Real-time
Two-way sync
Changes in Adyen or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Database
Adyen to PostgreSQL integration — real-time, two-way sync
Keep Adyen and PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
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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 PostgreSQL
Work with Adyen's financial data straight from PostgreSQL: 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 Settlement Detail Reports, Payments, Modifications (Captures, Refunds, Cancels), Payment Links from Adyen into Tables, Views, Materialized Views, Schemas in PostgreSQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against PostgreSQL, 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 Let an application write to its own database and have those rows appear as records in business systems in near real time
- 04 Consolidate data from several microservice databases into one operational Postgres store
Common sync patterns
Internal tools without API plumbing
Build dashboards and back-office tools directly on PostgreSQL; Stacksync handles the API calls, rate limits, and retries against Adyen.
Write back safely
Updates written to the synced tables in PostgreSQL propagate into Adyen, so automations can create or correct finance records without custom integration code.
React to financial events
Changes in Adyen appear in PostgreSQL as row changes, so you can trigger downstream logic with the database tooling you already use.
What you can sync between Adyen and PostgreSQL
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 | PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | Payments is specific to Adyen and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| 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. | Schemas Namespaces that scope which tables a sync reads and writes. | Modifications (Captures, Refunds, Cancels) is specific to Adyen and Schemas to PostgreSQL — 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. | Columns Field-level mapping targets; types are mapped to the connected system's field types. | Payment Links is specific to Adyen and Columns to PostgreSQL — 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. | Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | Merchant Accounts is specific to Adyen and Primary and Unique Keys to PostgreSQL — 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. | JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | Stores is specific to Adyen and JSONB Columns to PostgreSQL — 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. | Sequences Generate surrogate keys for rows created by inbound syncs. | Users and API Credentials is specific to Adyen and Sequences to PostgreSQL — each maps to any object or custom field on the other side. |
How changes propagate between Adyen and PostgreSQL
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 PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.
PostgreSQL Adyen Sub-second propagation
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
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.
- PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Adyen ⇄ PostgreSQL
Connect Adyen and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adyen–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Adyen or PostgreSQL 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 PostgreSQL record.
Observability
Monitoring
Track your Adyen ⇄ PostgreSQL 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 PostgreSQL.
How the Adyen and PostgreSQL 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.
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
How it works
How to connect Adyen to PostgreSQL — 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.
- 01
Connect your apps
Authenticate Adyen and PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Adyen
connected
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Adyen and PostgreSQL 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.
objects · Adyen ⇄ PostgreSQLCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Adyen PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Adyen and PostgreSQL integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Adyen and PostgreSQL: authenticate both systems, choose the objects to sync (such as Adyen's Payments and Modifications (Captures, Refunds, Cancels)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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. PostgreSQL: Composite primary keys are not supported; a single auto-generated primary key column is required. Stacksync's field mapping accounts for these differences between Adyen and PostgreSQL without custom code.
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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 PostgreSQL records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Adyen and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Adyen–PostgreSQL integration in-house.
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Yes — Stacksync ships production-grade connectors for both Adyen and PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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 PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 540 integrations available for Adyen and PostgreSQL.
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