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Database ⇄ ERP

AWS Aurora PostgreSQL to SAP S/4HANA integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL and SAP S/4HANA 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 AWS Aurora PostgreSQL and SAP S/4HANA

Give your engineers SAP S/4HANA's data in AWS Aurora PostgreSQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.

Connecting SAP S/4HANA to AWS Aurora PostgreSQL exposes core ERP objects — Business Partners, Sales Orders, Products / Materials — as Postgres tables and rows. Teams use it to query S/4HANA data with standard SQL and drive updates back into SAP without building a custom integration for each object.

Stacksync mirrors Billing Documents (Invoices), Deliveries, Journal Entries, Customer / Supplier Roles from SAP S/4HANA into AWS Aurora PostgreSQL and keeps both sides consistent in real time. Whatever SAP S/4HANA is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in AWS Aurora PostgreSQL sync back into SAP S/4HANA with its validations respected.

Common use cases

  • 01 Give data teams SQL access to Purchase Orders and Billing Documents without SAP-specific tooling.
  • 02 Update Business Partner records in S/4HANA by writing to Aurora rows from internal systems.
  • 03 Maintain an Aurora reporting layer over live S/4HANA Sales Order status.
  • 04 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.

Common sync patterns

Sales order mirror

S/4HANA Sales Orders and Deliveries sync into Aurora tables for logistics and revenue reporting.

Billing data pipeline

Billing Documents (Invoices) land as Aurora rows to reconcile against payments in other schemas.

Material master alignment

Products / Materials and Business Partners stay consistent between S/4HANA and Aurora application tables.

What you can sync between AWS Aurora PostgreSQL and SAP S/4HANA

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.

AWS Aurora PostgreSQL objects SAP S/4HANA objects How this pairing syncs
Tables The core sync unit; rows are matched across systems by primary key. Business Partners Unified customer and supplier master records, the anchor entity for CRM-to-ERP account syncs. Tables is specific to AWS Aurora PostgreSQL and Business Partners to SAP S/4HANA — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Sales Orders Order headers and line items synced to CRMs and fulfillment systems as they are created or amended. Rows is specific to AWS Aurora PostgreSQL and Sales Orders to SAP S/4HANA — each maps to any object or custom field on the other side.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Purchase Orders Procurement documents shared with supplier portals and spend-management tools. Columns is specific to AWS Aurora PostgreSQL and Purchase Orders to SAP S/4HANA — each maps to any object or custom field on the other side.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Products / Materials Material master data distributed to e-commerce, PIM, and CRM catalogs. Primary keys and constraints is specific to AWS Aurora PostgreSQL and Products / Materials to SAP S/4HANA — each maps to any object or custom field on the other side.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Billing Documents (Invoices) Invoice data pushed to CRMs and payment or collections tools for finance visibility. Views and materialized views is specific to AWS Aurora PostgreSQL and Billing Documents (Invoices) to SAP S/4HANA — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Deliveries Outbound delivery status synced to customer-facing systems for order tracking. Foreign keys is specific to AWS Aurora PostgreSQL and Deliveries to SAP S/4HANA — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL and SAP S/4HANA

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.

AWS Aurora PostgreSQL SAP S/4HANA Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

DeliveryEach detected change is written to SAP S/4HANA through its API, with automatic retries and rate-limit backoff.

SAP S/4HANA AWS Aurora PostgreSQL Interval-based propagation

DetectionStacksync polls SAP S/4HANA for changes on an incremental schedule, reading only records changed since the previous pass. Polling on change timestamps exposed by the OData services.

DeliveryEach detected change is applied to AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • SAP S/4HANA: Subject to the platform's API rate limits, which vary by edition and communication arrangement.
What ships with AWS Aurora PostgreSQL ⇄ SAP S/4HANA

Connect AWS Aurora PostgreSQL and SAP S/4HANA for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–SAP S/4HANA connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or SAP S/4HANA instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or SAP S/4HANA 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 AWS Aurora PostgreSQL or SAP S/4HANA record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ SAP S/4HANA sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and SAP S/4HANA.

How the AWS Aurora PostgreSQL and SAP S/4HANA connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

SAP S/4HANA

Integration surface
OData REST APIs (v2/v4), with SOAP, BAPI/RFC, and IDoc interfaces on on-premise editions
Authentication
OAuth 2.0 with communication arrangements on cloud editions; basic auth or certificate-based on-premise
Change detection
Polling on change timestamps exposed by the OData services; business events can be emitted through SAP's event infrastructure on cloud editions
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits, which vary by edition and communication arrangement
How it works

How to connect AWS Aurora PostgreSQL to SAP S/4HANA — 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 AWS Aurora PostgreSQL and SAP S/4HANA 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
    AWS Aurora PostgreSQL connected
    SAP S/4HANA connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and SAP S/4HANA 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 · AWS Aurora PostgreSQL ⇄ SAP S/4HANA
    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
    AWS Aurora PostgreSQL SAP S/4HANA
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and SAP S/4HANA 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

Every pair below is a real-time, two-way sync. Search all 455 integrations available for AWS Aurora PostgreSQL and SAP S/4HANA.

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