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Accounting and finance ⇄ Data warehouse

Adyen to Apache Impala integration — real-time, two-way sync

Keep Adyen and Apache Impala 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Adyen and Apache Impala

Land the financial records from Adyen in Apache Impala 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 Webhook Configurations, Settlement Detail Reports, Payments, Modifications (Captures, Refunds, Cancels) from Adyen into tables in Apache Impala in real time, and the connection works in both directions: values computed in Apache Impala 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 Sync mutable reference data into Kudu tables via Impala so row-level updates are possible on the Hadoop side.
  • 04 Read new partitions incrementally from Parquet tables and land them in a cloud warehouse during migration.

Common sync patterns

Finance analytics without ETL

Invoices, payments, and customer records from Adyen arrive in Apache Impala as queryable tables, current within seconds instead of a day behind.

Revenue joined with everything else

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

Write-back of computed fields

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

What you can sync between Adyen and Apache Impala

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 Apache Impala objects How this pairing syncs
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. Databases Namespaces shared with the Hive Metastore that scope tables. Payment Links is specific to Adyen and Databases to Apache Impala — 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 HDFS or object-storage backed tables (commonly Parquet) read at interactive speed. Merchant Accounts is specific to Adyen and Tables to Apache Impala — 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. Partitions Partition values used to limit scans and drive incremental reads. Stores is specific to Adyen and Partitions to Apache Impala — 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 Logical views readable as modeled sources. Users and API Credentials is specific to Adyen and Views to Apache Impala — 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. Kudu Tables Kudu-backed tables that support row-level insert, update, upsert, and delete. Webhook Configurations is specific to Adyen and Kudu Tables to Apache Impala — 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. External Tables Tables over files loaded by other tools, queryable without data movement. Settlement Detail Reports is specific to Adyen and External Tables to Apache Impala — each maps to any object or custom field on the other side.

How changes propagate between Adyen and Apache Impala

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

Apache Impala Adyen Interval-based propagation

DetectionStacksync polls Apache Impala for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns.

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.
  • Apache Impala: No API quotas; concurrency is bounded by cluster resources and admission control settings.
What ships with Adyen ⇄ Apache Impala

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Adyen or Apache Impala 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 Apache Impala record.

Observability

Monitoring

Track your Adyen ⇄ Apache Impala 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 Apache Impala.

How the Adyen and Apache Impala 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.

Apache Impala

Integration surface
SQL over JDBC/ODBC (HiveServer2-compatible protocol)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition or timestamp columns; no change log exposed for external consumers
Capabilities
read · write
Rate limits
No API quotas; concurrency is bounded by cluster resources and admission control settings
How it works

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

    Choose tables

    Pick the Adyen and Apache Impala 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 ⇄ Apache Impala
    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 Apache Impala
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Adyen and Apache Impala 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

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