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Accounting and finance ⇄ Data warehouse

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

Keep Adyen and Apache Hive 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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Why teams connect Adyen and Apache Hive

Land the financial records from Adyen in Apache Hive 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 Hive in real time, and the connection works in both directions: values computed in Apache Hive 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 Load Settlement Detail Reports into a warehouse to break out fees, interchange, and net payouts by merchant account for finance and treasury reporting.
  • 02 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.
  • 03 Bridge a legacy Hadoop warehouse to a cloud warehouse during migration by syncing tables continuously.
  • 04 Extract curated Hive tables into operational databases or SaaS tools so business teams use data locked in Hadoop.

Common sync patterns

Revenue joined with everything else

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

Write-back of computed fields

Scores or segments computed in Apache Hive, 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 Apache Hive gives you a durable, queryable record of financial data for month-end and audit questions.

What you can sync between Adyen and Apache Hive

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 Hive 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. Databases Metastore namespaces that scope tables and grants. Payments is specific to Adyen and Databases to Apache Hive — 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. Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. Modifications (Captures, Refunds, Cancels) is specific to Adyen and Managed Tables to Apache Hive — 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. External Tables Tables over existing files in HDFS or object storage, read without moving data. Payment Links is specific to Adyen and External Tables to Apache Hive — 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. Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. Merchant Accounts is specific to Adyen and Partitions to Apache Hive — 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 Logical views readable as modeled sources. Stores is specific to Adyen and Views to Apache Hive — 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 results available in newer Hive versions for faster reads. Users and API Credentials is specific to Adyen and Materialized Views to Apache Hive — each maps to any object or custom field on the other side.

How changes propagate between Adyen and Apache Hive

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

Apache Hive Adyen Interval-based propagation

DetectionStacksync polls Apache Hive for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition values 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 Hive: No API quotas; query latency reflects the batch-oriented execution engine underneath.
What ships with Adyen ⇄ Apache Hive

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Adyen or Apache Hive 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 Hive record.

Observability

Monitoring

Track your Adyen ⇄ Apache Hive 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 Hive.

How the Adyen and Apache Hive 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 Hive

Integration surface
SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition values or timestamp columns; no general-purpose change log for external consumers
Capabilities
read · write
Rate limits
No API quotas; query latency reflects the batch-oriented execution engine underneath
How it works

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

    Choose tables

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

Adyen and Apache Hive integration FAQ

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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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