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Database ⇄ ERP

AWS Aurora PostgreSQL to SAP Business One integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL and SAP Business One 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

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Why teams connect AWS Aurora PostgreSQL and SAP Business One

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

Teams connect SAP Business One to AWS Aurora PostgreSQL to work with ERP records — Business Partners, Items, Sales Orders — as ordinary Postgres tables. This gives developers and analysts SQL access to order-to-cash and purchasing data, with row-level writes flowing back into SAP Business One.

Stacksync mirrors Journal Entries, Warehouses, Price Lists, Activities from SAP Business One into AWS Aurora PostgreSQL and keeps both sides consistent in real time. Whatever SAP Business One 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 Business One with its validations respected.

Common use cases

  • 01 Feed e-commerce or internal apps from an Aurora mirror of Items and Sales Order rows.
  • 02 Create Purchase Orders in SAP Business One by inserting rows into an Aurora table.
  • 03 Report on Deliveries and A/R Invoices with SQL instead of the API.
  • 04 Feed operational dashboards from a read replica while the writer handles sync traffic.

Common sync patterns

Order visibility

SAP Business One Sales Orders and Deliveries sync into Aurora tables for fulfillment reporting.

Invoice reconciliation

A/R Invoices land as Aurora rows to be matched against payment data in other schemas.

Item and partner master sync

Business Partners and Items stay aligned between SAP Business One and Aurora application tables.

What you can sync between AWS Aurora PostgreSQL and SAP Business One

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 Business One objects How this pairing syncs
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Sales Orders Order documents with header and line structure created from external channels. Primary keys and constraints is specific to AWS Aurora PostgreSQL and Sales Orders to SAP Business One — 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. A/R Invoices Billing documents synced outward for CRM visibility and payment tracking. Views and materialized views is specific to AWS Aurora PostgreSQL and A/R Invoices to SAP Business One — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Purchase Orders Procurement documents exchanged with supplier-facing tools. Foreign keys is specific to AWS Aurora PostgreSQL and Purchase Orders to SAP Business One — each maps to any object or custom field on the other side.
Replication slots and publications The logical replication objects that power log-based CDC. Deliveries Fulfillment documents read to update shipment status in external systems. Replication slots and publications is specific to AWS Aurora PostgreSQL and Deliveries to SAP Business One — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Journal Entries GL postings replicated for financial reporting. Databases and schemas is specific to AWS Aurora PostgreSQL and Journal Entries to SAP Business One — each maps to any object or custom field on the other side.
Tables The core sync unit; rows are matched across systems by primary key. Warehouses Stock locations that scope inventory quantities in item syncs. Tables is specific to AWS Aurora PostgreSQL and Warehouses to SAP Business One — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL and SAP Business One

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 Business One 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 Business One through its API, with automatic retries and rate-limit backoff.

SAP Business One AWS Aurora PostgreSQL Interval-based propagation

DetectionStacksync polls SAP Business One for changes on an incremental schedule, reading only records changed since the previous pass. Polling on update timestamps.

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

What ships with AWS Aurora PostgreSQL ⇄ SAP Business One

Connect AWS Aurora PostgreSQL and SAP Business One for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–SAP Business One connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or SAP Business One 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 Business One 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 Business One record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ SAP Business One 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 Business One.

How the AWS Aurora PostgreSQL and SAP Business One 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 Business One

Integration surface
Service Layer, a REST API based on OData, plus the legacy COM-based DI API
Authentication
Session-based login with company database, username, and password against the Service Layer
Change detection
Polling on update timestamps; no general-purpose webhook mechanism on the standard surface
Capabilities
read · write
How it works

How to connect AWS Aurora PostgreSQL to SAP Business One — 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 Business One 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 Business One connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and SAP Business One 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 Business One
    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 Business One
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and SAP Business One 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
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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 460 integrations available for AWS Aurora PostgreSQL and SAP Business One.

Popular · 5 of 460
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