Two-way sync
Changes in Adyen or Amazon Aurora instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Updates written to the synced tables in Amazon Aurora propagate into Adyen, so automations can create or correct finance records without custom integration code.
Changes in Adyen appear in Amazon Aurora as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Adyen live in Amazon Aurora as regular tables or collections your team can join, index, and query.
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. |
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.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adyen–Amazon Aurora connection.
Changes in Adyen or Amazon Aurora instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Adyen or Amazon Aurora data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Adyen or Amazon Aurora record.
Track your Adyen ⇄ Amazon Aurora sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Adyen and Amazon Aurora.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Adyen and Amazon Aurora: authenticate both systems, choose the objects to sync (such as Adyen's Modifications (Captures, Refunds, Cancels) and Payment Links), map fields visually, and changes propagate both ways in milliseconds — no code required.
Adyen: Adyen has no generic list-all-payments endpoint; historical transaction data is retrieved from Settlement Detail Reports and reconciled with the pspReference from webhooks, and amounts are expressed in minor units with a currency code. Amazon Aurora: Change data capture uses the native engine mechanisms: MySQL binary log on Aurora MySQL and logical replication on Aurora PostgreSQL. Stacksync's field mapping accounts for these differences between Adyen and Amazon Aurora without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Adyen and Amazon Aurora records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Adyen and Amazon Aurora connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Adyen–Amazon Aurora integration in-house.
Yes — Stacksync ships production-grade connectors for both Adyen and Amazon Aurora. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Adyen: 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. On Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 429 integrations available for Adyen and Amazon Aurora.