Skip to content
Accounting and finance ⇄ Data warehouse

Adyen to Databricks integration — real-time, two-way sync

Keep Adyen and Databricks 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
  • POC with real engineers in minutes

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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Adyen and Databricks

Land the financial records from Adyen in Databricks continuously, and write results back, without building or maintaining a pipeline.

Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.

Stacksync syncs Merchant Accounts, Stores, Users and API Credentials, Webhook Configurations from Adyen into tables in Databricks in real time, and the connection works in both directions: values computed in Databricks can be written back to fields in Adyen where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.

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 Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • 04 Serve ML feature outputs computed in Databricks to production apps through a synced operational store.

Common sync patterns

Revenue joined with everything else

Analysts combine Adyen's financial records with product, marketing, or operational data already in Databricks for reporting the finance system cannot do alone.

Write-back of computed fields

Scores or segments computed in Databricks, like payment-risk flags or customer tiers, sync back onto records in Adyen where the finance team can act on them.

Queryable history for audit and reconciliation

A continuously synced copy in Databricks gives you a durable, queryable record of financial data for month-end and audit questions.

What you can sync between Adyen and Databricks

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 Databricks objects How this pairing syncs
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. Delta Tables The primary read and write target; operational data lands here as managed or external tables. Stores is specific to Adyen and Delta Tables to Databricks — 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. Views Curated read-only projections used as sync sources for downstream tools. Users and API Credentials is specific to Adyen and Views to Databricks — 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. Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Webhook Configurations is specific to Adyen and Materialized Views to Databricks — 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. Volumes Unity Catalog file storage used for staging bulk loads. Settlement Detail Reports is specific to Adyen and Volumes to Databricks — 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. SQL Warehouses The compute endpoint a sync connects to for query execution. Payments is specific to Adyen and SQL Warehouses to Databricks — 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. Change Data Feed Row-level change records on Delta tables that drive incremental reads. Modifications (Captures, Refunds, Cancels) is specific to Adyen and Change Data Feed to Databricks — each maps to any object or custom field on the other side.

How changes propagate between Adyen and Databricks

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 Databricks 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 Databricks as a row-level write, with types converted between the two schemas.

Databricks Adyen Sub-second propagation

DetectionChanges in Databricks are captured at the source via change data capture — no polling loop against its API. Delta Lake Change Data Feed for row-level changes.

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.
  • Databricks: Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits.
What ships with Adyen ⇄ Databricks

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Adyen or Databricks 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 Databricks record.

Observability

Monitoring

Track your Adyen ⇄ Databricks 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 Databricks.

How the Adyen and Databricks 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.

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits
How it works

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

    Choose tables

    Pick the Adyen and Databricks 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 ⇄ Databricks
    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 Databricks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Adyen and Databricks 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.

Learn more about security
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:

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 545 integrations available for Adyen and Databricks.

Popular · 7 of 545
All Adyen integrations All Databricks integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own