives asynchronously via the AUTHORISATION webhook. Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Payments is specific to Adyen and Foreign keys to AWS Aurora MySQL — each maps to any object or custom field on the other side.

How changes propagate between Adyen and AWS Aurora MySQL

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 AWS Aurora MySQL 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 AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

AWS Aurora MySQL Adyen Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

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.
What ships with Adyen ⇄ AWS Aurora MySQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Adyen or AWS Aurora MySQL 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 AWS Aurora MySQL record.

Observability

Monitoring

Track your Adyen ⇄ AWS Aurora MySQL 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 AWS Aurora MySQL.

How the Adyen and AWS Aurora MySQL 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.

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC
How it works

How to connect Adyen to AWS Aurora MySQL — 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 AWS Aurora MySQL 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
    AWS Aurora MySQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Adyen and AWS Aurora MySQL 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 ⇄ AWS Aurora MySQL
    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 AWS Aurora MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Adyen and AWS Aurora MySQL 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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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 445 integrations available for Adyen and AWS Aurora MySQL.

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