Two-way sync
Changes in Adyen or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Keep Adyen and Postgres Heroku 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 Users and API Credentials, Webhook Configurations, Settlement Detail Reports, Payments from Adyen into Sequences, Follower Databases, Tables, Views in Postgres Heroku and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Postgres Heroku, and rows your code writes or updates flow back into Adyen with validation, so the finance system stays the system of record.
Changes in Adyen appear in Postgres Heroku as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Adyen live in Postgres Heroku as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on Postgres Heroku; Stacksync handles the API calls, rate limits, and retries against Adyen.
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 | Postgres Heroku 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. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Modifications (Captures, Refunds, Cancels) is specific to Adyen and Primary and Unique Keys to Postgres Heroku — 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. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Payment Links is specific to Adyen and JSONB Columns to Postgres Heroku — 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. | Sequences Generate surrogate keys for rows created by inbound syncs. | Merchant Accounts is specific to Adyen and Sequences to Postgres Heroku — 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. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Stores is specific to Adyen and Follower Databases to Postgres Heroku — 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. | Tables Standard Postgres tables; the primary two-way sync target for app data. | Users and API Credentials is specific to Adyen and Tables to Postgres Heroku — 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. | Views Read-side projections exposed to outbound syncs. | Webhook Configurations is specific to Adyen and Views to Postgres Heroku — 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
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–Postgres Heroku connection.
Changes in Adyen or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Adyen or Postgres Heroku 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 Postgres Heroku record.
Track your Adyen ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Adyen and Postgres Heroku.
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 Postgres Heroku 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 Postgres Heroku 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 Postgres Heroku: 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.
Yes — Stacksync ships production-grade connectors for both Adyen and Postgres Heroku. 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 Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Adyen side: Users and API Credentials, Webhook Configurations, Settlement Detail Reports, Payments, plus custom fields where Adyen exposes them. On the Postgres Heroku side: Sequences, Follower Databases, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Adyen and Postgres Heroku: React to financial events; Query finance data like any other data; Internal tools without API plumbing. Changes in Adyen appear in Postgres Heroku as row changes, so you can trigger downstream logic with the database tooling you already use.
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 443 integrations available for Adyen and Postgres Heroku.